investing

Unofficial, machine-generated summaries, as of 2026-11-09.

Loss DogEarnings Radar & Stock Correlation Map: See what is new! #portfolio #stocks #crypto #markets
  • Earnings Radar is pitched as showing options-implied versus actual earnings moves. This short is a Lossdog product ad, not editorial. The feature is said to show a stock's historical implied moves against its actual post-earnings moves, plus an earnings map and calendar for comparing stocks. It sits under Portfolio > Volatility Lab. No example ticker or result is shown.
  • The ad says owning many stocks doesn't make you diversified. Its case: 20 holdings can still move together. The Correlation Map is said to analyze roughly 10,000 stocks, ETFs and crypto assets, and to flag hidden concentrations once you connect a brokerage account. These are claims about what the tool does; no demonstration or data backs them. It sits under Portfolio Tools > Ticker Insights.
Stock TokThe 3-Month Warning: A Stock Market Crash is Coming...
  • His Pokémon Index has fired its crash warning signal. The index tracks ~1,000 of the most popular and liquid Pokémon cards, and last week it fell nearly -20% in a single week, the one event he was watching for. He treats Pokémon cards as this cycle's NFTs: a hyped risk-on asset whose collapse in 2021 gave roughly a 3-month heads-up before the S&P 500 fell (NFTs remain ~-99% from highs).
  • Stocks get about three more bullish months, then a meltdown. His forecast is a strong November, December and possibly January, including a short, euphoric Santa rally, ending the blow-off top running since ~June 2025, with the crash starting ~January or February 2027. This rests on markets following the 2021 pattern; he gives the lead as ~3 months in the post and 2–3 months in the audio, and says it can only be confirmed in hindsight.
  • Damage in the card market is reaching real people. In the audio he plays clips of a collector saying they were scammed out of $660,000 buying a card and a finance worker describing vendor illiquidity and market compression. He reads this as an early domino effect, offered as anecdote, not measured data.
  • He stays positioned in recession-resistant assets and regional banks. He says regional banks have performed exceptionally well and that his StockTok ETF and StockTok ETF 2.0 baskets were doubling and tripling the S&P 500's performance despite last week's volatility. He expects good individual stocks in the coming weeks despite the warning.
Stock TokBear Market Beginning?
  • It is too early to call a bear market either way. He says he will announce clearly, and say he is selling everything, if he thinks one is starting, as he says he did on December 18th or 19th of 2024, before the short technical bear market of early 2025. By his definition one needs price down 20% from the highs and held for over two months, so neither "bear market" nor "buy the dip" calls are justified yet.
  • He does not buy while indexes trend down with VIX above 21. He calls dip buying and DCA bad long-term habits, says he halts all buying under those conditions, and credits this rule with keeping his portfolio out of bear markets. He notes all bear markets start with an initial drop, so this one may yet become one.
  • His own picks hitting highs argues against a true bear market. Xometry, a stock he bought, hit another all-time high and sits over 60% in profit. GigaCloud Technology rose during the selloff, 15% per the post and about 10% per the audio, though he concedes it was on earnings and retraced half the next day. His inference is that a real bear market would not let such stocks run.
  • AI may simply be resetting to reality. He speculates the AI sector could be "cooked", repeating his disdain for Nvidia since late 2024, which he says has done nothing but hurt retail investors since. Because those stocks carry heavy index weight, a sector repricing would drag the indexes even without a broad bear market.
  • He will resume buying only on confirmed upward structure. His trigger is a bounce followed by new highs, with the indexes back above the 200-day moving average; without that he stays out. He says there is no need to catch the bottom, and wants to watch the next week's price action after a volatile midterm-election week.
Loss DogLIZ Is In the House: How to Handle the Market MELTDOWN | 11.05 | One Lucky Dog
synopsis

Scott and Tony, with Tom away and guest Liz joining for the second half, read the day as a real, orderly selloff concentrated in the NASDAQ. Over the show the NASDAQ went from down 500 to down about 1,400 (roughly 5.5%) and E-mini S&Ps fell as much as 240 (about 3%). The VIX rose from near 18 to as high as 28 before easing under 23. Their prescription was not to hide. Elevated volatility is opportunity, so sell premium or put on spreads now, but keep unit size where it was, defend losers early, and never double up on the belief that the market has to rally. They split on whether the move counts as a crash, and agreed it is not a bottom.

The open. The hosts call it a two-sided market with the NASDAQ "on a death spiral". The losses came on the same day as rallies elsewhere: the Dow and Russell were initially up and Apple was a contrarian gainer. Nvidia broke $200 and reached about $182, AMD fell $62, Micron traded near $690–730 against a high near $1,250, and Tesla fell to about $350. One host, already short the NASDAQ, kept adding and covering into rallies. Oil near $89, down from about $105, is read as fear coming off the table on the geopolitical side. The hosts say they are surprised bonds haven't sold off.

Question of the day: news. Asked whether following news helps retail traders, one host wants all the information he can get but avoids social media rabbit holes. He sits between Tom, who says news doesn't matter, and the other host. He argues consequences have been building: rates higher, oil elevated, and tariffs that one politician claims cost constituents $4,500 a year, against the $1,500–2,000 he has heard elsewhere. Both expect financial media to blame newly elected anti-data-center governors, and dismiss that because they take office in January. Their own explanation is that the stocks were overcooked, and price is not mean-reverting.

Viewer mechanics. Monthly strikes are sparser than weeklies because market makers add strikes when demand appears. One host says he has pushed exchanges to make strikes closing-only if no opening trade comes within a day or two, calling illiquid options "vehicles for fraud". For two short December QQQ 670 puts with QQQ at 668, the advice is to roll down or sell one 20–30 delta call. A short put that grows from about 20 delta to 35–40 needs defending, and the 21-day exit is a guideline for winners only. A viewer who quit their job to trade is told to allow about a year so they see both up and down markets. On futures, one host sizes an E-mini as about $25,000–26,000 of exposure at 5–10% of the account, giving $50,000 minimum ($25,000 for a micro), and the other would double that. Rolling one side of an iron condor to another expiration loses the single-cycle margin benefit. Equity pre- and post-market trades are real, and a broker that blocks them should be replaced.

Tony's trades. These were placed the day before and were mostly defined risk. One exception is a naked short put on a roughly $50 stock with an IV rank of 79, down 10 cents. An unfilled trade needing $2,300 of buying power would have been down $37.

Liz on the tape. Liz argues new traders feel this as worse than it is, since the S&P has only given back the summer. The hosts counter that individual names are down 30–50%. On why it is hard to get short in a selloff, they say traders are conditioned to expect snapback rallies and feel they are selling into the hole. They read a rising VIX on a down day as the market "believing" the move. One host warns that his old clearing firm, Apex, raised requirements after five consecutive VIX closes above 25 and immediately above 30. Naked short options then cost more to hold.

Gold and the zebra. Liz treats gold and silver as an investment rather than a trade. She automatically buys small amounts of GLD and SLV, about half a percent of her account each, and separately sells puts as trades. In an IRA she prefers a zebra to a poor man's covered call: sell one 50 delta call and buy two 70 delta calls, at roughly 10–15% of the capital the stock would cost, then sell a call against it.

Crash or not. One host calls the move too orderly to be a crash, putting the threshold at S&Ps down 400–500 and the NASDAQ below 26,000. That is his side of a standing bet whose other side is new highs near 31,600. Liz and the other host argue that wiping out a year in a month is a crash. Supporting the bear case, one host cites FINRA margin debt at record highs, about $1.2 trillion, back in August. Viewer polls: 63% say QQQ won't make new highs this year, and 55% say this is not the beginning of a crash.

Stock ideas. For Nvidia, December 170 puts were about $9 (about 30 delta) and 160 puts about $6 (23 delta). Liz prefers jade lizards to strangles in case the market rubber-bands upward. The hosts call Nvidia safer than AMD or Micron. They defend short selling as necessary for rational prices and warn against shorting low-float names. For a Dell strangle with the puts in the money and the stock about $320, they lean toward covering all or part. The hosts' pitch occupied one segment: Liz and Jenny's Level Up show launching on the Cboe floor on December 1, and the One Lucky Dog app awaiting Apple approval.

Close. One host says he raised size for the first time in the decline, from about 30% to 60% of normal. Another says to widen spreads and move them closer to the money rather than add units. Their advice to someone uncomfortable is to close everything, because the market will still be there. A position the market forces you to adjust is, they say, the message to size smaller.

  • The selloff is a violent down move; whether it's a crash is disputed. During the show the NASDAQ fell from down 500 to down roughly 1,400 (about 5.5%) and E-mini S&Ps fell as much as 240 (about 3%). One host calls it too orderly to be a crash and sets the bar at S&Ps down 400–500 and NASDAQ below 26,000. The other side, guest Liz among them, argues that erasing a year of gains in a month is a crash.
  • Overcooked AI names are being repriced and needn't revert. The hosts cite Micron from about $1,250 to under $700, Cerebras from roughly $350 after a $175 IPO to about $82, and Nvidia from $240 in October to about $182. They reject the expected media explanation, newly elected governors opposed to data centers, because those governors don't take office until January.
  • Elevated volatility is the "opportunity index", but discipline sets size. Their argument is "if not now, when": sell premium or use spreads while implied volatility is high, because volatility mean-reverts faster than price. Keep unit size unchanged and move strikes closer to the money. One host says he went from about 30% to 60% of normal size; another treats a VIX close above 25 as the warning line.
  • Defend losers by delta, not by the 21-day guideline. The hosts say taking off positions at 21 days to expiration is an offensive rule for winners. A short put sold near 20 delta that reaches 35–40 needs action now. For two short QQQ 670 puts with the ETF at 668, one suggests rolling down or selling one 20–30 delta call to cut delta. Positions sized too big force action at the worst moment.
  • Futures need a larger account than their margin suggests. One host treats an E-mini S&P as about $25,000–26,000 of exposure per contract and a micro as a tenth of that, sizing at 5–10% of the account. That implies at least $50,000 for an E-mini, or $25,000 for a micro. The other would double those minimums and calls a $26,000 NASDAQ contract too much for a $100,000 account.
Loss DogTrading Discipline: Position Sizing in a Volatile Market #tradingstrategy #trading #markets
  • Add size slowly into a selloff, never double or triple. One host says he added size for the first time in the whole move lower that day, taking his positions from roughly 30% to roughly 60% of normal, with E-mini S&P futures 80–100 handles above where they then stood after a 60-handle rally. He says he is not calling a bottom and is still not at full size because he is afraid too.
  • Discipline means sizing to the account, not to conviction. The hosts warn against assuming "it's got to rally" and doubling or tripling a position; the speaker describes adjusting delta up and down slowly instead. He frames "if not now, when" as an argument for trading through the volatility, while conceding the day's losses outran his recent wins.
Master InvestorPioneers Don't Always Win: Dan Niles on Anthropic & OpenAI
  • A pulled Anthropic IPO would signal the AI top is in. Responding to Frost on Anthropic's S-1 filing and plan to list within weeks, Niles calls a failed deal "horrific" and says it would raise the question of whether the top came back in June. His forecast is that the deal does get done, but possibly raising less money at a much lower valuation than expected 30 to 90 days ago.
  • Anthropic is the stronger company; OpenAI gets squeezed. In Niles's view Anthropic is best placed to raise money because it is such a good enterprise tool. He argues OpenAI is stuck between Anthropic in enterprise and Google in consumer.
  • Tech pioneers often aren't the eventual winners. Niles cites AOL and Netscape in the internet era, Nokia (once 40% of smartphone share), IBM in PCs, MySpace in social media, and Webvan. He uses these to argue that the companies starting the AI cycle won't necessarily dominate it.
Loss DogWrite the Wrongs: Trading Journals, MRVL, AAPL, PLTR & Butterflies | 11.04 | One Lucky Dog
synopsis

Scott and Tony, with Tom phoning in from Austin, spent the day after the election arguing that the overnight whipsaw proved nobody knows anything. Under the index rally they saw a market that was still selling AI and data-center names hard. Their advice was to trade small and diversified across strategies, let the market's verdict on deals and earnings override the headline numbers, and treat earnings trades as binary bets to close afterwards. They made a standing bet on where the NASDAQ goes next: one host takes 26,000 and the other new highs near 31,600.

The overnight whipsaw. E-mini S&Ps fell more than 100 and the NASDAQ about 500 overnight, touching the NASDAQ's August lows. They then opened up roughly 100 and 400, with the Dow up about 1,000–1,300 and gold up about $100. One host, short NASDAQ futures, says the drop looked like "the end of the world" and he could not buy. The other bought E-minis unchanged and scratched them about 50 cents worse after watching them drop. A viewer poll found 72% did not buy the lows. AMD traded up to about $530 after earnings and then turned negative. The hosts tie Tesla and SpaceX weakness to Musk facing a Democratic Congress after spending nearly $500 million on the race.

Trading journals. Neither host has kept a journal. One thinks it helps visual learners see their mistakes. The other argues that a covered-call writer in a rising market will mistake the market's help for skill, and warns against using a journal to cherry-pick.

Viewer mechanics. For a $50,000 account, they recommend strategy diversification over only iron condors, such as a wide iron condor as a synthetic strangle on cheaper stocks. A viewer short a December gold strangle at 3,500/4,800, down $3,500 against a $5,000 limit, is told gold futures may be too big for that tolerance and to consider GLD, closing, or taking half off. The expected move sits inside one standard deviation because it comes from the front-month straddle, roughly 80% of it, so multiplying the straddle by 1.25 approximates the one-standard-deviation move. Index ETFs nearly always carry put skew and high flyers call skew, so the hosts favor IV rank over any skew percentage. A 45-day, 16-delta strangle at IV rank above 50, managed at 21 days or 50% profit, is endorsed as their standard approach. Selling butterflies is rejected outside 0DTE.

Agentic trades. The trades listed were a Marvell December strangle (the strike was shifted lower after the stock's fall; IV rank 52; earnings December 1), an SLV covered call, a Coinbase iron condor risking $7 to make $3, and a Google broken-wing put butterfly for a 25-cent credit. One host would make the Marvell trade a jade lizard instead, fearing a sharp rebound. Tom, calling in, says he bought Intel overnight at $57.50.

Marvell–Lumentum. Both stocks fell on the all-stock offer, which the hosts describe as $115 billion at roughly a 50% premium. Marvell dropped from about $250 to $163 and hasn't had an uptick since. The hosts say a cash deal would have been received differently, compare it to AOL–Time Warner, and say chasing the deal spread is picking up pennies in front of a steamroller. If the deal collapses, they see a possible bullish options trade on the most recent $20 drop, but not a full recovery.

AI consolidation and data centers. They cite CrowdStrike buying two AI security startups for $495 million and a count of 391 AI tools shut down or acquired by October 31, 80 of them acquired and then shut down. Their reading is that buyers are taking technology rather than building it. Three governors elected on curbing data centers are, they argue, why power names fell 5–12% on an up day. The hosts suggest companies should pay communities, for example through property-tax relief, to win acceptance.

Rotation and the 200-day. The NASDAQ 100 was 10% off its October 6 high. One host dismisses the 200-day line, since there is always another moving average above or below it. He doubts Intel's drop from 120 to 60 was rotation. One host's bias for bonds is rangebound to lower.

Apple and Palantir. Apple beat on earnings per share, revenue and iPhone growth. It fell about 4% on guidance cutting gross margin from 46% to 45%, then made an all-time high at $354.14. One host had skipped trading it because Apple stayed in its expected range only 66% of the time, a figure from the platform's newly launched earnings tool. The hosts give a viewer's praise of that tool airtime as a plug. The lesson they draw is to close earnings positions once the event passes. Nvidia near $202 is watched for a break of $200.

Butterflies. A long call butterfly centers its short strike where the trader expects the stock to land. It is cheap because, by one host's recollection, it pins only 5–6% of the time and profits about 12% of the time. The hosts reserve it for 0DTE index trades.

  • Election night proved again that nobody knows anything. E-mini S&Ps fell more than 100 and the NASDAQ about 500 overnight, then opened up more than 100 and about 400 respectively. Both hosts say they could not bring themselves to buy the lows; 72% of a viewer poll didn't either. Tom, calling in, argues that even knowing the results in advance, nearly everyone would have lost money holding a position to the next day's close.
  • A trading journal can flatter a strategy the market rewarded. One host thinks a journal helps visual learners see what they did right and wrong. The other pushes back: a covered-call trader in a market up 10% will think the journal proves the strategy, when the market simply accommodated it. Neither host has ever kept one.
  • The market rejected Marvell's all-stock bid for Lumentum. Both stocks fell on the roughly 50% premium deal, described in the show as $115 billion in stock; Marvell slid from about $250 to $163. The hosts say a cash offer would have been received differently. They call trying to capture a deal spread "picking up pennies in front of a steamroller". They suggest a bullish options trade only if the deal is called off.
  • Apple and Palantir show earnings trades are binary bets. Apple reported $2.10 per share against $1.99 expected, revenue of $114.48 billion against $113.38 billion, and iPhone revenue up about 18%. It fell about 4% on gross-margin guidance cut from 46% to 45%, then hit an all-time high of $354.14 the next day. The hosts' rule: close an earnings trade afterwards and put on a new one rather than defend it.
  • Long butterflies are cheap because they rarely pay. A straight call butterfly centers its short strike where the trader expects the stock to land, and the hosts cite from memory a 5–6% chance of pinning that strike and about 12% of any profit. They have long avoided butterflies 45 days out because they take too long to develop, but say they can make sense in 0DTE index options.
Loss DogGold Options Risk: What to Do Near Your Max Loss #goldtrading #optionstrading #tradingstrategy
  • A $5,000 loss limit is too small for gold futures strangles. A viewer down about $3,500 against a $5,000 max-loss threshold, strikes not yet breached, asks what to do; both hosts suggest the product is too big for that tolerance and point to a couple of GLD contracts instead, one calling gold futures roughly 10 times the size of an NVIDIA option.
  • Use the rebound to close, roll, or halve the position. With gold up about $115 to roughly 4,055, trading mid-strikes and volatility having come in, the hosts argue it is a good moment to exit if the position is causing stress. The alternatives offered are closing it, moving the strikes, or taking off half if holding more than one contract.
Stock TokEven More Bullish News!
  • The bull market is intact, and the bearish calls were wrong. He says he held this view for weeks, dismissing headlines and the "pop-up guru influencers" who arrived after the PDT rule went away and flipped bearish when their hype stocks fell. He points to the market having risen through multiple conflicts and wars, and to today's broad rally as his forecasts coming to fruition.
  • A Democratic sweep is bullish because gridlock blocks wild policy. He reports Democrats took the House and Senate last night, which he had called "incredibly likely." His reasoning: a government in gridlock can't push through major economic policy, and the predictability that results attracts investors.
  • He expects a government shutdown, and expects markets to climb through it. This is his own speculation: with Democrats in control of Congress he finds a major budget agreement unlikely, so a shutdown is something to watch through November. Historically, he says, markets dip in an "anticipatory pullback" beforehand and then climb fast during the shutdown, since no major policy or geopolitical shifts can happen. He thinks a Santa rally is looking more likely and calls for a "blow off top."
  • His book is working, and he will add once charts form structure. Xometry, his best position, is near 60% profit with no leverage; his regional banks are rising, and both StockTok ETFs are at new all-time highs. He just sold Hinge Health for a +20% gain and remains concentrated in regional banks, precious metal miners and insurance. If chart structure re-forms as recovering stocks settle, which he expects, he plans to get aggressive with new positions.
Master InvestorWill Google Be The Long Term Winner?
  • Record query growth means Google's search worries are overdone. The guest notes search revenue missed plan for a second straight quarter and YouTube also missed, reviving fears that AI agents, which don't look at ads, will disintermediate search. His counter is that Google reported its highest query growth in 5 years, so usage is there and the remaining task is showing more ads on those results.
  • Consumers will reach AI through their phones, favouring Google and Apple. He sees the end state as a user asking Siri or Android to dispatch an agent, which leaves the two smartphone ecosystem owners well positioned. He points to Apple now paying Google for AI, the reverse of search where Google paid Apple, and to Android running the other 75% of the world's phones.
  • Wait for the dust to settle before buying the pullback. Asked whether to buy immediately after Google's 30% drop from its high, the guest says he doesn't know and prefers to let investor perception settle first. He expects Google to have a great year next year but warns against getting caught in a big drawdown, since how long investors take to come round is unknown.
Loss DogDividend Danger, OpenAI, Iran, Election Day & Put Spreads | 11.03 | One Lucky Dog
synopsis

The hosts read the market as heavy: the Nasdaq is roughly 10% off its highs, every rally has been sold, and the VIX holds above 20 even on an up day. They treat both the election and the Iran strike reports as already priced in. Their advice is to stay nimble, size small enough to act when chances come, and pick a strategy that fits implied volatility rather than trading the headlines.

Open and election expectations. Tom describes buying Nasdaq futures and silver overnight while Apple and Palantir sold off after earnings. He is caught long Intel, Coinbase, Reddit and Robinhood, and is short Intel 80 puts. He expects a Democratic sweep that is already priced in, and little to happen before about 9 p.m., recalling a quiet 2016 election-night show that swung after he went home. He guesses the market might put in a short-term low today and drift down later in the week.

Dividends and viewer mechanics. On the question of the day, both hosts say a rising yield mostly means the price fell. A dividend cut worries them; eliminating a dividend to chase growth doesn't. Emailed questions get quick answers. When IV rank is low, keep trading at smaller size. Lump-sum investing statistically beats dollar-cost averaging, though not by much; Scott would put a big portion in now but not all, expecting further pullback. Tokenized trading still lacks uniformity, liquidity ("zero") and transparency. An iron condor can be adjusted inward only as far as an iron fly, since inverting it locks in a box.

Taxes, IRAs and loss-taking calls. A caller gets free content and Julia Spina's options book (about $20) as a starting point. Tom calls tax-loss harvesting a "scammy" buzzword that advisors use to gather assets. He says he has never traded for tax reasons and claims wash-sale rules don't affect options and futures. Scott leans 51/49 toward a Roth and says to always take a 401(k) match. Tom says no one should open an IRA at all. A caller from retirement planning pushes back, citing Social Security taxation, Medicare premiums and changing tax rates. Tony later sides with the caller, and a Dog Pound poll says 77% would not hire Tom as a tax advisor. On loss-taking, Tom says their think tank tested exits at 1x to 5x the premium and found no clear answer. Intel's overnight move was about four standard deviations ($30 against an $8 expected move) and couldn't be managed. Apple's rebound from its pre-market low shows the risk of the "first loss is the best loss" rule.

Scott's trades. He sells a /ZB 113/103 strangle (72% probability of profit, IV rank 56%, $2,340 buying power), buys a Rocket Lab 50/55 call spread for $2.45 into earnings on the 9th (48%), and sells a Cerebras November 75 put for $2.18 into earnings on the 12th (83%, $772). Cerebras IPO'd at $175 and trades near $97; he holds it pre-IPO under lockup and says he hates it. Last is a Google December double ratio for a $3.54 credit (80%, $2,976).

Tony joins: tone and the AI raise. Tony fact-checks 2016: futures were limit-down, not down 120. He calls the market stuck, with Nasdaq rallies being sold. On OpenAI raising about $11 billion of a $30 billion target at $1.25 trillion, one host says the bloom is off the rose. He expects an AI miss to be the eventual catalyst and thinks this bodes poorly for Anthropic's IPO, though a lowered IPO price range is called healthy. The other host says to trade listed AI names on IV rank, sticking to established names over fringe ones. He notes Micron went from about $200 to $1,250 and is now near $860. SpaceX, roughly flat since its IPO, is praised as a trading vehicle with options listed within days. On how far a large cap can fall, the answer is that it depends on implied volatility and the size of the prior run.

Verticals, Iran, and a pitch. A beginner with little cash is steered to selling verticals. A $5-wide spread sold for $1.50 risks $350 whatever the underlying's price. On the Iran reports, Scott expects upward pressure on oil if fighting resumes but says the market doesn't care. Defined risk still carries plenty of risk, and the trader has to be comfortable with the trade. A caller's praise of the platform's earnings data ("Bloomberg without the price") is product promotion.

Election trading and closing mechanics. VIX near 19 implies roughly a 1% daily S&P move. Scott thinks macro factors like oil and food prices matter over time and bonds go lower; Tom thinks bonds go higher. Equities offer about 50 liquid underlyings versus one bond market. Kalshi puts a Democratic sweep at 76% (the Dog Pound says 54%) and Talarico over Paxton at 71%. The S&P was higher 12 months after all 19 midterms since 1950, but day-after moves were mixed. Tony buys diagonals for under half the strike width and takes profit around $1, or takes half off. On put debit spreads, one host prefers buying a put and selling a call. Tony prefers cutting the stock position in half. A caller is told a calendar has almost no delta, so they should leave it on and open a separate trade rather than shift legs.

  • A high dividend yield mostly signals a lower price, not danger. The hosts argue the payout comes from revenue, so a falling price alone says little; a dividend cut is the warning sign, while eliminating one to chase growth is not (they cite Disney, and urging IG Group to drop its 5% dividend). Neither host owns dividend stocks, and both say they prefer growth.
  • OpenAI's short raise shows the AI bloom is off. As reported on the show, OpenAI secured about $11 billion against a $30 billion target (~37%) at a $1.25 trillion valuation versus $1.4 trillion sought. One host can't see the spending pace continuing and expects an AI miss to trigger a broader decline; the other says to trade listed AI names by IV rank and stick to established names rather than fringe ones.
  • The hosts expect the Iran strike reports to be already priced. The show cites New York Times, Axios and The Hill reports of strike plans for after the midterms, noting Al Jazeera's point that preparation is not an order. One host warns renewed conflict would push oil up. Their advice is to pick risk you're comfortable owning, since defined-risk trades can still carry plenty of risk depending on width and delta.
  • Election night should be a non-event during trading hours. Tom expects a Democratic sweep that is already priced in. Tony's fact-check of 2016 (Dow futures limit-down overnight) cuts against "nothing happens," though he agrees it happened late at night. Cited history: the S&P was higher 12 months after all 19 midterms since 1950, averaging ~15%, but day-after moves were mixed (+2% in 2018, −2% in 2022).
  • A put debit spread hedges cheaply but caps the protection. Their example: on a $100 stock, a 90/85 put spread costing $1.50 pays at most $3.50. A long put protects all the way down but decays. One host prefers buying a put and selling a call. Another argues a few hundred dollars can't hedge a $5,000 risk, so sell half the shares instead.
Loss DogIs the AI Bubble Bursting? How to Protect Your Profits #ai #aistocks #finance #markets #money
  • An AI disappointment is the likeliest trigger for a lower market. The question is framed by a report that OpenAI raised less than half of a $30 billion target, at a lower valuation than it wanted, in a week the Nasdaq 100 sold off hard. One host predicts the market goes lower and says global AI spending is so large that "something in AI just misses" is the most obvious cause, while conceding nobody knows.
  • The AI pace cannot hold if rates stay put or rise. Asked whether the bubble is bursting, one host says only that "the bloom is off the rose" and declines to call it. Their argument is that a falling market drags good stocks down as collateral damage, so holders should not assume quality protects them; whether a dip is a buying opportunity depends on where the market sits in three to six months, which they say they cannot know.
  • Drop the top-tick mentality: a former high need not return. One host warns against assuming a stock must go back to a price it once traded at, and the other notes this is a recurring point on the show.
  • To buy AI weakness, use established names, not fringe stocks. For anyone wanting to "catch a falling knife", the hosts point back to their usual method: check IV rank, then pick the strategy. They say to stick with "the chalk", as they argued for crypto, because fringe names carry more volatility and break outside their expected moves more often. They name no tickers, levels or specific hedges, despite the title's promise to protect profits.
Master InvestorDan Niles' 10 Year Pitch
  • Holding one tech stock for a decade is a mistake. Asked by Frost for a single ten-year holding, Dan Niles called the premise "ridiculous": in technology, creative destruction means you might get lucky but more often won't. He pointed to AOL, Netscape, MySpace and Nokia, which once had 40% smartphone share, and said tech investors have to stay flexible.
  • Niles expects Apple to be a great stock next year. His reason is a foldable iPhone (named in the captions as "the Duo"), which he predicts will drive a huge upgrade cycle; he notes Samsung has had a foldable since 2019. He also argues the top 25% of consumers will access AI through their smartphones, and that Apple will benefit from that. This is a one-year call, not the ten-year pick he was asked for.
Stock TokStockTok ETF Doubles the S&P 500 - Update on What to Buy, Hold & Sell
  • This post includes paid content that is not available publicly. See the original source.
Master InvestorBig Tech Selloff: Dan Niles on What Happens Next
synopsis

Dan Niles of Niles Investment Management, recorded the Monday before the midterms after a sharp tech selloff, holds that AI is heading for a "horrific bust" but that this drawdown more likely resembles 1997–98 than 2000. He is more negative than a year ago because capital is scarcer, and he trades week to week, long and short. He favours cash-flow-positive platforms and calls the neoclouds "toast."

Where the cycle stands. Six months earlier Niles forecast a 30–50% AI selloff by early 2027. He sizes AI at about 3.5% of GDP, more than highways, electrification and the internet combined, which he says guarantees overinvestment. Agentic AI needs 10–100x more tokens than chat, though, and enterprises are only starting.

Money and growth. He blames the pullback on two things. Financing is repricing: neocloud deals have been pushed out, CoreWeave debt trades at 15%, CDS have widened, and Meta, Oracle and OpenAI are all raising money ahead of Anthropic. Growth is slowing: OpenAI and Anthropic spend was up about 9x by early August and has been flat since, and Anthropic's sequential growth fell from 145% to 45%. He expects Anthropic's IPO to get done, but smaller and cheaper; a pulled deal would suggest the June 22 semiconductor peak was the top. OpenAI, stuck between Anthropic in enterprise and Google in consumer, gets squeezed, as AOL, Netscape and Nokia were.

Earnings, name by name. Microsoft is in the "catbird seat" because enterprises will pay for a safe environment, and Copilot sits on under 10% of 450 million 365 licenses. Google, down 31% from its peak, has query growth at a five-year high, so he sees a monetization problem. He expects consumers to reach AI through phones, which favours Google and Apple, but he will wait for the stock to bottom. On Intel he admits he was "completely just wrong." Chip prices are crushing PCs: Microsoft's Windows OEM line fell 7%, then 22%, and is guided down 35%. Apple's $130 billion-plus of trailing free cash flow, against Amazon's roughly $42 billion burn, explains why investors are hiding there. He expects a foldable phone to drive next year, much as the larger screen lifted growth from 7% to 28% in fiscal 2015. Nvidia is fine, but he argues long-term supply agreements won't save chipmakers in a downturn, recalling Cisco's order growth swinging from +70% to -30%.

Midterms and seasonality. Texas slowing data centers turned him more negative, and he links Microsoft's roughly $5 billion capex shortfall to the same pushback. Yet November averages +1.8% and is up 71% of the time, more so in midterm years, so equal-weight stocks may hold up.

Positioning, the Fed and oil. He recalls seven 14% rallies inside the 2000–02 bear market, in which the S&P lost about 50%. He expects Fed hikes from December, which he wants for the 40% of Americans without stocks or homes. With Brent above $100, he notes that 10 of the last 12 recessions followed sustained oil rises. His advice: don't assume every dip is a buying opportunity, because one of them will be March 2000.

  • This looks like 1997–98, not the 2000 top. Niles puts AI investment at about 3.5% of GDP, more than highways, electrification and the internet combined, so he thinks a bust is inevitable. He still expects the trade to rip higher first, because agentic AI needs 10–100x more tokens and enterprise adoption is only starting. His analogy is Cisco: drawdowns of 38% and 37% in 1997 and 1998, yet the stock finished those years up 31% and 150%, before the real 80%+ decline from 2000.
  • Two forces drove the pullback: dearer money and slower AI growth. On financing, he cites neocloud deals pushed out (two Nvidia-backed names, including Nscale, plus AirTrunk), CoreWeave debt trading at 15%, and credit default swaps surging even for Meta and Nvidia. On growth, Ramp-index spend on OpenAI and Anthropic rose about 9x from January to early August and has been flat since, while tokens grew about 80%. Anthropic's sequential revenue growth slowed from 145% in Q2 to 45% in Q3, which he puts down to cheap open-weight models and Google's low-cost frontier model.
  • If Anthropic had to pull its IPO, the top is probably in. He calls Anthropic the stronger lab because it focused on enterprise, which pays; he puts OpenAI's paying consumers at roughly 5%. His forecast is that the deal gets done, but at a much lower valuation and raising less than expected 30–90 days ago. He thinks OpenAI gets squeezed between Anthropic in enterprise and Google in consumer.
  • Google's selloff will become a buying opportunity, but not yet. The stock fell 12% in a day after earnings and is down 31% from its peak on a second straight search miss. He holds that query growth at a five-year high means the issue is monetization, the way Meta at IPO had smartphone users but no mobile ads. He wants the stock to bottom first, citing Facebook's 75% fall in 2022, and expects a great year for Google next year, which runs about 75% of the world's phones.
  • Fed hikes and $100 oil are the macro risks he fears. He would be "beyond stunned" if the Fed didn't raise in December and keep raising into next year once the midterms pass. He notes that 10 of the last 12 recessions followed a sustained rise in oil, with Brent still above $100 as of recording. Both a rising oil price and Fed hikes came before the 2000 bust, which he says scares him a lot.
Loss DogGoogle Stock Down 25%: Should You Sell or Hold? #google #stocks #trading #advice #finance #money
  • Don't sell a losing position at its recent bottom. Answering a 30-year-old viewer down 25% on a Google position, both hosts say they would not cut it here; they put the stock at "300 and change" before earnings and about 280 now, and concede it could go a lot lower and that they have no idea where it goes.
  • A 20% single-stock weighting is too much; trim into a rally. Google is about 20% of the viewer's long stock portfolio, which both hosts call a big share and something you have to be willing to live with. Their advice is to lighten up on a bounce, one host naming roughly 300 to 320, rather than at current levels.
Loss DogThink you understand volatility? See what Lossdog has for you this week #volatility #trading #trader
  • Earnings Radar is pitched as testing options' earnings forecasts. This is a product announcement for two new tools in Lossdog's Volatility Lab. The first is said to cover earnings history for about 5,000 stocks, showing the expected move in dollars and percent, how often stocks stayed inside or blew past it, and the typical post-earnings drop in implied volatility.
  • Volatility Landscape is pitched as IV rank with deeper history. The video contrasts it with IV rank tools that look back 12 months, claiming up to 19 years and more than 21 million volatility observations, with comparisons that include or exclude estimated earnings effects. These are the product's claimed capabilities; no results are shown.
Loss DogOvertrading vs. Patience, Small Caps, Oil, INTC & Put Spreads | 11.02 | One Lucky Dog
synopsis

The hosts read the morning's rally as unconvincing. The E-mini S&P was up about 50 and the Nasdaq about 200, after Friday's selloff that Sosnoff called "crash-like without the velocity". Sosnoff had wanted a capitulation, with Friday closing at its lows and the market opening lower, so there would be something to buy. Instead the market had already bounced roughly 100 handles and sat in "no man's land", and by the close of the show he thought a lower close today would not surprise him because the AI stocks carrying the market looked weak. The trade they pushed for viewers was contrarian put selling into the damaged names, sized small and defined where possible. They also argued that crude's fall was a bet on the midterms, not on the war.

Open and Friday's damage. The VIX was near 19.70, gold up about $70, silver up 3.5% to 51 and bonds up to about 108; crude was down $6–7. The hosts listed Friday's losing earnings trades in Reddit, Coinbase and Intel, and short crude calls that took three weeks to scratch. A question on Binance's $6 billion loss drew jokes about its pardoned CEO, not analysis.

Trade often or wait for the fat pitch. One host said his high-conviction setups have been 50-50 at best, so a trader should always be in and diversify by strategy, such as diagonals after 20–30% earnings moves. The other said every trade feels high-conviction when placed, but conceded that long-haul investors at all-time highs have done better. Gold puts sold just over 4,000, with gold later near 3,900, were the example of conviction failing on timing.

Viewer mail and calls. Credit spreads that lay 2-to-1 or 4-to-1 were defended as an 80–90% probability-of-profit play. Short puts are chosen over strangles when a stock is grossly oversold with high implied volatility, or when the trader simply wants to be long. A 30-year-old down 25% on Google, which is 20% of their portfolio, was told to lighten up on a rally toward 300–320, not at the lows. Rolling was defended as a continuation of the trade: the loss is already in the account ($10,000 to $9,000 is a loss whether realized or not), and rolling buys time and usually extra credit. For a $250,000 retirement account using covered calls, they argued covered calls use the most buying power of any strategy. They suggested synthetic or futures-based versions using 20–60% less capital, with the freed cash in short Treasury funds. Callers were told not to hold to 21 DTE on two-week bounce trades. The post-midterm 12-month rally record (about 19 of 20) was called not their style. The advice on cutting bait was to act as soon as the doubt arises. One segment also covered how to handle layoffs honestly.

Sosnoff's trades. He sold puts in Reddit (75s, $2), Robinhood (70s, $2), Intel (57.5s, about $2.40, 72% POP) and SpaceX (December puts, about $2.50, 86% POP). He said each sat near 84% POP and 16 delta, near multi-year lows, with buying power of $1,000–$1,900. He framed this as doing the opposite of everyone selling a breakdown. His co-host's caveat was that it only works if size was kept in reserve.

Earnings Radar. Scott Sheridan replaced Battista and demonstrated a new free Lossdog earnings tool. For example, it is said to show Apple staying inside its expected move 66% of the time across 56 reports. This was product promotion.

Small caps and market structure. Both hosts doubted the circulating claim that small caps averaged 42% from November of a midterm year to April, with no losing period in 80 years, though one said such a record would be tradable if real. One host argued that the market now trades almost tick for tick with roughly a dozen AI names, and that the midterms are priced in unless Republicans hold both houses. The other said Friday was not a one-off and cracks are showing: Meta is about 150 points off its high, Micron down nearly a third from 1,255, and AMD near 503 against 658. He sees room on the downside.

What counts as oversold. One host said a move through the expected move is oversold, though not a reason to pile in. The other said no threshold exists, citing his own too-early buying in 2001, late 2008 (30% lower by March 2009) and 2020. Intel, now around 64, was called "repriced" and unlikely to revisit 100. On bonds, one host said the drop to 101 flushed out sellers and expects slower gains from 107–108.

Oil. Sosnoff called crude's drop an election trade, not a geopolitical one. He predicted 90 before a return to 100, $10 lower before $5 higher, and said renewed strikes on Iran would need Republican control of both houses. Sheridan was less comfortable calling a top. Sosnoff said to trade oil only through /CL options, which are one tick wide on any number of legs and which he re-centres as a strangle each morning. Energy stocks and ETFs were rated two-and-a-half to three stars for liquidity.

Put credit spreads. One host gave the rules: 35–50 days to expiry (45 optimal), short strike at the expected move, credit roughly equal to the short delta times the width, and probability of success about 100 minus that. Management timing matters little. The trade-off is capped upside in exchange for defined risk. They called it a capital-efficient way to keep a little long delta and play positive drift, suggesting an Intel 57/52.5 spread as an example.

  • Trading small and often beats waiting for high-conviction setups. One host argues his own "high-conviction" trades have been 50-50 at best, perhaps 40-60 against him. His answer is to stay involved and vary the strategy, for example defined-risk diagonals after 20–30% earnings moves rather than naked short puts or calls. The other agrees, but concedes that long-haul investors buying at all-time highs have generally done better.
  • The market now moves with a dozen AI names. One host argues that bonds, crude, gold, crypto, politics and most earnings no longer move the index; crude at 103–104 and bonds at 101 failed to. The other accepts this but reads Friday's selloff as a warning rather than a one-off, pointing to Meta about 150 points off its high, Micron down nearly a third from 1,255, and AMD at about 503 against a 658 high.
  • No objective threshold defines oversold in a big-cap stock. The question followed Alphabet's 13% drop Thursday and Intel's roughly 30% drop Friday. One host recalls buying too early in 2001, late 2008 (30% lower by March 2009) and 2020; the other treats a move through the expected move as oversold. Both favour selling puts into the high volatility. Sosnoff's four trades did that in Reddit, Robinhood, Intel and SpaceX, at roughly 84% POP and 16 delta, with $1,000–$1,900 buying power each.
  • Oil's fall is a midterm-election trade, not a war trade. That is Sosnoff's argument. With the traded crude contract around 97 and down about $7, he predicts $10 lower before $5 higher and a cap near 100, even if Iran retaliates. He says renewed bombing would need Republicans holding both houses, which he expects won't happen. His co-host is less sure. Sosnoff says to trade oil only through /CL options, which are one tick wide however many legs, or MCL for futures.
  • Put credit spreads give defined-risk exposure to a bounce. One host sets them at 35–50 days (45 optimal) with the short strike at the expected move, and says the credit is roughly the short delta times the width, so POP is about 100 minus that. The cost is capped upside: a $1 credit on a $100 stock's 90/85 spread risks $4. Owning 100 shares instead loses $1,000 at $90.
Stock TokThe Market Isn’t Acting Like a Bear Market
  • Scary headlines have not produced bearish price action. He notes the "worst day and month since June 2025" headline for the NASDAQ and S&P 500, but says the S&P 500 is only consolidating in the range it has held since August. In his view, wars in Ukraine and Iran, rising bond yields, weak manufacturing, a rate hike, hot inflation and China's AI bubble popping have all failed to break the uptrend.
  • Money is rotating out of AI tech, not leaving stocks. He cites resilience in finance, health care and other "recession resistant" sectors, and Russell 2000 strength on green days, as evidence of rotation. He calls the pullback in Intel, Google and Meta healthy, though he is watching Intel's market-cap drop as a red flag. He stays focused on recession-resistant names and avoids tech except for short-term trading.
  • Institutional investors see a decent economy, whatever consumers feel. He points to corporate profits still climbing (BEA data) and consumer spending rising steadily despite complaints about cost of living. He guesses the spending comes from boomers and notes credit card delinquencies are led by younger generations, but argues shareholders care about profits, not grocery bills.
  • Midterm gridlock should be bullish this time, he argues. He puts Democrats at roughly 94% to take the House and likely the Senate. He concedes that markets have historically done worse under a Republican president with a Democratic Congress, but predicts gridlock will end "not-normal" policies such as sweeping tariff scares, and that institutional investors will reward that predictability.
  • His Pokémon-card index shows no imminent bear market. He tracks an index of the 1,000 most liquid Pokémon cards as a risk-off asset, expecting a sharp drop there to come two to three months before a stock market drop; it has mostly risen over the past days and year. He calls this a personal project. He says a big meltdown is "in the works" but sees no signals today, and reports the StockTok ETF up nearly 22% versus the S&P 500's 9.5% this year, with ETF 2.0 breaking out.
Stock TokHere Is My Plan in this Crazy Stock Market
  • This post includes paid content that is not available publicly. See the original source.
Stock TokIs This the Warning Sign We’ve Been Waiting For?
  • Intel's collapse is the first real bear-market clue. He has said for weeks that a large-cap, "reputable" stock collapsing could be the tell; Intel, which he calls a $400B+ blue chip, fell by what the audio gives as 24 pre-market. He won't decide on that yet: it could be a dead cat bounce, so he is waiting for how it trades today, with a second update this afternoon.
  • The Binance hack may mark a bottom, as FTX did. Binance was reported hacked for billions (NYT, 29 Oct 2026; in the audio, by North Korean hackers). He notes that FTX's collapse between 2 and 11 November 2022 roughly marked the bottom for crypto and stocks. He labels the parallel as his own speculation, knowable only in hindsight, and calls crypto too full of scammers and hackers to be worth the risk.
  • The S&P 500 is still in a defined bull market. S&P 500 futures are down only slightly and are mostly forming a higher low, so he reads the broad market as intact and the selling as a possible overreaction. He doesn't think the meltdown has started, but wants to see where the market closes Friday before judging next week.
  • Avoid knee-jerk pre-market moves, but set hard cut points. Pre-market action is especially volatile for single names, he says, and reacting to it is often wrong. Still, overexposed holders should trim or cut. He will sell Hinge Health below $111 and Twilio below $176, which roughly cancel each other out, while Xometry, up more than 38%, gives a cushion. Small losses must not become massive ones.
Loss DogThe Great Retirement Sell-Off, GOOGL, AMZN & INTC | 10.29 | One Lucky Dog
synopsis

The hosts read the day as a soft, tech-led market. Alphabet's earnings miss dragged the Nasdaq down 400–550 points while the S&P stayed only a few points off all-time highs and volatility barely moved. Tom Sosnoff's view is that the "velocity of risk" is to the downside: he stays short index futures, and expects any midterm surprise to come on the downside even though he calls the event itself priced in. What they want from the viewer is to keep trading earnings mechanically in small size, stay roughly delta-flat into the election, and skip the stories that sound tradable but aren't: the boomer-retirement "sell-off", 24-hour options, collars.

Open and market read. Google fell about $41–44 against an expected move of about $24–25. Microsoft was a winner: one host's $1 strangle was bought back for 5–10 cents. Google and Boeing are the two losers of the earnings season so far. VIX futures were near $18.55–18.70, and one host says volatility bought ahead of the midterms, the Fed and earnings proved not to be cheap. Sosnoff cites a little over three standard deviations to the downside on Brazil's election. A co-host says that cannot be equated to the US, and that downside skew already prices it. Sosnoff counters that his own worst earnings losses, in Google and Microsoft, were both to the upside. Nasdaq IV rank was 57 against 36 for SPY.

Paper trading. Sosnoff built thinkorswim's Paper Money, which he says was downloaded close to 20 million times. He says it is good for learning a platform but misleading on fills, because trades fill at mid-price, especially in SPX. He says tastytrade never built one because, once commissions went to zero, the support load could not be paid for.

Callers. "Uncomfortable" on a naked put means an underlying carrying too many long deltas for the account. That might be 50–100 deltas or 300–500 depending on the account; Sosnoff's own example is a Google strangle that needs its calls rolled down. Once risk is defined, buying power is irrelevant: Micron at $1,000 and SoFi at $15 are the same trade. On the election, the hosts adjust only by flattening deltas, and Sosnoff expects a non-event. On Google after earnings, a caller who bought shares and sold puts is told that doubles up. One host would instead sell a 1x2 put ratio closer than usual, with the long at 30–35 delta rather than the usual 15–20, for a $3–5 credit. Emails. The wheel is a bullish strategy that exists only because there has been no extended bear market since 2009. The Nasdaq fell 80% from 2000 to 2002–03. One host adjusts iron condors by moving only the short option, taking more buying power, a bigger credit and more one-sided risk. Spreads below the long strike get rolled out a month or have a call side added; the long put is never sold. Options listing on new IPOs has gone from over a month to near-immediate, with Anthropic predicted within 48 hours. Short spreads go at the expected move and long spreads one strike either side of the money. Against a caller who calls crypto a Ponzi scheme, one host holds four or five coins at well under 1% of net worth.

Battista's trades. SpaceX: a December 150/160 call spread plus a short 140 put, with the 115 put bought to cut buying power from $6,500 to $1,500. Nvidia: a mid-November 220/227.5 call spread for $3.60, expiring before November 17 earnings; Sosnoff says it can be filled 30–40 cents better. Robinhood: buy one December 90 put and sell two 85s for $2.26, said to be 85–87% probable and to use $1,400 of buying power. Boeing: a November 175/182.5 call spread for $3.88, a delta play with IV rank at 22.

Discipline. Sosnoff says a customer's study of his roughly 670 trades over a month found him 95% within his own stated mechanics.

Mortgage resets. On 3.1 million ARMs, about 6% of mortgages, resetting 3–4 points higher, one host says it cannot be bullish because the money simply vaporizes. The other says homeowners are A-grade paper. The real threat, in their view, is junk-rated companies refinancing 6–9% debt at 14–17%, which "could take down this market".

Three-name earnings strangles. Selling 16-delta strangles in Alphabet, Amazon and Intel diversifies, but across binary events. The hosts call it the best available short of going directional or sitting out. Trading stock after hours against short premium is ruled out by the Microsoft reversal. Pre-open Google options were $6 wide with no market makers and zero volume, so 24-hour trading is dismissed. Lossdog's beta earnings tool and the One Lucky Dog app, awaiting Apple approval, get product pitches.

Retirement wave. On 16–25 million workers retiring over five years, one host says the same story has run for 30–40 years. Boomers' $30 trillion is 54% of equities, but the top 10% hold two-thirds and need not sell, so roughly $10 trillion trickles out against new younger buyers. Sosnoff says timing makes it untradable: at most, lighten up at record highs.

Benchmarks and collars. Sosnoff says benchmarks matter only when someone else manages your money; self-managed money should be measured against the risk-free rate. A co-host insists that rate is itself a benchmark, and they agree to disagree. Neither host uses collars much. They say a locked-up IPO holding that fell from $250–300 to $110 would have suited one. Otherwise collars give up edge and only buy duration.

Risk and allocation. A caller cites Kevin O'Leary's rule of $5 million in T-bills at 5% ($250,000 a year) before taking risk. Sosnoff says to be all-in through your 20s and 30s. He says he and Scott Sheridan put their first $5 million into thinkorswim, which became a billion-dollar company; O'Leary's rule would have meant quitting. Sheridan agrees on risk when young but says scaling back with age is fine.

  • The market's bigger risk is to the downside. Tom Sosnoff says he is staying short Nasdaq and S&P futures through a 400–500-point Nasdaq drop. He points to a three-standard-deviation downside move on Brazil's election and argues any midterm surprise next week can only hit downside. A co-host says that is just why index skew runs to the downside. Sosnoff still expects a non-event, with VIX futures near 18.55 at the long-term mean, and plans to go in delta-flat.
  • Strangles across several earnings names spread risk but stay binary. On selling 16-delta strangles in Alphabet, Amazon and Intel while staying delta neutral, the hosts call three better than one but still three binary bets. Microsoft was a winner (one host's $1 strangle bought back at 5–10 cents). Google fell about $41 against an expected move of about $24–25, so 16-delta puts there lost. They argue against trading stock after hours against short premium, and call 24-hour options markets untradeable: Google's at-the-money options were $6 wide with no market makers and zero volume.
  • Boomer retirements will trickle out, not produce a sell-off. The prompt was 16–25 million workers (10–15%) retiring over five years. One host's numbers: boomers hold $30 trillion, 54% of equities, but the wealthiest 10% hold two-thirds and need not sell, leaving roughly $10 trillion. Younger buyers keep coming in, so the hosts call it not a tradable event. Sosnoff's only advice is to lighten up a little at record highs.
  • Corporate junk refinancing threatens the market more than ARM resets. One host says the 3.1 million adjustable-rate mortgages (about 6% of mortgages) resetting 3–4 points higher "can't be bullish", comparing it to gas at $2 a gallon more, roughly $1,500–2,500 a year per driver. The other calls homeowners A-grade paper and says the real danger is lower-rated companies refinancing 6–9% debt at 14–17%.
  • Paper trading teaches the platform, not real fills. Sosnoff built thinkorswim's Paper Money, which he says was downloaded close to 20 million times. He says paper trading fills at mid-price, which misleads especially in SPX. He says tastytrade left it out because once commissions went to zero, the support load could not be paid for.
Loss Dog24 Hour Options Trading: After Hours Markets Can’t Deliver #optionstrading #trading #tradingstrategy
  • Extended-hours options markets are untradeable in practice. One host says they checked Google options one to two hours before the open the morning after earnings. At-the-money markets were $5–6 wide (one quoted 45 cents bid at $6), with no market makers and zero volume in Google or Microsoft, despite the exchanges promoting 24-hour trading.
  • Short-premium traders shouldn't trade stock against after-hours earnings moves. Their example is Microsoft: it looked like a big loser for short premium after hours but finished a large winner. Selling 16-delta options across several earnings names is called "the best you can do" short of going directional or sitting out: 16-delta puts lost in Google and Boeing but made money in Robinhood.
Master InvestorThe Two Assets Maggie Fanari Would Hold for 10 Years
  • SpaceX is her public-markets pick for a decade-long hold. Asked by Frost for one asset to hold for the next ten years, Maggie Fanari gives two, choosing SpaceX on the view that it has "a long, long pathway in multiple ways" to win; she doesn't spell out what those paths are.
  • Stripe is her private-markets pick, as a major AI beneficiary. She expects agentic AI to arrive "over the next couple of years" and predicts that both Stripe and SpaceX will ultimately be winners in that space.
Master InvestorCould Anthropic Be Worth $2 Trillion?
  • The guest's firm got into Anthropic at a fraction of today's talk. It invested in the second half of 2025, in the September round, at an initial valuation of $170 billion; Frost calls it "crazy" that the figure was that recent and that low, with an IPO now looking imminent.
  • Anthropic's growth and profitability justify the excitement, in the guest's view. The guest cites revenue growing roughly 10x to 16x, from a base already in the billions, and says the IPO filing shows the company is now cash-flow positive, evidence it can be profitable.
  • Enterprise focus makes Anthropic's pricing power easier to defend. Frost asks whether premium pricing will erode; the guest argues enterprise buying runs on trust. A firm might use an open-source model for routine tasks but will pick the most trusted, most secure provider for sensitive work, and the guest puts Anthropic in that position.
  • Even the "low end" valuation would be an incredible return. The guest cites what people are calling the low end, $1.5 trillion to $2 trillion, against the $170 billion entry. The firm intends to stay a long-term holder, public or private, as long as growth and management stay strong.
Loss DogPrivate Credit Risk: The Bond Market Warning Stocks Ignored #economy #finance #money #bonds
  • A wall of maturing private-equity debt is a structural market risk. Citing a Wall Street Journal report, the host says $300 billion of loans to private-equity-backed companies begin maturing in 2028, software accounts for one-third of the loans due in 2028–29, and about a quarter are rated CCC or lower. The loans were written when rates were much lower.
  • Refinancing at double-digit rates could trigger the next pullback. The host argues borrowers that were paying 4–5% now face 10–13%, a huge strain even assuming they can still raise the money. Nothing announces in advance why a market will break, the host says, just as a recession is recognised only afterwards. This is inference, not a dated forecast.
  • Redemption limits mean investors can be locked in. The host describes a private-credit vehicle that limits redemptions to roughly 1–2% a quarter, so once requests exceed that the window closes and holders cannot get out. In this account, the model only worked while money was cheap and borrowers assumed they could always refinance.
  • The bond market has already flagged this; stocks have not. Some of these borrowers' bonds already trade at 15–16% yields, the host says, while equities ignore the warning. The host contrasts this with the founders' own approach at thinkorswim before the dot-com bubble: working within the capital they had raised rather than spending as if money were unlimited.
Loss DogWin Rate vs. Win Size, ANT, GM & Poor Man’s Covered Calls | 10.28 | One Lucky Dog
synopsis

The hosts read the market as half-recovered and still nervous: the Nasdaq had taken back about half of a 7–8% sell-off, but the VIX sat near 19 and had not contracted with the rally, ahead of a Fed decision they expected to be a non-event. What they wanted from the viewer was discipline rather than a call: keep size small and mechanical, trade on price rather than charts or correlations, and cut size further around binary events. Their one named threat was private credit, which one host argued could be the unannounced trigger for the next pullback.

The open and the question of the day. Asked whether managing at 21 days "protects" against negative gamma, the hosts say it does not; their research shows rolling at 21 days back out to 45–55 days flattens P&L volatility, and buying premium into expiration to exploit gamma is "flipping the cards", unlike a small hedge of 3% or less of premium sold. On whether win rate or win size matters more — a 40% win rate needs winners 1.5 times losers, a 75% rate only a third — both hosts answer that size kills: stay mechanical and never ramp up after a move or double down to catch up.

Viewer questions on mechanics. Re-centring a tested strangle instead of rolling the untested side to a straddle is possible but carries more delta risk; the adjustment is always a debit. A caller is told Meta (IV rank 42) is a better long near 620 than above 700, but to keep puts small given the VIX. For an IRA putting 50% into 45-day iron condors, the hosts call that too heavy, put iron condor success near 65–70% if winners are managed, and guess at a 15% drawdown depending on the speed of the move, still less than holding SPY. CFDs are not permitted for US brokers, at leverage up to 200 to 1; futures-only firms' $500 intraday ES margin buys about 10 points before auto-liquidation, against roughly $6,000 at a standard four-times intraday rate.

The agentic trades. The segment presents the product's AI-generated ideas: an FXI covered call (IV rank 49), Baidu December 70 puts for about $1.83 ahead of earnings on November 16, a BABA 95/90 put spread for $1.64, and a KWEB call debit spread. One host's rule: a spread collecting about a third of its width carries roughly a 65% probability of profit. Sosnoff says he placed all four the day before, and that they are listed on the platform.

Sosnoff's calls. Sosnoff argues traders take directional views because they have opinions, unlike a market maker, and that he does not want to know anyone else's view. A caller's friend's hostility to self-directed trading draws the argument that the pro/retail line has collapsed and advisors will survive mainly as empathetic hand-holders in a contracting business; 11% of the viewer poll used one. Neither host enters closing orders when opening a trade. Asked about Elon Musk, Sosnoff gives personal and political objections, including that Tesla and SpaceX have paid no taxes. A pitch follows for a free trade-sharing app awaiting Apple approval.

GM, earnings and sizing. GM's November 17 move from the NYSE to Nasdaq, making it eligible for the Nasdaq-100, is judged not tradable at a roughly $65 billion market cap. One host holds Google earnings trades until after the Fed. For an SK Hynix put sale using 7% of buying power, the answer is acceptable but borderline: 7–10% is the ceiling, 3–5% in bigger accounts, less for earnings and 0DTE. A caller with $1 million in strangles is told about $50,000 of buying power per underlying, so about five AMD strangles.

Anthropic. A viewer asks how to weigh a public benefit corporation. The host who discloses a pre-IPO stake calls the mission PR: a for-profit with shareholders cannot really subordinate them, and "long-term benefit of humanity" is too loose to bind anyone. The hosts split on the IPO, one willing to take unlimited shares at the IPO price, the other none, expecting a lower close; they bet $100 on a 10% first-day gain, and the viewer poll came back 87% yes.

Private credit. Citing the Wall Street Journal, $300 billion of PE-backed loans start maturing in 2028, a third in software and a quarter CCC or worse. One host argues refinancing at 10–13% after 4–5% strains borrowers already near lows, pointing to CoreWeave bonds at 15–16% and Blue Owl's 1–2% quarterly redemption limits; the other replies the market already knows. Both see equities ignoring what the bond market is saying.

Poor man's covered calls. The closing topic is delta arithmetic: stock is 100 deltas, a covered call about 70, and a 60-delta long call against a 30-delta short about 30. Two such spreads roughly match one covered call for somewhat less capital, at the cost of extrinsic value, no dividend and more management.

  • Position size, not win rate versus win size, decides retail outcomes. Posed with the arithmetic that a 40% win rate needs winners 1.5 times losers and a 75% rate needs only a third, the hosts answer "size kills": stay mechanical, never ramp up after a move or double down to catch up. One adds that strike distance changes the risk profile of a spread.
  • Keep each position a small, fixed slice of the account. The hosts put 7–10% of account value as the absolute ceiling, 3–5% for bigger accounts, and less for earnings and 0DTE trades because they are binary. For a $1 million strangle account, about $50,000 buying power per underlying (range $30,000–70,000); 50% of an IRA in iron condors is called too heavy.
  • A poor man's covered call is fewer deltas, not equivalent exposure. Long stock is 100 deltas; stock plus a short 30-delta call is about 70; a long 60-delta call against the same short call is about 30. Two poor man's covered calls roughly equal one covered call at somewhat lower capital, with more management, extrinsic value paid and no dividend.
  • Anthropic's public-benefit language is called PR, not shareholder protection. One host, disclosing a pre-IPO stake, argues a for-profit company with shareholders cannot really put "the long-term benefit of humanity" first and the phrase is too loose to constrain anything. The hosts then bet $100 on whether the stock trades 10% above its IPO price on day one.
  • Private-credit refinancing is the risk the stock market is ignoring. Citing the Wall Street Journal, $300 billion of PE-backed loans start maturing in 2028, a third in software, a quarter CCC or worse. One host argues refinancing at 10–13% versus 4–5% could trip a pullback, pointing to CoreWeave bonds near 15–16% and redemption gates of 1–2% a quarter.
Stock Tok25 Stocks. 8 Survivors. 1 Clear Winner.
  • This post includes paid content that is not available publicly. See the original source.
Master InvestorPicking Private Market Winners: SpaceX, Anthropic & Stripe | Maggie Fanari
synopsis

Maggie Fanari, CEO of J. Rothschild Capital Management, which runs the 4.5 billion RIT Capital Partners trust, argues that a three-pillar portfolio built on concentrated private technology stakes can compound in the mid-teens. She points to SpaceX and Anthropic as proof, and says the trust's roughly 20% discount to NAV undervalues those holdings.

Mandate and record. RIT, Jacob Rothschild's former family office listed in 1988, aims for equity-like returns while protecting capital in down markets, and has returned about 10.7% a year since inception. Frost notes a weak decade (up 75% against 200% for the all-country index). Fanari blames 2022, and says that since she joined in 2024 she has rebuilt the portfolio top-down with fewer, larger positions. It is up 27% over one year and 44% over two.

Public markets. She sees earnings resilience and reasonable S&P multiples. With about 60% of constituents below their 200-day average, she finds opportunity in US small and mid-cap industrials. A 10-year yield above 5% does not worry her while nominal GDP growth stays above it. Japan is a corporate-governance play at single-digit multiples. Europe is a deglobalization trade, entered via defence stocks after Trump's election.

Private winners. Private assets are about a third of the portfolio. SpaceX, her first RIT investment, was bought near $200 billion and has returned more than four times; she will trim the oversized stake. Anthropic was bought at $170 billion in September 2025. She calls its enterprise focus defensible because sensitive work demands the most trusted model. Stripe (about $160 billion) and Cognition (bought at $24–25 billion, now about $48 billion) carry the AI theme into agent infrastructure and agentic AI. Direct AI exposure is near 10%, or about 20% including funds. Uncorrelated pillar. This pillar, 22–25% of the portfolio, is braced for structural volatility. Liquid credit has been cut, macro funds were up about 30% by June, and gold sits at the bottom of its 4–8% band. She warns that refinancing cheap 2020–21 debt could unsettle credit next year.

Discount and ethos. She calls the 20% discount unjustified and cyclical; RIT last traded at a premium around 2018–19. She cites down-market capture in the mid-30s against more than 70% upside capture. Her parting advice is to keep things simple: structure cannot turn a bad company into a good one.

  • Early, concentrated private bets on exceptional founders have paid off. Fanari says RIT started building its SpaceX stake around a $200 billion valuation and has made more than four times its money since the IPO (she first invested in 2019 at $35 billion while at Ontario Teachers'); because the position is now outsized, she expects to trim it. RIT entered Anthropic in the September 2025 round at $170 billion, plus follow-on rounds; she cites revenue growing 10x–16x and the S-1 showing the company cash-flow positive, and says that even the $1.5–2 trillion IPO valuations people describe as "the low end" would be an incredible return.
  • The AI trade is moving from models to infrastructure to agents. She frames Anthropic as frontier models, Stripe (bought earlier this year at about $160 billion) as the infrastructure for AI agents to transact, and Cognition (bought in May at $24–25 billion, last raised in September at about $48 billion) as agentic AI doing tasks end to end without a human co-pilot. Direct AI investments are close to 10% of the portfolio, or "20% or so" counting the funds book. She keeps AI exposure in the privates book deliberately for diversification, and says AI is a multi-year theme where you have to be selective.
  • Narrow public-market breadth is a buying opportunity, not a warning. About 60% of S&P 500 constituents trade below their 200-day average while money crowds into a few names, so she sees value in US small and mid-cap industrials, run through a specialist manager. She is not worried by a 10-year yield a little over 5% as long as earnings grow and nominal GDP growth stays well above it, and expects rates to stay higher for longer because of the US–Iran war, oil and AI capex demand for capital. Elsewhere: Japan is a decade-long corporate-governance thesis at single-digit multiples, China is about 5% of the portfolio, and Europe exposure was built through defence stocks on a deglobalization ("multipolar world") view.
  • Expect continued volatility, so RIT has cut its correlated hedges. The uncorrelated pillar, usually 22–25% of the portfolio, has had its liquid public credit reduced because it correlates with equities; macro hedge funds were the big winners, up roughly 30% by end-June. She flags refinancing of debt borrowed cheaply in 2020–21 as a possible source of credit-market volatility next year. Gold sits near 4%, the bottom of its 4–8% range, because of its run to about $5,500 and the rising-rate backdrop; she expects it to stabilize around current levels.
  • The trust's discount to NAV is unjustified, in her view. The discount stood at roughly 20% at end-September, which she says puts a material discount on holdings like Stripe, Anthropic and Databricks and on access to closed managers such as Josh Kushner's Thrive. She pitches RIT as capturing mid-30s percent of down markets and more than 70% of upside, and expects 10–12% NAV growth plus a 1.5–1.8% dividend and some discount narrowing to compound in the mid-teens. Over 10 years the trust returned 75% against 200% for the all-country world index, which she puts down to 2022; it is up 27% over one year and 44% over two.
Loss DogTrading Around a Core Position: Easier or Harder? #trading #core #finance #markets #trader #money
  • Scalping around a core position is among the hardest things in trading. One host makes this case, citing the other's own earlier remark about VIX: when already short volatility, selling more is hard because that trader is usually "behind the eight ball" on the existing position. The same host frames the core position as the best thing to have when winning and the most disappointing when losing.
  • Trading from a flat book is harder than trading around holdings. The other host disagrees: with nothing on they feel disengaged, they always carry positions, and they find adding to an existing portfolio easier than starting from a blank slate. They also say they actually like scalping around a core, and conclude that everything about holding one is "pretty positive".
  • Being flat can distort how a trader reacts to big moves. One host offers a hypothetical: after a 2% overnight market move with no positions on, a trader would find 100 positions to put on, then the market falls 2% and those same 100 would be very hard to find. The captions do not make clear which way the example cuts beyond that.
Loss DogAnthropic's IPO, EWZ, Global Stocks & Core Positions | 10.27 | One Lucky Dog
synopsis

The hosts read the market as complacent and range-bound until the midterms. VIX at 19 is their pivot: below it, a sustained rally; above it, a harder tape. They want the viewer selling December premium into that volatility across the events before November 6. Losing positions should be handled mechanically and contrarian, not by hoping. They would pass on Anthropic's IPO at a $2 trillion valuation, or take only a token allotment.

Open and viewer questions. E-mini S&Ps were up about 24, inside a roughly 26-point expected move, and bonds sat near 107 after rising from 101–102. Selling 35–50 DTE naked puts into earnings, at 18 to 30 delta, is called more attractive when bullish, because earnings inflate volatility. An existing position depends on where the stock sits before the report. Deep in-the-money tech put credit spreads should be exited around two times the credit, the research cited says. A host still bullish could add a call spread to make an iron condor, recovering 70–80 cents, or about 8–10% of the credit. One host says this is why spreads beat naked options in a sell-off.

Small accounts, Bloom Energy, SPX. Both reject buying options in small accounts. Use more buying power instead: 75–100% in a small account, against 30% being significant in a $1 million one. A December Bloom Energy put sold for $14 and now $37.50 should stay in December, at 52 days, rather than roll to January's wider markets. Selling a December call into the call skew cuts the doubled delta. A caller with two short 180/190 spreads was told to cover one. SPX versus SPY 0DTE means 10 times the size, cash settlement, Section 1256 60/40 tax treatment and wider absolute markets, so work the mid. A plan to sell a strangle into earnings, take assignment, then sell covered calls is dismissed as resting on assumptions.

Volatility landscape. This segment is a pitch for a new Lost Dog feature. It is described as 21 million end-of-day IV observations on about 10,000 stocks and ETFs, up to 20 years deep, across seven maturities. The argument is that 30-day IV alone cannot describe the volatility environment. An earnings tool is promised for next week.

Scott's trades. Google and Amazon double-ratio spreads for October 30 earnings: $1.78 credit with an $18 expected move, IVR 69, POP 85; and 96 cents with a $17.50 move, IVR 59, POP 88. A Netflix December jade lizard at its 52-week low, short the 60 put and 70/72 call spread for $2, POP 58. A November bond strangle, short the 111.5 call and 103.5 put for 34 ticks ($531), against a ~$254 expected move; IVR 55, POP 76.

EWZ and contrarianism. With Tom Sosnoff joined, the question was how to tell an oversold bounce from a correction after EWZ fell more than 25% on Lula's runoff win. You cannot, except in hindsight. One host bought in the 30–31 range and sold above 33: a great play the day before, untouchable after a 15% rally. The rule offered is to be consistently contrarian, in an underlying you think is cheap that also has liquidity. Two illiquid earnings trades from the night before could not be exited. Few country ETFs qualify: EWZ, EEM, FXI.

Anthropic. The S-1 proposes ticker ANT, a $60–85 range at $1.5–2 trillion, a $100 billion raise and a pre-Thanksgiving listing. The hosts would take somewhere from zero to ten shares, citing roughly 40 times revenue and heavy losses. One host calls the price advantageous for retail but would cut the order by 75%, remembering an $8-a-share loss on 5,000 shares of a 1980s IPO. A team study of 9,300 IPOs since 1980 found a 19% average first-day return. Buyers at the first-day close trailed the market by 21% over three years. SpaceX peaked 67% above its 135 offer and now trades below its opening. Callers mostly would wait for a drop and sell puts.

Event cluster and VIX. The hosts rarely trade VIX options now. Fading a VIX spike is hard because premium sellers are already short volatility. Both call the Fed (94% no change) and the big-tech earnings near non-events, and see the midterms as the risk. One would use a jade lizard in QQQ or SPY; the other would sell both sides of December after the vote. CBOE data cited: realized volatility was higher in midterm years than the year before about 80% of the time.

Core positions. One host calls scalping around a core position among the hardest things in trading. Sosnoff argues that a blank slate is harder, because it forces you to be right twice, on entry and exit. The counter is that a blank slate is uncorrelated to the market. His Boeing November 165 puts show the cost. He passed on a small-winner buyback, and with the stock down about $16 they are near $5. He plans to sell calls against them.

  • The hosts would mostly skip Anthropic's IPO and wait. Anthropic's S-1 proposes the ticker ANT, a $60–85 range at a $1.5–2 trillion valuation, a $100 billion raise and a pre-Thanksgiving listing. One host says the price is attractive for retail; the others commit zero to ten shares, citing about 40 times revenue with no profits. Callers mostly say they would wait for a post-IPO drop and sell puts into the high vol.
  • IPOs pay on day one and lag afterward. A study the team ran on 9,300 IPOs since 1980 found an average 19% first-day return. Buyers at the first-day close trailed the market by 21% over the next three years, and later buyers of IPOs up at least 10% on day one trailed by 4% to 21%. One host recalls losing $8 a share on 5,000 shares of a $12 IPO in the 1980s.
  • A company's home country is not a real diversifier. The question cites country-to-global correlation rising from 0.46 in 1920 to 0.88, and 40% of US company revenue coming from abroad. The hosts call it one connected global market: they trade only US-listed names and ADRs, and say owning European or Asian companies does not make a portfolio diversified.
  • You cannot tell an oversold bounce from a correction. EWZ fell more than 25% after Lula's runoff win. One host bought it in the 30–31 range and sold above 33, but would not touch it after a 15% rebound. The argument is for a consistent contrarian rule: something cheap, plus liquidity, which few country ETFs beyond EWZ, EEM and FXI have.
  • Sell December premium across the coming event cluster. With VIX near 19, they call volatility more attractive than at 15–16. The Fed, Alphabet, Microsoft and Amazon earnings, the midterms and jobs all land before November 6. Both hosts call the Fed (priced 94% for no change) and the earnings near non-events and see the midterms as the real risk. One prefers a jade lizard in QQQ or SPY; the other would sell both sides after the vote.
Loss DogBond Market Sell Off: Irrational Crash or Return to Normal #market #bonds #selling #economy #finance
  • The bond market rarely behaves irrationally, unlike stocks. The opening argument is that money flows where it must within bonds, so the bond market "tells a real story"; even a flight to quality during a stock crash is described as a rotation that levels out, not irrationality.
  • The hosts split on whether the recent bond sell-off was irrational. One calls the drop from 110 to 101 — almost 9%, called insane for a market that size — the most irrational in years and a buying opportunity unlikely to recur for five to ten years. The other answers that the irrational period was 3% long rates with zero short rates; this is a return to normal, overdone given the snap-back, and probably not finished.
Loss DogThe VIX Won’t Bounce, YieldMax ETFs, Earnings, Fed Week & Iron Condors| 10.26 | One Lucky Dog
synopsis

The hosts read the market as heavy: a weak Nasdaq, most stocks selling off after strong earnings, and a VIX stuck near 19 despite a downdraft, mega-cap reports and next month's midterms. What they want the viewer to do is not outguess it: trust the market's pricing, keep position size constant, and sell premium at a volatility level they call a sweet spot. They do much of that in futures options and in bonds, where a sharp rally has, in their view, made this week's Fed meeting a non-event.

The open. The tape is described as mid-range and choppy, with oil around $101 and the 30-year bond back above 107. One host notes that Meta, Micron and SpaceX spiked after beating numbers and then got hammered, Tesla being the exception. Host trades mentioned include scalped Nasdaq futures, pre-market buys of EWZ after Brazil's election (about $31, roughly 25% lower) and of Robinhood ahead of earnings, and short puts in gold and silver.

Callers on mechanics. On when to abandon a tested strangle, the hosts cite their research: the optimal stop is about two times the credit received, but it beats doing nothing only marginally, so the exit is a comfort call. IV is called mean-reverting where price is not, with the VIX's long-run mean at 17–18. They treat IVR above 30 as a sell zone, below 20 as a cover zone, and 20–30 as no man's land. On China's roughly 20% fall, one host puts its correlation with US stocks at 0.3–0.4 now, against 0.5–0.7 two decades ago. It is still read as a red flag that a 20% US sell-off is possible.

Volatility and the mailbag. The question of the day carries the episode's main argument. One host has personally cut size, but advises keeping it consistent because low-volatility stretches this year kept marching to new highs; a sports-betting line is the analogy for trusting market pricing. In quick answers, $1.5 trillion of margin debt is at most a yellow flag. Oil, bonds, gold and the S&P are called uncorrelated and traded as independent positions. Open interest, unusual volume and Level II quotes are said to carry no usable signal. Expected move is explained as implied volatility converted to dollars, with 19% IV roughly a 1% daily move.

Tom's trades of the week. All four sell premium, mostly in futures, with buying power quoted at viewers' request. December gold 3,500 puts at about 14.50 carry an 8 delta, a 93% probability of profit (POP) and $9,500 of buying power. SLV December 45 puts at $1.34, presented as the one-tenth-size equivalent, carry a 28 delta, 73% POP and $800. A 51-day crude 83.5/132.5 strangle collects about $3,500 at 16 delta a side, 72–76% POP, on $6,600. A 39-day euro 1.10/1.145 strangle, chosen for an IVR of 67, collects about $625 on $1,300. The co-host warns that futures buying power can double or triple near expiration; the reply is that buying power, not notional, is the real risk measure.

Scott Sheridan joins: income funds. A covered call that gets called away is a "high-class problem", since it is a long-delta trade. On NVDY, TSLY and MSTY, the 57% and 65% payouts are called partly returned capital, with tax complications. One host says the 1.09% fee looks small next to likely slippage on over-the-counter synthetics; the funds are fully bullish, with capped upside and full downside. A long argument follows over whether losing 51% instead of 59% is a success. One host calls benchmarking nonsense; the other says it gives context, as IVR does for implied volatility.

Bonds and the Fed. The bond market, put at roughly $70 trillion, is called far bigger than the Fed, which is cast as catastrophe insurance. One host calls the slide from 110 to 101 the most irrational bond move in years and a rare buying opportunity. The other calls it normalisation after years of 3% long rates and zero short rates, and expects more. Later the hosts put hike odds near zero against prediction markets' 94% hold, citing the 10-year's fall from almost 5.35% to 4.96%. A hike would not be bullish, they say, and stocks care about neither rates nor midterms. One host is short puts and calls in bonds and notes.

Rolling, value and LEAPS. Rolling out in time is said to cut delta by 20–30%. Twenty-one days is a guideline, not a rule; roll into strength rather than weakness. Value investing is treated as passive investing, fine for part of a portfolio, and LEAPS as more capital-efficient upfront but costlier than stock.

Earnings and iron condors. Trading Google, Microsoft and Amazon through an index mutes both sides without removing outlier risk, so the hosts prefer single names, sized small, against expected moves of about 6–8%. Iron condors are framed as a bet that volatility will not show up; the hosts use only wide ones for capital efficiency and avoid tight four-leg structures around binary events as hard to adjust. The close is a plain product and podcast plug.

  • Cheap-looking volatility is no reason to change position size. Asked whether a VIX near 19, despite a Nasdaq-led downdraft, earnings and midterms, means holding off, the hosts say trust the market's pricing and keep size constant. One admits to having cut positions anyway, but both call 19–20 a sweet spot for selling premium, still above the 17–18 long-run mean.
  • YieldMax-style payouts are partly your own capital returned. NVDY and TSLY's 57% and 65% payouts run on synthetic stock plus short weekly calls: capped upside, full downside, a 1.09% NVDY fee and likely over-the-counter slippage. The hosts split on whether TSLY losing 11% against Tesla's 17% is a defence; one rejects benchmarking outright and suggests writing covered calls yourself.
  • Trading earnings through an index mutes the payoff without removing tail risk. The hosts prefer the individual names, staying small and choosing weeklies or monthlies by IV rank. Quoted expected moves for Google, Microsoft and Amazon are about 6–8%, roughly $31 on Microsoft at $520, which one host thinks looks low. They note 84% of early reporters beat versus a 78% five-year average, yet most stocks sold off afterward.
  • The bond rally has taken a Fed hike off the table. Against prediction markets' 94% chance of a hold, the hosts put hike odds near zero after bonds rallied to about 107 and the 10-year fell from almost 5.35% to 4.96%. They say a surprise hike would not be bullish, and favour short premium in bonds and notes.
  • Tight iron condors are a bet that volatility stays away. The hosts say they rarely trade them: four-legged positions are hard to adjust after a 70-handle move, a poor fit for the Fed or other binary events. They use only wide ones, effectively synthetic strangles, for capital efficiency in SPX and expensive stocks, and call tight condors mainly an engagement tool for small accounts.
Loss DogYou think your portfolio is diversified? Think again! #markets #trading #trader #predictions
  • Holding 20 stocks may amount to one concentrated bet. That is the pitch for Lossdog's new "portfolio dependency review" under the market map tab. The company says its AI agents read the 10-K filings for up to 20 holdings, look for shared suppliers, customers and hidden concentrations, and produce a 25–40 page report in about 10 minutes. No sample output or result is shown.
  • The brokerage you use shows positions, not what they cost you. Lossdog's answer is its own brokerage link through SnapTrade. It says this adds long-term projections, opportunity-cost figures, portfolio grades, covered-call opportunities and alerts on high-risk positions, with holdings syncing automatically. Users also earn the platform's "treats" reward points for connecting. The whole clip is a product feature rundown, with no editorial segment.
  • Lossdog is running a market-prediction contest for November. Users call the S&P 500, oil, gold and presidential approval ratings in the prediction tab and climb a leaderboard for treats. The "one week left" deadline is promotional framing, and the contest is an engagement mechanic rather than a forecast by the hosts.
Stock TokStop Letting the Headlines and Crowd Fool You About the Stock Market
  • The market has shrugged off every bearish headline. He lists DeepSeek's AI release, the early-2026 US-Israel strike on Iran (four all-time highs since), on-off tariffs, CAPE valuation warnings peaking in June, hedge-fund tech de-risking and Burry's months of 1987 Black Monday warnings. Pullbacks have shrunk each time, -21%, then -10%, then -4.5%, with all-time highs followed by sideways action.
  • The blow-off top is still intact; meltdown shorting comes later. His historical ranges: melt-ups last one to three years, blow-off tops one to two years, meltdowns about one year. He says setups still favor the blow-off run and that shorting the meltdown may become the topic in "a few months, a year or so", but not under today's conditions. This is his forecast.
  • The angry, bearish crowd is a contrarian signal. He identifies it as rookie investors who piled into hype names like Bloom Energy and CoreWeave after the pattern day trading rule went away in June, now badly down; news readers trusting CNBC or Fox Business; and bots posting inverse comments. He says the market is grinding out the weakest players.
  • Recession-resistant assets remain his focus. Health care draws no excitement while attention stays on the AI bubble; public faith in silver and copper is near zero, though silver has bounced and he wants more from it. The S&P 500 and Russell 2000 have pulled back without a crash, and he expects those calling the market "cooked" to chase local peaks.
  • His screener keeps surfacing winners, including an odd one. The StockTok Screener has repeatedly flagged Hasbro, which he says rose nearly 10% in less than a week; he calls it a weird name for the screener to find.
Loss DogIV Rank Options Strategy: What Meta, IBM & Tesla Revealed #optionstrading #optionstrategy #trading
  • Exiting when IV rank drops below a threshold saved money. The host says they closed a gold strangle once gold's IV rank fell to 16, the rule being to take positions off under 16. Gold then dropped about $80 (roughly $8 in GLD), a move the host says is bad for strangle sellers.
  • IV rank predicted which earnings strangles would make the most. The host sold strangles into IBM, Meta and Tesla earnings, sized by IV rank: most in Meta (about 65), fewer in IBM (49), fewest in Tesla (28). All three won, and the profits came in the same order. A December Tesla trade forecast at 50 cents made 46. The host's argument is that there is no edge in trading, only mechanics to optimize, and that the mechanics say trade bigger when IV rank is higher.
Loss DogMarket Timing, TSLA-SpaceX Merger, DRIPs & Mortgages | 10.22 | One Lucky Dog
synopsis

The hosts read the day as a real risk-off break. By the end of the show, S&P futures were down about 110 handles (around 1.5%), the Nasdaq about 2.5%, and the VIX near 19.4. Oil sat near $99–100 and bonds rallied from 101 to 107. Tom Sosnoff was short, said he was "not covering one lot", and wouldn't buy the dip. He said the tape scared him after the action the previous Friday. Tony Battista called it an opportunity. Their shared advice was mechanical: with December SPY implied volatility around 18 against a usual 14.5 or so, they called this the best time in about 60 days to sell 45-day premium. They also favored selling puts in oversold names, cutting delta instead of trying to call turns, and staying away from any merger or buyback "arb".

The open. The market recap shows the previous day's earnings rally reversed. Meta was down about $46 against a $40 expected move, after trading up $25–30 after hours, and IBM was well outside its range. A dog-pound question on a jade lizard under pressure gets one answer: move the short call spread down two or three strikes to cut delta about 50%. That turns the position into a synthetic strangle at no extra buying power.

Market timing. The question of the day cites a 20-year S&P 500 study. Fully invested earned about 11% a year, while missing the 10 best days cut that to about 6%, and seven of those days came within two weeks of the 10 worst. Both hosts call perfect timing impossible. They separate the passive IRA holder from the trader, who "times" constantly by adjusting size. Selling covered calls is offered as the IRA version of cutting delta.

Viewer emails. On theta, the hosts' example: an option sold for $1 with 20 days left decays maybe $2–3 a day early on and perhaps $20 over the last three days. That acceleration is why they exit at 21 days. One host says naked calls are allowed in IRAs at tastytrade, having pushed for it around 2018, though short stock is not, since IRAs cannot borrow shares. For a 1%-a-month target on a $1 million IRA, the other host suggests committing 25–35% of capital to roughly 30-delta short puts. They prefer fewer, larger contracts ("size kills"), about 8–10. On earnings next week, neither predicts reactions, and both prefer moving positions from November to December. On tax-loss harvesting, the hosts say they never trade for taxes. The answer then turns into a pitch for the platform's correlation tool for finding a substitute stock.

Trades and the IV rank recap. Tony's trades: a November QQQ iron condor (IV rank about 65), a $1-debit Netflix unbalanced butterfly, a small call diagonal, and a JPMorgan call spread (IV rank 12) that didn't fill. Tom says the previous night's IBM, Meta and Tesla strangles, sized by IV rank, all won in IV-rank order. He also says gold was closed when its IV rank fell to 16, before an $80 drop.

Callers. A caller trading SPX 0DTE broken-wing butterflies is encouraged. The hosts call that structure close to tailor-made for zero-day trading and mainly a theta play. On selling /ES puts every 50 or so days, the hosts back it as a law-of-large-numbers bet. They say the market has been up about 58–59% of the time over 15 years, against a historical 53/47. Tom then gives his sizing: daily theta near 0.2% of the account, about $200 per $100,000. Delta runs at 150–300 SPY beta-weighted deltas per $100,000. He says $1,000 a day of theta at that size signals too much gamma. Both roll the untested side, Tom by discomfort and Tony at a 15–20 delta skew.

Tesla–SpaceX. Each company has formed a committee to explore a merger. One host thinks it probably won't happen, the other that it probably will. They agree there is no arb or pairs trade before or after terms. They expect a review at least as long as the roughly nine-month Paramount–Warner Bros. Discovery deal.

Mortgages and retirement accounts. A move from 7.4% to 7.65% costs about $19,440 over 30 years on a $400,000 home. Neither host has ever let rates stop a purchase, and both reject the comparison with passive S&P investing. That leads to one host's claim that young people should not open retirement accounts and should invest in themselves instead. A 53-year-old caller extends this to entrepreneurship at any age.

Buybacks and DRIPs. On the record $1.55 trillion in expected buybacks, both say there is no trade. One would fade a rally on an announcement, since companies need not follow through. The segment opens with a pitch for an upcoming "One Lucky Dog" ideas app, with early access offered first to show viewers. On DRIPs, both hosts say reinvesting makes sense for investors who bought for the dividend and is irrelevant for growth stocks. Neither uses one.

Rapid fire. The move is beyond 1.5 standard deviations. One host has sold Cerebras 100 puts after the stock fell from about $350 to under $110. Neither would buy Apple, or short the broad market except on a rally. VIX futures are up 6%, the biggest one-day move in a while.

  • Nobody can time the market, but traders can scale exposure. The show cites a 20-year S&P 500 study: about 11% a year fully invested against about 6% for someone who missed only the 10 best days, seven of which fell within two weeks of the 10 worst. The hosts call dodging the crashes impossible. Their alternative is cutting delta instead of going all in or all out, for example by selling covered calls in an IRA when the market looks frothy.
  • Size the book by a daily theta target and a delta band. Tom Sosnoff aims for daily theta near 0.2% of the account, about $200 a day on $100,000, ranging from roughly $100 to $300 depending on volatility. Delta runs about 150–300 SPY beta-weighted deltas per $100,000, usually 100–200, or about 1:1 to 2:1 notional. He says $1,000 a day of theta on $100,000 means too much gamma risk. When a side is tested, both hosts roll the untested side. Tom acts on discomfort, while Tony Battista acts mechanically at a 15–20 delta skew.
  • A possible merger of two sister companies offers no trade. Tesla and SpaceX have formed special committees, and Elon Musk called the deal a good idea but uncertain. The hosts split on whether it happens, but agree there is no arb or pairs trade before or after terms. They expect regulatory and shareholder review to take at least as long as the roughly nine-month Paramount–Warner Bros. Discovery deal. One host would buy SpaceX, not Tesla, but only as a contrarian move.
  • Small mortgage-rate moves shouldn't decide whether to buy a home. The figures cited: a quarter-point rise from 7.4% to 7.65% costs about $19,440 over 30 years on a $400,000 home with 20% down. Neither host has ever let a rate change stop a purchase. They also reject comparing loan interest with money in a passive S&P fund. From there one host repeats an argument that young people should not open retirement accounts and should bet on themselves. A caller says the same applies at 53 or 70.
  • Buyback announcements are not a tradeable signal. S&P 500 companies are estimated to buy back a record $1.55 trillion of stock this year. One host calls the announcements close to fake, since companies don't have to follow through, and would fade a rally on one. Both say retail traders have no trade there, bullish or bearish.
Loss DogShould Investors Sell Winners or Hold Stocks Longer? #investor #investing #stocks #market #finance
  • One host argues taking gains is always correct, even early. Responding to a cited study of 10,000 brokerage accounts in which investors realized about 15% of paper gains but only 10% of paper losses, this host says you should take far more gains than losses because you need to be right more often than wrong, and has no issue with cutting gains early and letting losers run.
  • The other host says that view blends trading with investing. This host frames the question as being about a stock portfolio, not someone selling an iron condor or a naked put. The first host concedes finding the two hard to distinguish; the reply is that for most people the difference is large.
  • For investors, the second host says it depends on environment and horizon. With markets at all-time highs, this host sees no problem taking something off the table, crediting Warren Buffett for selling into strength and, above all, for longevity. Someone in their early 20s building a 40-year portfolio, the host argues, should let positions run.
Loss DogSell Your Losers First? ALSO, Chips, TSLA, Gold & The Wheel | 10.21 | One Lucky Dog
synopsis

The hosts read the market as heavy and split: the Nasdaq had sold off more than 2,000 points while the E-mini S&Ps held a roughly 100-point range, chips were breaking, and volatility was beginning to lift into a heavy earnings day. Their prescription throughout is to trade rather than invest through it: sell premium where IV rank is high, shorten duration when it is and extend it when it is not, trust the options market's expected move, and treat dip-buying in broken stocks and gold-as-insurance with suspicion. Tom Sosnoff and Scott host the first half; Tony Battista replaces Tom for the second.

Earnings fills and the open. Tom reports selling mostly puts in Netflix around $65 into earnings, where the expected move was about $6 and the stock moved about $3, and says volatility is "borderline": high enough to sell earnings premium, not high enough to go big. He says his large short is the Nasdaq.

Winners or losers first. A study of 10,000 brokerage accounts found investors realized about 15% of paper gains and 10% of paper losses. Both hosts are comfortable taking gains at all-time highs. The real split is elsewhere: one host says contributing to a retirement account every year was among his biggest regrets and that a 22- or 25-year-old buying stocks for 40 years is "bogling yourself into oblivion"; the other defends set-and-forget saving and calls the hosts' own path of starting businesses highly unusual advice to give anyone.

Viewer mechanics. Pre-market options listings are more liquidity, not a sign of a top. Overbought without charts is a felt range from watching all day; Tom says none of roughly 150 traders in the SPX pit he visited was looking at a chart. A 30-delta covered call leaves the equivalent of 70 long shares, and naked puts beat it in Netflix. Iron condors take short strikes at the expected move and come off at a fixed day count or profit target; spreads go on and come off as spreads, except that a broken-wing butterfly's short vertical can be bought back to hold a free butterfly. Rolling at 21 DTE and closing below IV rank 20 are consistency rules: Tom closed a gold futures strangle, adjusted about 50 times over six weeks, when IV rank hit 16.

Product segment. A pure product pitch for a free AI "portfolio dependency review" of up to 20 uploaded holdings, with a scarcity line about future caps.

Tom's earnings trades. Tom ties duration to IV rank. IBM, IV rank 49, near $243: October 210 puts for $0.74, about twice the $16 expected move, and a November 200/290 strangle for $2.32. Tesla, IV rank only 28: out to December, expected move about $50, a small "engagement trade" he puts at about a 90% chance of making 50 to 60 cents. Meta, IV rank 65, near $707: a November strangle around 560/870 for about $4.50. Uber, near its 52-week low around $68 with IV rank near 80: a bullish jade lizard, November 65 puts plus the 72.5/75 call spread, for about $2.46–2.50. Tony later mocks selling a 50-cent put on a $250 stock.

Chips. The semiconductor index's longest losing streak since 2008 erased about $2 trillion yet left it up nearly 60% on the year. One host calls it a contrarian trade on a one-week-to-45-day horizon; the other, who has predicted the end of buy-the-dip, warns that stocks bought down 10–20% now sit 50% lower. Both dismiss a JP Morgan SpaceX target raised to $500 as unactionable. Cited against the selloff: TSMC third-quarter profit up about 69%; for it, CoreWeave down more than 15% in October on debt worries. Lam Research and Texas Instruments report after the close, each priced for about an 8% move.

Gold. At about $4,100, gold is down almost a third from about $5,781, while the 10-year yields about 5% and real yields reached about 2.6% on September 21, a 20-year high. Neither host is a gold bug; they expect a range, trade /GC rather than GLD, and Scott argues gold will not help if "all hell breaks loose." The dog pound poll ran 30% gold bugs. A caller defends physical metal as convertible when paper fails; Tony grants gold has recently outperformed stocks.

Callers. One caller warns that 0DTE puts on index futures are cash-settled, so there is no position left to sell calls against. For a Marvell strangle carrying about 28 short deltas at a 62% probability of profit, Tony would roll the put up to about 10 to 15 short deltas and act before December earnings. A caller back to break-even on SpaceX puts rolled to January is told to close them and go shorter: "don't keep something because you have it."

Tesla and the wheel. Tesla's implied move of about 6%, against a roughly 9% historical earnings average, is in the hosts' view correct; they would never buy a straddle, would sell a strangle near twice the expected move, and see upside as muted. Realized moves beat implied in 11 of 16 reports. On the wheel, one host prefers rolling in-the-money puts to taking assignment and its overnight risk; the other accepts it on beaten-up, high-IV-rank stocks but not at all-time highs.

  • The hosts split on long-horizon stock buying, not on taking profits. Prompted by a study of 10,000 brokerage accounts in which investors realized about 15% of paper gains but only 10% of paper losses, one host calls retirement-account contributions among his biggest regrets and buying stocks to hold for 40 years the worst advice possible. The other defends small automatic saving and says the hosts' business-founding path is highly unusual.
  • Chips are a trading opportunity, not a reliable dip to buy. The semiconductor index had its longest losing streak since 2008, erasing about $2 trillion while still up nearly 60% for the year. One host calls it a contrarian trade; the other warns that buyers at down 10–20% now sit on 50% losses, and both dismiss a JP Morgan SpaceX target raised to $500 as unactionable.
  • Tesla's cheap implied move should be sold, never bought. Options priced about a 6% earnings move against a roughly 9% ten-year average; the hosts say the options market is right and they would never buy a straddle, preferring a strangle near twice the expected move. They concede realized moves beat implied in 11 of 16 reports, 69%.
  • Gold is a range-bound trading vehicle, not a crisis hedge. With gold near $4,100, down from about $5,781, a 10-year yield near 5% and real yields around 2.6%, the hosts expect a range and prefer /GC futures options over GLD's wide markets. A caller pushes back that physical metal is convertible when paper fails.
  • The wheel works in principle but wastes buying power in practice. One host prefers rolling an in-the-money short put to taking assignment, which adds overnight directional risk; the other accepts the wheel on beaten-up, high-IVR stocks but not at all-time highs. Their example: a 47 put on a $50 stock for $0.54 earns about 1% on $4,700 a month.
Loss DogOptions Trading: Why Hope Is a Losing Strategy #optionstrading #optionstrategy #trading #stocks
  • Closing one profitable leg turns a neutral trade directional. In the case discussed, a short call and short put position where the call has lost most of its value, a host argues that buying back the call at 50–80% profit (58% in the example) and keeping the put leaves the trader fully bullish on what began as a neutral or mildly directional trade. Their rule: put it on as a spread, take it off as a spread.
  • Manage actively rather than waiting for 21 days to expiration. The hosts reject treating 21 DTE as the first decision point and say they have never advocated "set it and forget it". Depending on how far the put has moved, a host would either close the whole trade or, if expecting further downside, consider rolling the call down.
  • Keep a position only if you would open it today. The test offered: with the short call gone, ask whether you would sell that same put at that strike with no position on. The other host answers "probably not", and the conclusion is to close it, since you should hold something because you want it, not because you have it.
Loss DogDo Rates Matter to Options? Plus NFLX, Midterms & SKEW | 10.20 | One Lucky Dog
synopsis

The hosts read the day as a "tale of two tapes": the Russell and Dow rallying hard while the Nasdaq could not hold a rally or get through about 29,900. To them that confirms the snapback rallies are failing and that weakness is concentrated in the big tech names. Their advice to the viewer is to keep selling premium mechanically, trade small, adjust early, and treat size as the only real protection against a crash. Sosnoff ends short S&P and Nasdaq futures and long the Russell, and calls the session "day one of the down move".

Open and the Nasdaq head fake. Scott says he and Sosnoff both sold Nasdaq futures before Monday's high, which came in a 300-point run without a downtick, and he calls it a head fake. Oil above $101 is offered as the morning's drag. The day's Nasdaq range of 300–320 points had already beaten the expected move of about 200–225.

Do rates matter to options? The hosts explain that higher rates lift calls relative to puts through the cost of carrying a synthetic stock position, with the biggest effect on long-dated options. Both then dismiss it for their own trading. Rates are one of five pricing inputs, but at 3% the effect is pennies, and they would only trade it if rates headed toward 8–10%. Asked by a caller about playing a 25–50 basis point move in yields through options, Scott says he isn't smart enough to try, and that volatility swamps it.

Viewer mail. The hosts reject hedging a short put with short stock over a weekend: if you're scared, close the trade or turn it into a defined-risk spread, because short stock "puts gasoline on a potential fire" if the stock jumps. A nervous long-side trader is told to cut size or roll down the untested side of a strangle to halve delta. On idle cash, they say sellers of equity and index options can hold T-bills or T-bill ETFs and get back roughly 92–96% of their value as buying power. That doesn't work for futures, crypto, or buying stock. Both prefer short spreads to buying calls or puts. Scott defends his call that bond futures fall below 100, which he puts at about a 6% 30-year yield. He cites round-number psychology and inflation: core CPI strips out food and energy, and gas $2 higher costs a 20-gallon driver about $2,000 a year. A viewer who closed the call side of strangles and kept the puts "in hopes" is told hope is not a strategy. The test they offer: if you had no position, would you sell that put today?

Scott's trades. He describes four trades. A Netflix Oct-23 65/64 put ratio for $0.88 credit (IV rank 73, probability of profit 81%). An IBM 220/215 put ratio for $0.65 (IVR 49, 90%). A SpaceX Nov-20 double ratio for $3.00, short the 175 call and 115 put synthetically, played as a range trade; he got the earnings date wrong on air, and earnings were that day. And a bond-futures strangle selling the 108 call and 100 put for 50 ticks ($781), at IVR 64 and 72%. Sosnoff later says he would neither short bonds here nor do the SpaceX double ratio.

Sosnoff's book and adjusting. He reports 35 trades by mid-morning, including covering and re-selling S&P and Nasdaq futures, Netflix Oct 60 puts at $0.43, a Netflix Nov 60/85 strangle and a SpaceX Nov 110/195 strangle near $1.60. A caller with short puts down 200–400% asks when to roll. One host gets uncomfortable when delta roughly doubles, from about 20 to 35–40. Sosnoff calls himself a more aggressive adjuster than either co-host and says he goes through every position daily. Aggressive adjusting, he argues, is chasing price early instead of late, which is why most traders buy tops.

Midterms and the market structure. With prediction markets at 91% for a Democratic House and 63% for both chambers, the hosts see nothing to trade. They would sell any volatility pumped in beforehand and fade the first move on the night, likening it to a Fed decision. Cboe is said to be adding pre- and post-market options trading on about 20 top names. The hosts split on whether spreads there will be a nickel to a dime wide or much wider.

Scaling, quarterbacks and earnings timing. Asked how to deploy a seven-figure account in small trades, Sosnoff suggests more undefined-risk trades, some stock, and wider strikes, then closes on a pitch for the Lossdog platform. On Jalen Hurts' injury, the hosts argue a quarterback matters far more than a CEO. About a third of teams can't lose theirs, they say, against perhaps 1% of companies. On earnings, they say their research found no reliably best time to sell premium beforehand, and buying premium early for a volatility pop fails. One host says getting direction right matters most; another says starting from high implied volatility does.

Black swans. One host suggests short-dated puts costing about 3–5% of the premium sold. Another rejects Taleb-style tail buying: it only stops you capitulating at the bottom, and you never know when to sell. He says staying under 50–60% of buying power carried him through 2000, 2008, the pandemic and the tariff selloff. A recently blown-up tech fund is his evidence that over-leverage, not bad ideas, is what kills traders.

  • Interest rates are irrelevant to short-term option traders. Both opening hosts say they have never thought about rates when day-trading zero-day, weekly or even 45-day options: at 3% "you're splitting up pennies", and only a move toward 8–10% would make rates worth playing in long-dated options. Volatility, not rates, is the input they say moves option prices.
  • Nasdaq weakness suggests buy-the-dip is ending. Scott repeats his call that 2026 ends buy-the-dip, noting that Monday's Nasdaq rally failed to hold while the Russell rose about 2% and the Dow about 700. He prefers shorts in Nasdaq over the S&P. Sosnoff says he is short S&P and Nasdaq futures and long Russell, and calls it "day one of the down move".
  • Timing doesn't matter for earnings trades, but starting from high IV does. The hosts say their own research found no reliably best time to sell premium before earnings, and warn against buying premium a week or two early for a volatility pop. Scott's Netflix trade sells 2 Oct-23 64 puts against 1 long 65 put for $0.88, priced at 81% probability of profit. Sosnoff's sells the Oct 60 puts at $0.43.
  • The midterms offer nothing to trade beyond selling volatility. With prediction markets at 91% for Democrats taking the House and 63% for both chambers, the hosts see no surprise left to bet on. They liken it to a Fed decision. Their only plays are selling any volatility pumped in beforehand and fading the first move on the night.
  • Small position size is the only real black-swan hedge. One host suggests short-dated puts costing under 5% (closer to 3%) of the premium sold. Another dismisses Taleb-style tail buying, since you can't know when to cash it in. He says that staying under 50–60% of buying power got him through every crash he traded, from 2000 to the pandemic, without a blowout. The SKEW reading from the intro (168.6 versus a 123 average) never comes up again.
Stock TokLets Pretend The Stock Market Is Crashing...
  • The market is consolidating, not crashing. He points to the S&P 500 sitting above its 200-day moving average in a well-defined uptrend, with most stocks oscillating in range; he expects the boredom to shake out retail investors, who will return only after the recovery. He says he is still betting on a blow-off top to the upside.
  • A split Congress has historically meant weaker, not crashing, returns. Citing Fidelity research, he says a Republican president with a Republican Congress averaged 14.5% a year, while a Republican president with a divided Congress was the worst combination at 7.3%. If Democrats win in November, history suggests softer returns, not an imminent crash — with the caveat that past results do not predict future performance.
  • If structure does break, stop buying and don't fight trends. He calls Rocket Lab, CoreWeave, SoFi and Netflix some of the most talked-about names in clear downtrends. He says influencers who arrived after the pattern day trader rule ended in June are bottom-picking and dollar-cost averaging; they bought Netflix above $110, and it now sits at $69. Wait for strength before buying.
  • Cut small losses before they become big ones. Control risk by starting smaller, reducing position size, or using stops. His test for each holding: has the trade been invalidated, or has price action broken structure? If yes, trim or cut; if no, sit back and be patient.
Loss DogHow to Generate $10,000 Monthly Income From $1M #finance #trading #incomestreams #investing
  • The hosts call 1% a month reasonable for a premium seller. Answering a viewer asking how to draw $10,000 a month from a $1 million account, they note that is 12% annualized, which one host puts at only about two and a half times the risk-free rate; one host's own goal is 1–2% a month.
  • Target slightly more than 0.1% of the account in daily theta. One host sizes it at $100–150 of daily theta decay per $100,000. The arithmetic offered: $1,000 a day of theta (0.1%) is about $360,000 a year, of which they expect to keep roughly 25%, or about $90,000 — short of $120,000, so they would run somewhat higher, taking more risk when implied volatility is higher.
Loss DogMake Lossdog yours, then put Tom's strategies to the test! #fintech #strategy #finance #trading
  • This is a product-update promo for two new Lossdog features. The first is a customizable left-hand navigation menu, where users can show, hide and rearrange tabs such as portfolio and career. The piece is feature marketing with no argument beyond the pitch.
  • Sosnoff credits three option strategies with most of his returns. The video says naked short puts, credit spreads and covered calls account for nearly two-thirds of his returns over 45 years and more than a million trades — his claim, not shown. A new interactive sandbox under the Learn tab is said to show how risk/reward and estimated probability of profit change as inputs are adjusted, with no real trades placed.
Loss DogStop-Losses, NFLX & META Earnings, AI Risk & ETF Overlap | 10.19 | One Lucky Dog
synopsis

The hosts read Friday's sell-off as a real shift. S&P futures fell 110 handles intraday, the NASDAQ was nearly 7% off its highs and the VIX traded over 20. They did not trust Monday's bounce, and Sosnoff sold S&P and NASDAQ futures into it. What they wanted from the viewer was premium selling, not hedging: sell puts in beaten-down names into an earnings season whose implied moves they call fairly priced, skip stop orders, and treat AI concentration and ETF overlap as reasons to trim, not to flee.

The open. Sosnoff waited 27–30 S&P handles and about 250 NASDAQ handles into Sunday night's rally before shorting, and stayed slightly short both. On whether he closes strangles before Meta earnings, he says he never closes while IVR stays high. Instead he recenters: buys the wings, resets delta-neutral, widens strikes and may cut contracts. His Meta strangle is two to three times the expected move at about $700. He covered corn and soybean strangles once IVR fell to around 6 and 20.

Stop losses. The question of the day cites MIT's Andrew Lo and Kathryn Kaminsky: stops can only lower expected return when prices are random, and help only when prices trend. Both hosts say their tastytrade research agreed. Sosnoff says he kept stops out of thinkorswim at first and has never used one in about 45 years. Whoever uses one should pair it with a profit limit, so a fill is as likely to be a winner as a loser.

Viewer emails. For a losing strangle near earnings, Tony would roll to the next month, widen strikes and cut delta; Sosnoff stays in if IVR stays high. Between GLD and GC, physical commodities go to the deeper futures market, though GC is ten times GLD's size, and SLV is more liquid than silver futures. For index options they default to SPY over ES. On scalping direction, both call themselves contrarians: they lean against a one-standard-deviation move. A $1 million account earning $10,000 a month is 12% a year, which they call reasonable for a premium seller: about $100–150 of daily theta per $100,000, keeping 25–50% of it.

Trades of the week. Sosnoff's list: sell SLV November 49 puts for about $1 at IVR 8, a purely directional trade. Sell the SPY November 785/790 call spread for $1.55, risking $3.45 at roughly 67% probability of profit, fading the bounce. Sell SoFi November 14 puts near $0.80 ahead of earnings on the 27th. Sell a $100-wide CrowdStrike strangle (187.5/287.5) for about $4.60 at IVR 58, with the stock at 228 after nearing 300. On wide markets, one host warns not to trust the mid price but to start at your own price and walk the order.

Black Monday, 39 years on. Sosnoff recalls flying home from Vegas short a few deltas and fearing a gap up, then watching the pit shrink from about 400 traders to 30 or 40. Rumors had clearing firms and a major bank failing, and calls sold that morning as a hedge rose $10–20 on volatility. Asked how to protect against black swans, both say little can be done beyond staying small and defining risk. They note circuit breakers and deeper liquidity now.

AI concentration. With 45 AI names supplying 39% of the S&P's 14% gain, Scott Sheridan and Sosnoff expect at most a rotation, not a full give-back. Their reasoning is that these are trillion-dollar firms, unlike dot-com. Both say the market has been "crap" without AI and advise trimming rather than exiting, citing their own pre-IPO holding that fell from the mid-300s to $125 and can't yet be sold.

ETF overlap and the Russell spread. Both call multiple broad ETFs a false sense of security: 94% of QQQ is in the S&P, and three Vanguard funds are ~30% Nvidia, Apple and Microsoft. The overlap does make them tradeable against each other. On a long-Russell, short-NASDAQ spread, 3:1 leans long Russell and 2:1 leans short NASDAQ; about 2.5:1, or 5:2 in micro contracts, is roughly flat. One host likes the trade now; the other never buys the Russell. They dismiss fractional shares in a $5,000–10,000 account in favor of credit spreads, and European indices for lack of option liquidity.

Earnings season. Both say Netflix, Meta, Tesla and IBM implied moves are priced "perfectly", though Sosnoff will trade them if volatility stays bid. Netflix sits near $70, down from 107 two reports ago, at IVR 73 with a 9–10% expected move. He would sell the 65 puts and not the 75 calls. He is short puts in IBM, around 234. Studies cited: bought straddles won 22% of the time, and implied beat realized in 67% of 70 events, but Microsoft priced 3% and fell 10%. His rant at sports books, which take 10% vig and stop quoting during play, makes the case for always-open two-sided listed markets.

Calendars. Both prefer strangles to at-the-money calendars for earnings and call double calendars too hard. One host would trade calendars only directionally and in indexes; the other prefers a diagonal with a short vertical embedded to add delta.

Bonds and the Fed. Scott expects bonds to break below 100. Sosnoff, now short premium after covering his long, buys at 103–104 and bets $20 on 110 before 102. They agree the Fed has one more quarter-point hike, and that at 107 none would be needed. The show closes with a sign-up pitch for the Lossdog community and its coming "One Lucky Dog" product.

  • Stop-loss orders lower expected returns and mostly sell bottoms. The hosts cite MIT's Andrew Lo and Kathryn Kaminsky (stops can only cut expected return if prices are random, helping only when they trend) and say their own tastytrade-era research matched it. Sosnoff says he has not used a stop in about 45 years; anyone who does should pair it with a profit limit. A viewer poll ran 77% no stops.
  • Earnings implied moves are fairly priced, not systematically rich or cheap. Both hosts say the option market prices the move correctly. They cite a study of ~9,000 earnings straddles (Feb 2021–Feb 2026): buying them nine days out won 22% of the time, with mean and median losses of 18% and 26%. In another, of 70 events, the implied move exceeded the realized one 67% of the time, but Microsoft priced 3% and moved −10%.
  • Owning several broad ETFs gives a false sense of diversification. About 94% of QQQ's weight sits in the S&P 500, and an equal mix of three Vanguard funds is ~30% Nvidia, Apple and Microsoft. The hosts say retirement savers don't know this. They see the upside in using the overlap as a spread, short NASDAQ and long Russell, at roughly 2.5 Russell contracts per NASDAQ.
  • AI stocks may pull back, but a full retracement isn't expected. Through October 11, 45 AI-exposed companies made up 39% of the S&P's 14% gain, then had their worst week since June. The hosts say the rest of the market has been "crap" without AI. Unlike dot-com these are trillion-dollar firms, so nervous holders should trim rather than bet on a crash. Their own pre-IPO AI holding fell from the mid-300s to $125.
  • The hosts split on whether bonds have bottomed. With bonds at 105 after rallying from 101 to 106, Scott expects a break below 100. Sosnoff calls that "on crack": he is a buyer at 103–104 (selling puts first) and offers $20 that bonds hit 110 before 102. They agree the Fed has one more quarter-point hike, a half point if bonds fall to 100.
Stock TokInsider Buying & Selling Isn’t What You Think
  • Individual insider buying and selling is a useless signal. His example is Nike: insiders are reported buying, as they were on September 18, yet the stock remains in a clearly defined downtrend. An executive may simply be a bad trader, or selling for personal reasons such as a house or a new job, and he says mainstream coverage of these trades is wrong on direction more often than right.
  • Closely held share percentage is the more useful indicator. All else equal, he picks the stock with more closely held shares, because a demand surge then meets a supply shortage. This was one of several reasons he preferred Tesla over AMD: 28.5% of Tesla's shares are closely held versus 0.51% for AMD. Nike's closely held shares, he says, were largely dumped long ago.
  • The market is consolidating, not breaking; stay long until proven wrong. He reads last week's fear as producing no crashes in major blue chips and continued higher lows. His speculation is that this week's events will not be very impactful: earnings from SpaceX and Netflix (October 20) and Meta and Tesla (October 21), Capital One (Tuesday) and American Express (Friday) delinquency updates, and September housing starts and pending home sales (Tuesday).
Loss DogYour Biggest Risk Is a Stock You Don’t Own
  • Standard sector labels miss how companies actually resemble each other. This is a product launch for Lossdog's Market Map, and the presenter's argument is the pitch: tech/healthcare/energy boxes suit "a simpler economy", and a software firm can resemble a drug company more than its own sector. The proposed answer is the platform's map, which is said to cluster firms by a transformer-based embedding model reading 4,219 filings — a described method, not a demonstrated result.
  • Your hidden risk is a hub company your holdings depend on. The video claims bubble size on the map shows connection count, so large bubbles mark companies at the center of an ecosystem — "when they sneeze, a lot of other companies catch a cold." No example company, dependency or loss is shown; the remedy offered is importing a connected brokerage portfolio to find that exposure.
  • The feature is sold as replacing years of filing-reading. The presenter puts reading the 4,219 filings at almost 5 years (2 minutes a page, 8 hours a day, 7 days a week) and claims over 1 million knowledge points sit behind it. Listed tools include a per-company panel (customers, reported relationships, drivers, risks), a printable relationship report, an auto-generated analyst-style report and AI chat over one company or the whole map.
Stock TokThe Stock Market Is Still Bullish... But I’m Watching This Weird Warning Sign
  • The bull market is intact despite weeks of headline-driven chop. Since mid-August the S&P 500 has repeatedly dropped a few percent on news, then reversed to new local highs, building higher lows and higher highs in a volatility contraction pattern (VCP). The author sees no blue-chip crash and no break of structure, and dismisses insider activity and Middle East conflict as irrelevant to investing.
  • Buying dips is a bad habit; hold built positions instead. The author argues dip-buying gets rewarded a few times, which reinforces it, and then crushes the buyer when a real bear market arrives. Their stated approach is to have already built positions and wait for the next leg up rather than add on pullbacks.
  • Pokemon cards may turn down before equities, as NFTs did. The hypothesis rests on the 2021 precedent: risk-on NFTs (CryptoPunks peaking October 2021, Axie Infinity around November) crashed roughly three months before traditional markets. The author's "Charizard Index" tracks 1,000 popular, liquid cards, deliberately excluding the rarest, illiquid ones as outliers. This is their own speculation, not an established indicator.
  • Card buyers look like late-stage bubble investors, not early ones. People buying at absurd prices for retirement or kids' college funds mirror NFT and $100k+ Bitcoin buyers who believed they were early. The author calls the market "clearly in bubble territory," contrasting newcomers with Gary Haase, who began collecting in 1999 and holds a Guinness-recorded $10M collection.
  • The index has not broken, so no bear signal yet. It wobbled over the past month but resumed its bull trend, which the author reads as pointing to continuation in stocks. The trigger they are watching for is a steep single-week collapse breaking structure, with news of scalpers and collectors panicking, implying equities follow lower in roughly 2–3 months.
Master InvestorWhy High Valuations are Dangerous - A Capital Cycle Analysis of Nike
  • High valuations and profits blind management to their own weaknesses. The guest, who is not named in the clip, argues that valuation and profitability in themselves shape how a company's people behave. The example given is Nike: very high valuation and profitability bred a corporate culture "totally detached from the customer."
  • Nike's headquarters showed the detachment that leads to poor decisions. The guest describes visiting the Portland, Oregon HQ about five years ago and finding "a playground for adult children," with staff playing basketball. They tie that culture to running a business priced at 25 times earnings with very high returns, and argue this is what leads to poor decisions.
  • The guest's firm is skeptical of high valuations by design. In the guest's view, a high valuation does damage in two ways. Capital cycle theory says it attracts competition, and the people inside the company also "drink their own Kool-Aid" and make mistakes on capital allocation and pricing. The conclusion is that investors have to be very careful buying into high valuations.
Loss DogRisk Arbitrage: Why You Shouldn’t Chase the Last $2 #trading #markettrends #stocks #finance #trader
  • Once a takeover is announced, sell the whole position immediately. Answering a viewer already long a target stock, the hosts say to take the win rather than hold to collect the remaining spread, because the deal can break: funding falls through, the buyer walks after reviewing the books, and the stock drops below its pre-announcement price. They point to that day's tape (Nasdaq down 525, S&P down 46) as an example of how fast conditions turn.
  • A deal stock is worth its market price, not the offer. Their example: with a $50 takeover price and the stock at $48, the stock is worth $48, since even an 80–90% chance of completion leaves the $2 as a risk premium the hosts argue is not worth chasing for an ordinary holder.
  • Risk arbitrage belongs to specialists, and amateurs blow up trying it. One host says they have lost friends in the business who blew out thinking it was easy, and that every deal they have played was sized small and was among the most uncomfortable positions they have held. The host compares waiting out the last few dollars to sitting through the final 20 minutes of a 0DTE strangle.
Loss DogDCA, Data Centers, Hot CPI vs. Record Stocks & Risk Reversals | 10.15 | One Lucky Dog
synopsis

The hosts read the day as a short-term washout in an overstretched Nasdaq. September's 3.7% CPI had sent the 10-year to about 5.3% before it eased to 5.05%, and the Nasdaq fell roughly 5.5% in six or seven sessions while bonds rallied. Tom Sosnoff's long-bonds / short-Nasdaq trade paid off and he covered most of it. His view is that the selloff is overdone short term but not finished, and that any rally in the next couple of days should be sold. He and Tony Battista agree on the lesson: conviction only works if the position is sized to sit through the pain.

The open: the bond trade. Sosnoff says he made about 40 trades overnight. He sold bonds from about 104½ to over 105 and covered S&P futures down 27–32 and Nasdaq futures down 200–400, because he won't be short into expiration Thursday. Battista notes he first sat through about three handles of pain. They list Micron down about $50, AMD down $32 and Nvidia down $7 at $215, and they call Apple and Netflix reverse indicators. A plug follows for the new One Lucky Dog platform, due in under two weeks, which sign-ups at Lost Dog will see first.

Dollar-cost averaging. The hosts cite Vanguard's finding that a lump sum beat a three-month phase-in about two-thirds of the time. They say their own 15 or 16 years of think-tank research agreed, and they credit positive drift and how hard timing is. On trades, one host argues that splitting a 10-lot leaves you annoyed whichever way the market moves. When a viewer says Sosnoff eases in too, he concedes he adds on down moves, buying Robin Hood at 101 and again near 95, but calls that opportunism, not DCA.

Viewer questions. One viewer is short 10-delta puts in Micron, Seagate and SanDisk. Battista says the three are so correlated they are one big position. If the broker is forcing hedges, he would have switched to a long call spread, and he doubts that blindly selling 10-delta Nasdaq puts still works. His strangles run 16–22 delta a side, about a 60–72% probability of profit, and he takes 25–50% of the maximum. On an all-cash takeover the advice is to sell everything: $48 against a $50 deal is worth $48, and the last $2 belongs to arbitrageurs. One host's niece made 12.5% with a money manager while the S&P rose about 20.5%. The hosts' point is that passive money should be benchmarked, while active traders should aim at a multiple of the risk-free rate. One host says no rate would stop him trading.

Battista's trades. All four trades are losing today. They are diagonals in Oracle, QQQ and Nvidia, plus an SPX broken-wing butterfly. The Oracle diagonal sells October 30 options at 67% implied volatility against Novembers at 61%, with the stock near 131, down from a 350 peak. The butterfly buys the 7300 put, sells two 7275s and buys a 7225, for a $1.80 credit and a probability of profit above 95%. Its long strike sits near 15 delta, about a 30% touch chance, and it uses under $3,000 of buying power. He will hold it, because defined risk is the stop.

Moneyball and liquidity. Scott Sheridan joins with a test for any position: would you open it here? He then compares front offices with traders. A 2013 study found top NFL draft picks overvalued, with surplus value peaking around the late first and early second rounds. At the 2026 MLB deadline, 47 of 70 trades came on the final day as asking prices fell, which he likens to bids and offers converging. A 2022 University of Michigan paper found free-agent pay tracked run contribution both before and after Moneyball. The moral drawn is that listed markets are the most liquid there are, and that a forced trade marks an earlier mistake. On portfolio margin the hosts split: Battista goes up to 50% when volatility is high, while Sheridan calls 50% too high and 35% right.

AI spending. Sheridan argues that railroads benefited everyone, whereas the AI buildout asks towns to take data centers on trust. Spending is 3.6% of a $32 trillion-plus GDP, about 50% above the railroad peak. Companies wanting backing should offer something like property-tax cuts, he says, and universal basic income from for-profit firms is fantasy. He cites Meta's Hyperion vehicle: about $27 billion of debt on nearly $30 billion of assets, with one analyst saying a 10% cash-flow drop erases the equity. Battista is pro-AI with some environmental checks, and would rather the US lead than its enemies.

Bonds versus stocks. On whether yields cap the rally, the hosts admit they don't know. They note the S&P has fallen about half as much as the Nasdaq, after the Russell fell first. The advice turns to size: Sheridan says retail traders trade too big and should start with micro futures, a hundredth of the old S&P contract. When volatility is high at 21 days, the hosts roll positions into the back month.

Risk reversals. The hosts call selling an out-of-the-money put to buy a call "the stupid trade," a doubled-up directional bet. In their example the stock is at $100 with 60 days to go: sell the 95 put for $3 and buy the 105 call for $2. That keeps $1 between the strikes, breaks even at 94, opens around 70 deltas and needs margin. Whether a spread acts like a synthetic short depends on its width relative to the share price.

  • Lump-sum investing beats easing in, and scaling into trades backfires psychologically. The hosts cite Vanguard's finding that investing at once beat spreading over three months about two-thirds of the time, and say their own think-tank research matched it, citing positive drift and how hard timing is. Pressed by a viewer, Sosnoff concedes he does add on down moves, buying Robin Hood at 101 and more near 95, but says that is not dollar-cost averaging.
  • Conviction only pays if the position is sized to survive. Sosnoff's long bonds / short Nasdaq trade hurt for weeks, then paid in days: bonds ran from about 102 to 106 after a hot CPI, and the Nasdaq fell roughly 5.5% in six or seven sessions. He covered his short S&P and Nasdaq futures overnight because he won't stay short into expiration Thursday. His forecast is that the selloff is short-term overdone, but any rally should be sold.
  • Take the money on an all-cash takeover; leave the spread to arbitrageurs. The hosts say a stock bid $48 against a $50 deal price is worth $48, because the $2 premium pays for deal-break risk, and say they have seen friends blow out on risk arbitrage. Scott Sheridan adds the general test: if you would not open the position at this price, why are you holding it?
  • AI buildout asks communities to bear costs without sharing upside. Scott frames the spending as 3.6% of a $32 trillion-plus GDP, roughly 50% above the railroad peak, and cites Meta's Hyperion vehicle: about $27 billion of debt against nearly $30 billion of assets, a coverage ratio of about 1.15, with one analyst saying a 10% cash-flow drop wipes out the equity. Tony Battista wants some environmental checks but would rather the US than its enemies lead.
  • A risk reversal is a doubled-up directional bet, not free upside. In the worked example, with the stock at $100 and 60 days to go, you sell the 95 put for $3 and buy the 105 call for $2. That keeps $1 between the strikes, loses dollar-for-dollar below a 94 breakeven, and opens at roughly 70 deltas. The hosts call it "the stupid trade" and warn that the short put requires margin.
Master InvestorWhy I'm Investing in Japan - Django Davidson
  • Shrinking invested capital is the return lever most companies avoid. Davidson frames return on capital as profits over invested capital: most firms chase the numerator with new products and growth, while cutting the denominator means laying off staff, closing factories and exiting countries, which carries heavy social friction.
  • Japan is running that denominator cut economy-wide, and it has far to go. Davidson describes a country-level capital cycle with broad cultural buy-in to unwinding overcapitalized balance sheets — cross-holdings, idle cash, duplicate head offices, unused plant — through buybacks at a discount and sales of non-core assets. He reports corporate Japan's returns on capital have been rising for several years and, in his view, the trend has "a long way to run," which is his case for investing there.
Loss DogWhy Bumble Could Go Private to Make a Comeback #stockmarket #equity #trading #privateequity #finance
  • A stock this far down rarely recovers in public. The hosts say Bumble IPO'd in 2021 and is down about 95% from there, and argue the chance of getting a stock back up from 5% of its top is "slim to none". The buyout price they settle on, after some back-and-forth over the figure, is about $1.3 billion; they add that the founder expected to stay on but is not wanted.
  • Going private lets owners rework a company out of view. One host's case is that a private company can change its model, raise capital and restructure without explaining each move in quarterly reports to investors; the other agrees and calls this the best of several reasons, framing it as flexibility for owners who still believe in the product.
  • The hosts predict a relaunched Bumble within a couple of years. This is their guess, not a reported plan: either a reworked version of the app, or a merger with another dating site sold as a combined package.
  • Being public puts a company under a microscope. Drawing on having taken two companies public, the hosts warn founders to be careful what they wish for: listing brings share liquidity but a very different operating world, and they say they often discussed taking their own companies private.
Loss DogCopying Buffett’s 13F, AI Debt, Retail Froth & ZEBRAs | 10.14 | One Lucky Dog
synopsis

The hosts read the day as a market rolling over. S&P futures slid through the session to about -59 and the Nasdaq to about -335, silver fell roughly 5.5%, and bonds rallied off their lows even as stocks sold off. One host is short the Nasdaq and long bonds. Another expects a 10–15% pullback, calls it healthy, and is running about 40% of normal position size. What they want from viewers is smaller size and flexibility, not new conviction. They treat the AI build-out's growing debt load as the likeliest unseen trigger.

Copying Buffett. The question came from Berkshire's second-quarter filings: $20 billion of net buying, ending 14 straight quarters of net selling, with $365 billion in cash and T-bills. One host argues that copying any famous investor's 13F means buying at prices the pros have already moved past, since the filings arrive six weeks late. The other replies that the copying is not the point. A filing is useful because it puts a stock, such as Alphabet, on your radar. This turns into a pitch for the hosts' upcoming One Lucky Dog platform, with early invitations offered to Lossdog signups.

Viewer calls and questions. A caller selling at-the-money puts says their income rose from $2,000 a month to an expected $20,000, about 140% a year. Both hosts call it risk taken in a favourable market and not an edge. They warn that a sell-off brings high implied volatility and gamma, and tell the caller to keep size small. Across several questions the hosts repeat that implied volatility rank, not the VIX, sets their mechanics. Their example is bonds and stocks with similar implied volatility, where bonds carry nearly double the IV rank, so they would rather sell premium in bonds. They also argue that analyst price targets cluster at the 16-delta call because analysts work backward from the market makers' expected move, not the other way round. On Bumble's take-private by Ithaca Holdings, after a 95% fall from its 2021 IPO, they say a crushed company is easier to rework out of public view and predict a relaunch. For a retiree whose concentrated positions are 35–40% of the portfolio, the advice is simply to pay the capital gains. One host suggests a collar; the other dislikes it.

Trades of the week. These are presented as picks from Lossdog's "agentic" trade pool:

  • a naked Nov 103 call in micro crude for about $2.20 on $1,000 of buying power;
  • a Meta iron condor at 575/1020, $100 wide, about three times the ~$80 expected move ahead of 10/21 earnings, costing $766 of buying power for a $234 maximum profit;
  • an IWM 262/295 skewed strangle for $3.30;
  • a one-to-one long M2K, short MES pairs trade, already up 13 handles.

A viewer poll favoured the Meta trade at 48%.

Retail froth. The Citadel Securities figures put retail dollar demand about 25% above the 2021 high, July net buying at 3.2x average, and a record $2.6 trillion of S&P call notional on one May day. A Cboe figure has retail at over 80% of 0DTE volume on its Magnificent 10 index, and OCC volume is up 14.5% year to date. One host reads all this as engagement and liquidity, not a top signal. In their account the 2021 meme episode was too concentrated and temporary, while today's activity is broad. The hosts dismiss Wells Fargo's contrarian sell signal, since the market has only risen since it fired in May.

FICO and credit locks. FICO fell about 25% after mortgage lenders were opened to VantageScore 4.0. One host thinks the roughly $15 saving on a $100–120 credit pull hardly matters. The real gain, in their view, is that VantageScore counts rent history. That leads to a public-service plea to lock credit at Equifax, TransUnion and Experian.

Private-credit gates. The hosts defend funds that cap withdrawals at around 2% a quarter, with 5% caps described as the norm. Their point is that investors knew the money was illiquid when they put it in.

AI debt. This is the segment the hosts frame as most serious. The figures they cite:

  • hyperscaler spreads widened from about 50bp to 80bp;
  • Oracle's 5-year CDS hit about 203bp, an 18-year high, after S&P cut its rating to BBB-;
  • CCC spreads reached about 12%, the highest since 2012;
  • the five largest hyperscalers issued $121 billion of bonds last year, against a $28 billion/year average for 2020–24;
  • cover ratios fell from nearly 5x to below 2x;
  • 78 of 91 hyperscaler bonds issued in 2026 trade at higher yields than they were issued at.

They also cite the IMF's October 13 outlook: a sharp drop in AI investment would cut global GDP by 1% by 2028, and US GDP by 2%. "The bond market doesn't miss," one host says. Neither host calls a top, but both would rather hold Treasuries. They argue that the market has been lifted by AI and that one stumbling AI name could take the rest with it.

The zebra. In the worked example, two in-the-money 93 calls bought against one at-the-money 100 call sold cost $1,371 for about 98 deltas, against $10,000 for the shares. One host stresses the catch. Between 93 and 100 the position loses $2 for every $1 the stock falls, so it is down $671 at 96.50 against $350 on stock, and its maximum loss of $1,371 compares with $700 on shares at 93. Even so, they end up preferring it for capital efficiency. The show closes with a plug for the platform.

  • Copying star investors means buying what the pros already moved past. One host takes this view of 13F copying, noting that the filings arrive six weeks late. The other argues that a filing's value is that it puts a stock on your radar, and uses this to pitch the hosts' upcoming One Lucky Dog platform as "endless ideas". The prompt was Berkshire's $20 billion net buying, which ended 14 straight quarters of net selling.
  • Record retail options activity reflects engagement, not a market top. One host says this even while personally believing the market is near a top. The data: Citadel Securities retail dollar demand about 25% above the 2021 high, July net buying 3.2x average, a record $2.6 trillion of S&P call notional in one May day, and OCC volume up 14.5% year to date. The hosts note that Wells Fargo's contrarian sell signal, given in May, has been followed only by gains.
  • Widening AI-debt spreads are a bond-market warning worth heeding. "The bond market doesn't miss," one host says, though the hosts do not call a top. The figures: hyperscaler spreads moved from about 50bp to 80bp, Oracle's 5-year CDS reached ~203bp (an 18-year high), and the five largest hyperscalers issued $121B of bonds against a $28B/year 2020–24 average. They also cite 78 of 91 2026 hyperscaler bonds trading above their issue yields. Both hosts prefer Treasuries.
  • A significant pullback looks likely, so positions should be smaller. One host says a 10–15% decline would not surprise them and would be healthy, and is running about 40% of normal size. Their reasoning is that the market has been lifted by AI, so a stumble in one AI name could spread to all of them. They point to Micron falling about $130 from its earnings level.
  • A zebra mimics stock cheaply but loses faster in modest declines. In the worked example with the stock at $100, you buy two 93 calls at $9.45 and sell one 100 call at $5.19, a $1,371 debit for about 98 deltas versus $10,000 for the shares. Between 93 and 100 it loses $2 per $1 the stock falls: down $671 at 96.50 versus $350 for the shares, with a maximum loss of $1,371 versus $700 at 93. One host still prefers it for capital efficiency.
Stock TokThe Stock Market Doesn’t Need Your Constant Attention
  • Constant market news-checking damages portfolios more than it helps. He argues that chasing news, Reddit and influencer takes breeds over-analysis that shakes investors out of positions that would have paid off later. He says creators posting daily updates are mostly chasing clicks, and that he will post only when an update is actually warranted.
  • The S&P 500 is consolidating in a bullish structure, not breaking down. He reads it as a volatility contraction pattern still making higher lows within the same range as last week, which he says points to an upside move, though no breakout has happened yet. Silver has made a higher high and no lower low since his July update, so he sees nothing to change there.
  • Small pullbacks are not grounds for panic. He says -1% or -2% moves need no action; only declines of -30% to -40% in small/mid-caps or blue chips would warrant fresh updates. He calls the Fear & Greed Index nearly useless but says its fearful reading, with the market well above a year ago, shows a market climbing a wall of fear.
  • His content surges only at breakouts, breakdowns or buy-list building. As a breakout investor he posts more when the market or individual stocks tap 52-period highs or 52-period lows, and during consolidations he builds buy lists (or short lists, depending on conditions), most recently from the Midweek Movers winners. He frames his expectation of another leg up, including in his own holdings, explicitly as speculation.
Master InvestorWhy I'm Now Selling Semiconductors - The Capital Cycle Investor Approach
  • Invest on supply discipline, not demand forecasts. The guest's quip is that "supply is measurable, but demand is storytelling": fabs, ships and copper mines can be counted, demand for them can't be predicted, and curtailed or absent new supply improves the odds of a good outcome.
  • Memory chips were a textbook capital cycle. He says the memory makers consolidated from about 20–22 players in the 1990s to three, so capital was allocated more rationally while the rising cost of multi-billion-dollar fabs raised barriers to entry.
  • The AI memory windfall was luck, not a forecast. He stresses that his early semiconductor investments carried no view that memory would become the AI bottleneck; a supply-discipline approach simply positions you to benefit from that kind of luck.
  • He is selling because memory makers trade far above replacement cost. Responding to Frost on a roughly decade-long holding, he says he has sold aggressively over about the last six months, as the companies are now valued at three to four times what it would cost to rebuild their fabs. His call is that the cycle is "much closer to the top than the bottom," though turning will take time.
Loss DogOptions Trade Management: Close, Roll, or Hold? #optionstrading #optionstrategy #trading #strategy
  • Managing a losing trade is judgment, not a fixed rule. The host answering calls it "art, not a science": the choice depends on the stock, the position, price and time. The one near-exception is an outright futures trade put on for the day, which the host would exit once it is clearly wrong, and even that is described as not fixed.
  • Time to expiration, not price, triggers the management decision. For positions opened at roughly 40 to 60 days to expiration, the host starts looking to adjust around 21 days out, within a loose window of about 15 to 25 days. A second voice closes by saying the point is to have some plan in mind.
  • The right action depends on how the position is built. Short premium the host still wants gets rolled from one month to the next. A defined-risk directional trade that went wrong gets left alone ("hands underneath my thighs"). A position with naked exposure that has moved well against them would likely be closed, perhaps replaced with a vertical spread in the preferred direction.
Loss DogS&P Price Targets, NVDA, Bank Earnings & Ratio Spreads | 10.13 | One Lucky Dog
synopsis

The hosts read the day's market as going nowhere: a lot of movement in both directions that netted out near unchanged. Their message to viewers was to trade small and nimbly, sell premium where implied volatility is high, and ignore forecasts, whether from strategists, from analysts or about AI. Tom Sosnoff stayed long bonds against his co-host Scott's bet on lower bonds. The show ended in an unresolved argument over whether a 25% fall in AI stocks during 2027 is a certainty.

The open. Scott and Tony Battista open on a market that doesn't fit together. The Nasdaq is down about 270 (almost 1%) while the S&P is flat, the Dow is up about 400, bonds are up, oil is down, and the VIX is around 15–16. They say that mix should have lifted the Nasdaq. Micron is down $59, to $936 from about $1,050, and AMD is down $21. Apple, up about $5.60, is described as trading opposite the market.

Price targets. The show's question cites consensus S&P forecasts missing in 12 of 14 years since 2012, by 6% on average. Both hosts call annual targets opinion bent by business interest. A strategist calling for a 20% decline would lose the job, and a sell rating on a stock comes only after the damage is done. JPMorgan's revenue miss ($50.9 billion against $51.2 billion) alongside a higher share price is their evidence that traders should "play the expected move" rather than the narrative.

Viewer questions. The hosts call a covered call and a short put at the same strike the same position, with the naked put winning on capital efficiency. One host's working definition of a "synthetic naked" position is any spread whose wings are bought mainly to cut buying power. Width relative to the stock price also counts: past about $15–20 on a $200 stock it is no longer a vertical. A poor man's covered call is described as a 70–80 delta call 100–300 days out, against a 30-delta short call. On weak breadth (36% of stocks above their 50-day average), one host leans contrarian toward beaten-down stocks with high IV. Both call trade management "art, not science", with Tony adjusting around 21 days to expiration. A caller's Merck idea draws an IV rank of 101 but wide markets, so the advice is defined risk. Another caller was flagged under the 390 rule: an average of 390 order entries per day, cancels included, aggregated by tax ID. One host says the rule should be scrapped and points the caller to FINRA.

Scott's trades. Scott lists four trades:

  • an Apple November call spread for a $2.49 credit (IVR 49, POP 72), as a mild bet against the market
  • an IBM November double ratio for $3.65 (IVR 47, POP 78), effectively a short strangle through earnings
  • a bond-futures double ratio (long the 107 call, short two 108s; long the 100 put, short two 99s) for 29 ticks, with a $1,453 maximum profit (IVR 60, POP 80)
  • a Micron broken-wing butterfly (1230/1250×2/1300) for a $1 credit, with a $2,100 maximum profit, $2,900 maximum loss and 94% POP. He chose it because a naked ratio on a $1,000 stock tied up too much buying power.

Tom on bonds, banks and IPOs. Tom reports selling bonds at 103.31 and 104 and covering Nasdaq short call spreads near the lows. His deltas are roughly flat, net long bonds and short index futures. He also plugs the trade feed and a "One Lucky Dog" platform said to launch in two weeks, which is a product pitch. On bank earnings, both say bank IV around 20–23% is too low to sell premium. They doubt higher rates matter much this quarter, because bank balance sheets are laddered out over time. If Anthropic listed at a $2 trillion valuation, one host's first bid would be $1.4–1.5 trillion, and neither would buy at the IPO.

Rates and housing. Asked where bonds belong, one host says about 105–105.5, roughly a 50% retracement, with an outside chance of 106. One host argues cash deserves 5% just for existing. The other notes that high risk-free rates pull money out of stocks. The 30-year mortgage rate is 7.4%, its seventh straight weekly rise, against 6.34% a year earlier. The hosts expect house prices, up 38 straight months, to stay high because building costs are elevated and contractors have too much work to negotiate. One host argues a house is a necessity, not an investment, and the other pushes back.

Scalping and IRAs. Size is said not to matter when scalping. It keeps the hosts engaged and won't make anyone rich or poor: a micro future ties up about $2,300 and an E-mini about $23,000. Leveraged ETFs are acceptable for intraday scalps only, and futures are preferred.

Nvidia. Both hosts call the data-center guarantee a circular loop. Nvidia, said to be worth $5.5 trillion at $225, puts up money so that a customer can buy its chips. They see red flags but nothing illegal, and a risk if China answers with unlimited capital.

Put ratios. With the long put at the expected move, the hosts put the probability of profit at 88–94%. They call the trade bullish, not bearish, and say profits should be taken early. On corn options, one host says spreads trade one tick wide but liquidity exists only from about 4–5 a.m. to 1 p.m.

AI collapse. One host calls a 25% decline in AI stocks during 2027 a 100% certainty, given that several names fell that much at least twice in 2026. The other cites Nvidia's roughly 25% one-year expected move as evidence that the call is overconfident. The show ends without resolving it.

  • Annual S&P price targets are a sales function, not a forecast. The show's framing: since 2012 consensus targets missed in 12 of 14 years, by 6% on average, and the S&P already sits about 3% above the January 2026 strategist average. The hosts argue banks can't publish bearish calls without hurting their capital-raising business, so a sell rating arrives only after a stock is "obliterated". They add that a target below 10% would count as bearish, and that short-term options traders should look at IV rank instead.
  • A same-strike naked put beats a covered call on capital. The hosts call the two positions identical in delta, and say the dividend is priced into both. One host adds a behavioural caveat: covered-call holders tend to keep managing the position, while put sellers tend to drop it. In an IRA the suggested substitute is a wide put spread with a cheap long leg. For SpaceX, a $150/$115 spread for about $6.50 uses roughly $3,500 instead of $15,000.
  • A put ratio spread is a bullish high-probability trade. The hosts reject the "modestly bearish" framing. With the long put at the expected move (about the 84% level) and the shorts near the 90–95% level, they put the chance of profit at roughly 88–94%. Their rule is to read direction from delta at entry and take small profits early, such as 25–50 cents on a 50-cent or $1 credit.
  • Nvidia's financing of an OpenAI data center is circular. The show reports a guarantee of up to $100–105 billion (both figures are given) for a site in Ohio. Both hosts call it suppliers funding customers who must then buy their chips, a "loan-sharking" use of cash that would otherwise go to buybacks or dividends. They see red flags but nothing illegal, and worry that markets near record highs leave no room for error.
  • The hosts split on whether a 25% AI-stock drop is near-certain. One host gives it a 100% chance in 2027, arguing that Micron, AMD, Nvidia and SpaceX each fell more than 25% at least twice in 2026. The other answers that Nvidia's one-year expected move is about $60 on a $225 stock (about 25%), so a full move in one direction is no certainty. That host would hedge by spending 3–5% of premium collected on shorter-dated puts. A $200,000 bet is offered on air.
Master InvestorHow to Profit When Cycles Turn – Django Davidson on Capital Cycle Investing
synopsis

Django Davidson, founding partner of Hosking Partners ($8 billion AUM, founded in 2013 by Jeremy Hosking), argues that the capital cycle (invest where supply is shrinking, avoid where capital is flooding in) works better now that higher rates have revived creative destruction. In practice that means steering clear of US mega-cap tech's capex boom and selling memory chips at three to four times replacement cost. He is buying platinum, copper, shipping and corporate Japan instead. Frost puts the fund at 13% a year over ten years against 12.5% for the all-country world index, and 40% against 22% over the last twelve months.

The framework. More capital in an industry means lower returns: one ball-bearing factory earns well, ten do not. Managements adjust late, so timing is "an art not a science." Unlike plain value investing, the framework asks whether a cheap stock still faces excess capacity.

US tech. Davidson says hyperscalers have gone from $200–300 billion of annual free cash flow to negative, and from about 1% of investment-grade issuance in 2023 to a fifth. He calls this investment on a scale last seen in the 1800s railroad boom. He concedes nobody yet knows whether AI is an oligopoly or a commoditised factory business, but China processes three-quarters of tokens at about a fifth of the cost.

How the firm is built. Several "multi-counsellors" share one ~400-stock portfolio covering 20–25 themes. A colleague can add to a fallen position, which gives clients a considered form of averaging in. Small positions open up unloved sectors like tanker shipping.

Winners and mistakes. Memory semis were bought on consolidation from about 20–22 players to three, not on any AI forecast; they are now being sold as capacity comes. European chemicals have disappointed because Davidson missed Chinese supply he "couldn't measure." The position has shifted towards specialty niches trading below replication cost.

Metals and Japan. Platinum capex has fallen from $600 an ounce to $300 on fear of EVs. Copper prices must go "much, much higher" before smaller, costlier mines come on. Gold depends more on demand stories, so he is less keen. In Japan, companies are cutting invested capital, and the fund co-invests with activists.

Valuation and rates. High valuations attract competitors and make managements complacent, as at Kraft Heinz and at Nike, down 85%. The 10–15 years of near-zero rates were an aberration, and normal rates should speed up mean reversion.

Advice. Quoting Hamlet's "to thine own self be true," he says to know your own psychology. Munger lost 50% three times, which Davidson takes as a reason most investors should avoid concentrated portfolios.

  • Supply is measurable; demand is storytelling. Davidson's capital-cycle framework says the more capital chasing an industry, the lower its returns, so Hosking Partners counts fabs, ships and mines rather than forecasting demand. His argument is that a supply-constrained industry benefits from any demand surprise, whatever form it takes, and that few competitors invest this way.
  • US hyperscalers have entered a negative capital cycle. Davidson says they have gone from $200–300 billion a year of free cash flow to free-cash-flow negative, from buybacks to issuance, and from about 1% of investment-grade issuance in 2023 to a fifth of it. He compares the scale to the mid-1800s US railroad boom and notes capex estimates have more than doubled from the $3–4 trillion his "AI paradox" piece flagged a year ago. His inference is that data centres are commoditised factories: China processes three-quarters of AI tokens at about a fifth of the cost, which he expects to force US capacity into price competition.
  • The memory-chip trade is near its top, so they're selling. The position in Micron, Samsung and SK Hynix rested on consolidation from about 20–22 players in the 1990s to three, plus rising fab costs, not on any AI demand forecast; the average holding period is just under a decade. Over roughly the last six months they have sold aggressively because enterprise value is now three to four times replacement cost, and Davidson expects new capacity from Chinese IPOs and US reshoring.
  • Platinum-group metals are the ideal supply-constrained setup. Davidson says platinum is about 20 times rarer than gold, mined 2 km deep, mostly in South Africa, by about four dominant companies. Fear that EVs will kill auto-catalyst demand has halved industry capex from about $600 an ounce a decade ago to $300, and he argues that constrained supply matters more than the unknowable demand outcome.
  • Japan is a country-level capital cycle shrinking the denominator. Davidson says corporate Japan is raising return on capital by cutting invested capital, unwinding cross-holdings, excess cash, duplicate head offices and idle plant, which most companies avoid because of the social friction. Japan is the fund's largest country position. They play it by co-investing alongside activists who target low-valuation companies under the stock-exchange rules, and he expects the trend to have a long way to run.
Loss DogPosition Sizing & Trading: The Risk Rule That You Need To Know #trading #markets #risk #wearelossdog
  • Position size, not pick quality, decides who survives a losing streak. The setup gives two traders identical picks and a five-trade losing streak: risking 1% per trade leaves 95% of capital, needing a 5% gain to recover, while risking 10% leaves 59%, needing 69%. The hosts' slogan is "size kills" — genius fails only by getting too big.
  • Risk 1–3% per trade, because an "edge worth sizing" is only perceived. One host argues nothing really bad can happen at 1–3% of the account per trade, since five-trade losing and winning streaks are statistically certain. The same host rejects the premise that a real edge justifies sizing up, calling it "just the perception of an edge." No data beyond the opening example is offered.
Loss DogTony walks us through what is new on the platform this week! #fintech #stocks #etfs #wearelossdog
  • Lossdog pitches a new Correlation Map feature. As the company describes it, the tool takes any ticker and shows how it moves alongside more than 9,000 stocks, ETFs, funds and major cryptocurrencies, from what it says are over 229 million correlations across six time frames. It is also said to flag which relationships are new, persistent or recurring. This is a product announcement; no example results are shown.
  • New and upgraded tools are flagged in the platform's navigation. Stars in the left-side navigation mark recent additions, and the company points viewers to a platform-features playlist on YouTube for tutorials. The piece is entirely promotional and makes no market argument.
Stock TokThe Stock Market Is Setting Up for a Big Move
  • The S&P 500's consolidation is about to resolve in a big move. He says the index has consolidated since ~13 August with locally higher highs and higher lows, and expects the compressed price action to break within days or next week. He leans upside because no individual stocks have truly crashed and longer consolidations tend to produce bigger moves, but allows it could be a "huge fake out".
  • Rainy.talks' three AI-infrastructure picks pass his screen. The TikTok creator named Amphenol (high-speed AI cables and connectors), nVent (liquid cooling) and Eaton (grid-to-server power). He finds all three in well-developed uptrends with locally higher highs and lows, and growing EPS and revenue annually — the conditions he wants. nVent placed second in last week's midweek movers.
  • nVent is his favourite of the three; Amphenol his least. His objection to Amphenol is share count, about 2.47 billion shares outstanding. He also likes that these names lack the bloated market cap he sees as Nvidia's problem.
  • He trades for probability of running now, not five-year holds. He explicitly declines the creator's five-year framing, saying no one has a crystal ball. He contrasts these picks with typical influencer stocks sitting at 52-week lows in downtrends, where dollar-cost averaging is in his view the worst thing a portfolio can do.
Loss DogDoes Size Matter MORE Than Your Stock Picks? | 10.12 | One Lucky Dog
synopsis

The hosts read a flat, low-volatility market a tick off all-time highs: S&P unchanged, VX near 16.9, NASDAQ down 100 to 235 on selling in AMD and Micron. One host was short NASDAQ futures and slightly short crude near $94, and both sensed bond sellers drying up after three months. What they wanted from the viewer was discipline over conviction: risk 1–3% per trade, sell premium in high-IVR names with defined risk, lean contrarian. With volatility this low, they said, earnings and short-premium trades pay less than usual.

Position sizing. Two traders with identical picks take a five-trade losing streak. At 1% risk per trade one ends at 95% of capital, needing 5% to recover; at 10% the other ends at 59%, needing 69%. The hosts did not split. Size is the only way "genius fails", with Long-Term Capital Management in 1998 and an unnamed 2026 AI hedge fund as examples. They dismissed "an edge worth sizing" as perceived edge, conceding only that high, mean-reverting volatility pays premium sellers more for the same delta.

Viewer questions. IVR has no intraday floor or ceiling and resets at the close; readings of 110–140 are selling opportunities. A wheel selling 30-delta puts at 30–40 DTE is sound but bullish, so wrong for a bear market. Earnings trades work best when both broad IV and the name's IVR are high, though the hosts say nobody knows if one is worthwhile. Options on single-stock futures are judged unlikely for lack of volume. The CME sets the same overnight futures margin everywhere, but intraday margin is the broker's choice. Their old firms used 25% of overnight, major brokers 25–50%, and futures-only shops 5–10%. Monthly 25–30-delta QQQ puts are called the best trade of 17–18 years; their research favours 20–24 delta. A Toronto student hears that trading experience sets intern candidates apart, and the hosts hire only interns who trade. On asking for a raise, the advice is to ask in person and split a 20% request between salary and RSUs, which cost the company no new cash. That answer ends in a pitch for Lossdog's pay data.

Hedging with futures. A caller asks about flattening portfolio deltas overnight with index futures. Both hosts call it among the hardest questions in trading, because nobody knows when to lift the hedge. If they hedge at all it is 50% of deltas, unwound the next session. They would rather cut position size, and they scalp futures around a position rather than treat them as a hedge. Rolling a futures position for a $3 debit raises the basis by $3 but leaves P&L unchanged.

Tom's trades of the week. All four were contrarian, defined-risk premium sales that he labels "synthetic" though they are spreads. The first is an Apple November 300/370 strangle with 270/400 wings for about $3 (IVR 53, earnings November 2). He sold a Boeing November 180/170 put spread for $2.40 (IVR 50, earnings October 27) and a McDonald's 225/215 put spread for $1.87 (IVR high 60s, earnings November 4). The last is a TLT jade lizard, short the 77 put and the 80/81 call spread for $1.26 (IVR 60), with no upside risk. Management is to take profit at 50% of max or around 21 DTE, and roll losers to December for a credit.

Tokenized stocks. With Scott Sheridan now on, the hosts split. One asks why anyone needs a tokenized Apple when the listed one trades nearly around the clock. The other argues tokenization gives global access without currency conversion. On the IMF's 1.5x volatility finding, that host blames liquidity: overnight tokenized Apple can be $2 wide against about $0.05 listed. Tokens from different issuers also aren't fungible and may lack dividends or votes. The prediction is no added systemic risk, with tokenized derivatives as the real payoff. A tokenized gold product their old brokerage offered through Paxos about five years ago barely traded.

Tariff refunds. S&P Q3 earnings growth is tracking near 30% on about 12% revenue growth. About $100B of an estimated $166B in tariffs has been refunded since the February Supreme Court ruling. Both hosts say a refund dollar deserves a lower multiple than a sales dollar. They differ on how fast the market notices, and one cites Micron as about 200 points below its post-earnings level.

AI and entry-level jobs. Both reject shielding any sector and want any rule set federally, not state by state as with California's SB 951 60-day notice. They split on scale. One calls the entry-level hit real; the other sees net job creation, having graduated into 20% rates and 10–11% unemployment. One would accept 60 days' notice, arguing that Meta and Google deliberately over-hire and then cull. A caller raises the worry that AI stops children learning to think, and the hosts answer with the calculator precedent.

Long straddles. Both hosts rarely or never buy premium and call liquid options fairly priced by high-frequency market makers. Micron was priced for an $80 earnings move and finished unchanged. One host was short a $10.65 November Micron strangle and bought it back near $7.10. Their advice to the curious is a small straddle in a later expiration, though one host finds current expected moves too narrow to be short premium either.

  • Position sizing matters more than picks, and edge is only perceived. The setup: two traders take the same five-trade losing streak. Risking 1% a trade leaves 95% of capital (5% to recover); risking 10% leaves 59% (69% to recover). The hosts agree that "size kills" and that 1–3% per trade means nothing really bad can happen. Their only concession is that premium sellers get paid more for the same delta when volatility is high.
  • Tokenized stocks' extra volatility is an illiquidity problem, not new risk. On the IMF finding of about 1.5 times the volatility of the underlying shares, one host argues the cause is overnight spreads as wide as $2 in Apple against about $0.05 listed. That host predicts no added systemic risk and calls tokenized derivatives the real prize. The other sees no point for US investors in US names, only for assets they can't reach now.
  • A tariff-refund dollar does not deserve a new-sales multiple. S&P Q3 earnings growth is tracking near 30% on about 12% revenue growth. About $100B of an estimated $166B in tariffs has been refunded since the February Supreme Court ruling. Both hosts say how earnings are made matters. They split on whether the market will see through it, with one citing Micron as about 200 points below its post-earnings level.
  • No sector should be shielded from AI; regulation belongs federally. One host calls the entry-level hit real, citing friends of their children in private equity. The other says they see only job creation and that graduates found work at 10–11% unemployment. Both oppose state rules like California's SB 951 (60-day notice). One would accept 60 days' notice, citing Meta and Google allegedly over-hiring and then running mass layoffs.
  • Long straddles pay fair value; try them small and further out. The hosts argue liquid options are priced fairly by high-frequency market makers. The option market is usually right: Micron was priced for an $80 move and closed unchanged, crushing premium buyers. They suggest a small straddle in a later expiration, so that if the stock doesn't move it doesn't collapse overnight. One host says the expected moves are now too narrow to be short premium.
Stock TokMany Stocks in BUY Territory Now
  • Headline-driven swings are shaking retail out of good positions. He describes the week as a mid-week scare followed by a rise into the close, and repeats his standing advice to ignore the news where the portfolio is concerned.
  • Many reader-requested stocks currently rate as buys. Of 27 tickers ranked, 13 were marked "buys" for strong established trends, good fundamentals and high relative strength, many with imminent bullish chart setups; one ranked top. The available text does not name the tickers.
  • He bought a Midweek Movers pick just starting its breakout. His rationale is the series' record: he reports its picks have averaged a 25.9% gain each this year. The stock is not named in the visible text.
  • The quiet week reads to him as consolidation before another leg up. He takes the absence of anything alarming as a positive sign that the market is still coiling, which is his interpretation rather than a stated forecast with levels or timing.
Stock TokTesla vs. AMD: Which Stock Would I Buy Right Now?
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Loss DogPoliticians Should Bet on Markets...Unless They Know Too Much #politicians #usa #markets #wallstreet
  • Politicians and officials should be free to bet on anything. One host argues the only line is trading on material non-public information, which is already a crime; everything else is "completely on the table." That host would like to see the Fed chairman betting on the bond market and every politician betting on prediction markets and stocks.
  • Trading ahead of a known presidential statement counts as insider trading. The other host plays devil's advocate, citing a "ginormous" trade in S&P futures and oil placed just before a Trump statement that sent stocks up and oil down, and poses a hypothetical in which a Fed chair (Kevin Warsh) is about to raise rates a quarter point. The first host calls buying ahead of such a statement a criminal offense, and both agree it only matters if the SEC actually prosecutes.
Loss DogRetail Traders, Trump's 21,000 Trades, 401(k) Alts & $40T Debt | 10.08 | One Lucky Dog
synopsis

The hosts read the morning as stress showing up in bonds rather than stocks. Oil is up about $4 near the $92 handle, and 30-year bond futures traded down to 101.06 before reversing to about 102.12. The S&P and Nasdaq open lower but show no downside momentum, so the day is a sell-off with no follow-through. What they want from viewers is mechanical, premium-selling discipline: strikes at the expected move, theta sized to the account, no cheap options sold. On policy they push in two directions. Sosnoff wants markets opened to everyone, politicians included. Sheridan wants guardrails on retirement money and on officials' trading. Tom Sosnoff is long bonds and short both index futures, and says on air that the position "has not worked."

Retail as smart money. The question of the day cites Goldman's estimate of $12 trillion in self-directed accounts. That is about 10% of US equity value and 20% of volume, up from 15% a decade ago, and Citadel reports record retail options premium in June with nearly half of it expiring the same day. The hosts answer that retail is the smart money. One says he would pick anyone in the crowd at their live events over any professional manager. They add that market makers don't need retail for liquidity. They need volume for scale: the high-frequency firms the hosts invest in don't trade SPY because the edge there is a fraction of a penny, and those firms compete with each other for retail flow rather than against it.

Viewer mechanics with Tony Battista. The first hour is mostly strategy questions. A skewed strangle expresses a directional view by placing the unwanted side further out. Battista's example was in euro futures at 112 with IV rank 65: he sold the 111 puts and 114 calls, because the puts cost twice as much as the calls. His call ratio spread buys around a 20 delta at the edge of the expected move and sells two contracts one or two strikes out for at least $1.50–2. Sosnoff takes 50 cents for a higher probability, and both put it near 90%. Short strikes start at the expected move, about a 20–22 delta, 35–45 days out. Sosnoff keeps theta at 0.1–0.3% of net liquidation a day. Other rules: never use a market order on a vertical, keep the same minimum default size for a $10 stock and a $1,000 stock, and prefer a short put to an in-the-money covered call. On 0DTE versus 45 days, Battista runs a blend.

Synthetic stock and a bear case. A synthetic long on a $100 stock is a 90-day call at 5.10 against a put at 4.06. That is roughly a $1.04 debit against $10,000 for shares, the hosts call it a clean stock substitute, and they tie the debit to carrying cost at a 4.24% T-bill rate. From there one host argues index-arbitrage firms are short stock against synthetic longs and earn higher rebates as rates rise. That gives them less reason to buy stock back in the October cycle, which the hosts call a bear-case argument rather than a call.

Battista's trades. He bought a Google 350/360 call spread at $4.98 on IV rank 55, using the October 23 expiry to avoid earnings on October 28, and sold it at $5.98. He also bought an IREN 36/40 call spread, which he calls completely wrong, and a GLD 380/387 diagonal for a $3.63 debit. An Adobe November strangle for $5.50 went unfilled. Sosnoff uses the unfamiliar IREN name to plug the company's coming One Lucky Dog trade-ideas software.

Product segment. With Scott Sheridan in, the hosts demo a correlation map in the Lossdog app. They describe it as plotting more than 9,400 symbols by Pearson correlation to any chosen ticker, recomputed nightly across 229 million pairs, and free. That is product marketing. Asked by a caller, the hosts concede the platform does nothing for an SPX 0DTE scalper.

Debt and the tax code. On $2 trillion a year of new debt, the $40 trillion limit and a 5.67% 30-year yield, Sosnoff says Congress sets the limit and the bond market sets the cost. He argues deficits only seemed harmless while rates fell, and that the bond market, not a stock market carried by a handful of names, is how the world now judges the US. He then argues that a $30 trillion AI asset class pays little tax and that technology can rewrite the tax code. Taxing it at 10% would cut $3 trillion, he says, and he cites 2025 operating losses of $21 billion at OpenAI and $8 billion at Anthropic. Sheridan rejects the arithmetic as taxing market value and says a one-page code just needs the old one scrapped. A caller sides with Sheridan, and the two agree to feed the tax code to Claude after the show.

401(k) alternatives. On the Labor Department's proposed safe harbor, Sheridan wants more choice than "15 crappy funds". He worries about illiquidity and opaque fees, though, so he would drop the accredited-investor rule outside retirement accounts first. Sosnoff calls opening 401(k)s overdue and says competition will lower fees. The two then argue over whether the accredited-investor test still matters in practice.

Presidential trading. On the 21,000 trades in Trump's 2025 disclosure, against 13 for Biden in four years, Sheridan calls the optics disgusting and wants officials in blind trusts. Sosnoff wants every politician, including the Fed chair, trading and betting, short of trading on material non-public information. He predicts the advisers lose 40% in a 20% bear market. Viewer polls: 79% against an accredited-investor restriction and 74% against politicians trading.

  • Self-directed retail traders are the smart money, the hosts argue. Citing Goldman's estimate of $12 trillion in retail accounts (about 10% of US equity value, 20% of volume versus 15% a decade ago), one host says he'd trust any attendee at their live events over any professional manager. They argue market makers need volume, not liquidity: the high-frequency firms they invest in skip SPY because the edge is a fraction of a penny.
  • Every short strike starts at the expected move, then gets adjusted. That is roughly a 20–22 delta, with probability of profit shifting only from about 70 to 62 as it moves. They won't sell cheap premium (no 20-delta strangle for $1) and keep theta between 0.1% and 0.3% of net liquidation a day, $100–$300 on a $100,000 account, near the top when volatility is high.
  • The US can keep borrowing as long as its bonds find buyers. One host says Congress sets the limit but the bond market sets the cost, and debt could pass $40 trillion; the problem is servicing it with the 30-year at 5.67%. Debt mattered little while rates fell, he argues, and the bond market, not a narrow stock market, is how the world measures confidence in the US.
  • The hosts split on opening 401(k)s to private markets. One wants new assets allowed but warns of illiquidity, opaque fees and savers sinking whole accounts, so would drop the accredited-investor rule outside retirement accounts first. The other calls the Labor Department's safe harbor overdue, arguing open markets drive fees down. A viewer poll ran 79% against any accredited-investor restriction.
  • The hosts split on whether a president's heavy trading is acceptable. Sheridan calls the 21,000 trades in Trump's 2025 disclosure, about 85 a day, disgusting optics and wants officials in blind trusts. Sosnoff wants every politician trading so they learn how markets work, objecting only to trading on material non-public information, and predicts those advisers lose 40% in a 20% selloff. 74% of viewers opposed politicians trading.
Stock TokI Ranked 27 Stocks. These 3 Came Out on Top.
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Loss DogActive Funds, Office Debt, King Dollar, Exec Pay & Christmas Tree Spreads | 10.07 | One Lucky Dog
synopsis

The hosts read the session's selloff, with S&P futures down about 52 and Nasdaq about 250, as the first crack in an equity market that has ignored falling bonds. The 10-year sat at 5.28–5.31%, which they called a 24-year high. They are short stock indexes and, in Tom's case, heavily long bonds, and so far that has lost money. Their stated view is that 5% rates are the historical norm and that stocks are "the next shoe to drop". Tom called the move "day one". Their advice was not to pile on: cut strategy risk and size first, and wait for volatility to rise and bonds to keep sliding before calling it a real break.

Open and positions. Tom is back from a seven-day, five-city trip that included a Money Show keynote and a prediction-markets conference. He says he is long bond and note futures at an average near 104 against a price around 101. He is no longer adding, only scalping around the core position, selling near 102.20 and buying back near 102.06. One host expects bonds to stay depressed until political change ends tariffs and the war. That host calls them grossly oversold but concedes they could reach 95.

Active versus passive. Morningstar finds only 25% of active funds beat passive peers over 10 years, and S&P finds 79% of active large-cap funds trailed the index in 2025. Tom argues that "active" funds are passive funds that shuffle holdings to charge about 50 basis points instead of 4–7, with no bearing on price discovery. He says active traders should be benchmarked against a multiple of the risk-free rate, never an index. Scott thinks some funds do more than shuffle and wants to see how they fare in a down market.

Viewer questions. For portfolio margin, cut the 3–7% (undefined-risk) and 0.3–1.5% (defined-risk) buying-power guidelines by about 30%. Six uncorrelated strangles at 5% each is not too concentrated, and 40–50% total is tolerable, but 70% leaves no dry powder. Winners should come off at target even before 21 DTE. The hosts say the market really is driven by four or five mega-caps now. Even so, the equal-weight RSP is smoother but is not what trades. Scott recounts a year-long fight to get naked short calls approved in IRAs at tastytrade; short stock remains barred because it requires borrowing.

Trades of the week. Tom presents four ideas. The first is a skewed euro-futures strangle selling November 112 puts and 114 calls at IVR 70, for about $1,030. The second is a TLT strangle selling 77 puts and 79 calls at IVR 75, for 2.44. The third is an at-the-money SPY 780/775 put debit spread, which was about 1.85 at the record high but is now too expensive. The fourth is an IBM put ladder selling a November 190 put and a December 185 put at IVR 47, about 5.12 combined. He justifies the IBM trade by 15 straight red candles near the 52-week low, and names Boeing as the other laggard.

Second round with Tony. Tony and Scott explain SGOV's lower payout as its 0–3-month bill ladder lagging rising rates. For an in-the-money ZB 103 put at about 70 delta with 16 days left, they would roll to November 102 for a credit or 101 for a small debit, bringing it to about 50 delta. When rolling, check the new month's IV, and close the trade instead if IV rank has collapsed. Tony says his TLT trade, taken on Tom's bond view, is his only posted loser. On preferreds yielding 7–10%, they warn against chasing yield.

Commercial real estate and housing. Office CMBS delinquencies are at 12%, and maturity defaults make up 81% of new ones. Moving a $1M-a-year property from a 4 to a 5 cap rate cuts its value from $25M to $20M. One host thinks return-to-office mandates help; the other says hybrid work permanently shrinks space needs. One sees commercial buys 30–50% off. Mortgages moving from 6.25% to 7.25% push out marginal buyers while locking in owners on 3.5–4% loans. A caller's house-flipping friend reports properties sitting unsold.

Executive pay. The segment cites $1.7B in one-time S&P 500 executive awards, up 50%, with about 450 executives receiving more than 900 awards over two years. All three hosts blame compensation committees for buying past performance at no risk to themselves. They favor a modest base with stock-linked upside: $5M with a path to $40M rather than a guaranteed $30M.

The dollar. The dollar index is above 102 for the first time since April 2025, up from 98.45 on September 10, and EUR/USD hit 1.1161 amid French fiscal worries. Tony thinks the euro's fall outstrips the dollar's strength and would rather buy the euro, at the low end of a roughly 1.10–1.45 range. Another host calls a pairs trade the smarter play. One host expects a Fed hike despite the weak 29,000 jobs report, and both call no hike bearish.

Christmas tree spread. On a $100 stock, buy the 100 call for $6, sell three 110s at $2 and buy two 115s at $1, for a $2 debit with no naked exposure. Max profit is $800 at 110, with break-evens at 102 and 114, versus a $4 call spread capped at $600. One host puts a 45-day pin at roughly 5% and prefers it as an SPX 0DTE shot; the other worries about intraday speed.

Close. Bitcoin fell $2,700, which the hosts take as proof it had risen with the broad market rather than on inflation. The show ends with a plug for the podcast and Lossdog's platform features.

  • The hosts are betting stocks fall next, and bonds haven't cooperated. With the 10-year at 5.28–5.31%, described as a 24-year high, the hosts say they are short S&P and Nasdaq futures, and Tom is heavily long bond futures at an average near 104 against a price around 101. One host predicts bonds stay down until political change ends the inflationary tariffs and war, calling them grossly oversold but says they could still reach 95.
  • "Active" funds are passive funds charging higher fees. Tom argues that funds which shuffle stocks to earn about 50 basis points instead of 4–7 have no effect on price discovery. He says active traders should be measured against a multiple of the risk-free rate, never an index. Scott pushes back that some funds do more than shuffle, and wants to see whether they beat the S&P in a down move.
  • Higher rates deepen commercial real estate's problem rather than creating it. They cite office CMBS delinquencies at 12% in August, with matured balloon loans that can't be refinanced making up 81% of new delinquencies. At a 4% cap rate a $1M-a-year property is worth $25M, but only $20M at 5%. One host expects return-to-office mandates to help; another says hybrid schedules permanently shrink space needs. One sees buys at 30–50% off peak.
  • Executive pay should be low base pay plus stock-performance upside. S&P 500 one-time executive awards reached about $1.7B, up 50%. Nearly half the index made at least one special award over two years. All three hosts blame board compensation committees for paying for past performance. They would offer about $5M with a path to $40M rather than a guaranteed $30M.
  • Christmas tree spreads bet on a rally to a level. Their example on a $100 stock buys the 100 call, sells three 110s and buys two 115s for a $2 debit. It risks $200 to make $800 at 110, with break-evens at 102 and 114, versus a $4 bull call spread capped at $600. One host puts a 45-day pin at roughly 5% and suggests 0DTE SPX instead; the other worries about intraday speed.
Loss DogEveryone Has a Thesis. Now There's a Scoreboard
  • This video is a product announcement, not market commentary. It promotes Lossdog's AI portfolio generator, which is said to take an investment idea, research the market, pick securities, explain each holding and build the portfolio. These are the product's described capabilities; the video shows no results.
  • The showcase thesis: quantum's payoff may go to the surrounding stack. The example community portfolio, "enterprise cloud and quantum computing deployment", bets on cloud platforms, infrastructure, connectivity and specialized hardware rather than quantum processors themselves, framed as selling picks and shovels in a gold rush. No holdings or returns are named.
  • New features pitched as fixing ideas that are never tracked. Portfolio Explorer is described as a library of community portfolios showing thesis, key holdings, historical performance and build logic, which users can follow. Portfolio Leaderboard ranks community portfolios by performance over several periods. The video asks whether the quantum portfolio works but leaves the answer to viewers to look up on the platform.
Loss DogJust 4 Stocks Are Driving the S&P 500 #stocks #finance #financetips #indexfunds #spx #wearelossdog
  • One host concedes the market really is different this time. They usually reject "new normal" arguments, but say a handful of S&P 500 stocks now drive most of the index's growth. They put that handful at seven to ten names earlier, now four or five, naming Nvidia, Apple, Google and Microsoft as far larger than the rest.
  • Equal-weighting smooths the ride but doesn't change what the S&P is. The host contrasts the cap-weighted S&P 500 with an equal-weighted index, which looks less volatile on a chart, and says trading it is fine for anyone who wants less volatility. Agreeing with a colleague, they hold that the cap-weighted S&P 500 "is what it is."
  • Concentration is why the S&P has done well, and it scares them. The hosts say holders of the S&P 500 have benefited from the heavy weighting at the top, which explains its performance. They also call that concentration something that "scares the living crap out of us", without saying what they would do about it.
Stock TokTHE STOCK MARKET BUBBLE IS FINALLY POPPING
  • The bubble is real but not bursting yet; price action decides. The title is deliberate clickbait mirroring this week's viral fear headlines, while S&P 500 futures sit 0.1% from all-time highs and have trended up since 16 August. He keeps his framework: a meltup called in 2022, a blow-off top he sees evidence of since June 2025, then a meltdown he has not yet called. His stated crash signal is a reputable large cap collapsing in a single day amid a sea of red, not headlines or indicators.
  • Burry's updated positions all fight the trend and are losing. Per the disclosure reported by TrendSpider on 22 September, he counts 7 of 9 positions in a loss, 2 at breakeven and one, Birkenstock, up 4.8%. He expects those losses to grow, and uses it to argue that fear-driven, counter-trend selling repeatedly leaves investors behind a recovering market.
  • Nvidia is fundamentally a bubble stock, but don't short it. He has rated it "avoid" since 2024, says he likened it to Enron on November 15th before Nvidia IR rebutted Burry on the 23rd, and cites Huang's showmanship. Yet the chart shows a Minervini-style Volatility Contraction Pattern breaking to all-time highs, so he expects short-to-mid-term gains and pain for bears, exiting only on weakness.
  • Palantir shows only strength; he guesses further upside. Up more than 600% since his 2024 call, it is gapping up with higher highs and lows after an accumulation signal on 04 August, and sits above the 200-day moving average, below which alone he will short. He guesses, explicitly with low confidence, a break above $200 and a run toward $300.
  • Nvidia and Palantir are becoming crowded retail trades he no longer wants. Although he expects both to do well short term, he thinks their popularity with retail investors will crowd them quickly, citing young buyers on social media calling themselves early at $200 a share in Palantir.
Master InvestorA Bear Market Is Time, Not Price
  • A bear market's real cost is recovery time, not drawdown depth. The speaker grants that the stock market always comes back but contrasts 2000, when it took 13 years to regain an all-time high, with the 2020 COVID drop, recovered to a new high in 5 months; the question to ask is which one you are in.
  • Whether a long recovery hurts depends on the investor's time horizon. On his illustration, a 13-year recovery is bad news at 68, but at 38 it means dollar-cost averaging at lower prices for 13 years and holding a larger equity base going into the next upswing around age 50. He frames it as a test of how much time and tolerance an investor has to wait out a peak-to-recovery cycle.
Loss DogHow to Find the SPX’s $226 Expected Move #spx #optionstrading #options #wearelossdog #trading
  • The option chain already prices the expected move for you. Reading the SPX weekly series expiring November 4, 2026 (the day after the election, 29 days out), the hosts point to an implied volatility of 15.3 and a bracketed figure of $226.77 beside it, which they read as an expected move of about 226 points up or down over that period.
  • Traders should switch brokers if their platform hides this number. One host says to move the account; the other softens this to opening a second account somewhere that shows it, so as not to "trade with blinders on". This is the hosts' argument, and as brokerage founders they have a stake in viewers trading and moving accounts.
Loss DogMarket Timing, Midterms, Covered Strangles, Bitcoin & Bonds | 10.06 | One Lucky Dog
synopsis

Scott and Tony, with Tom absent, spent the show on a market they found impressive but did not trust: stocks at record highs with no downticks, while bond futures sat near 102 and the 10-year at 5.27%. Neither host claimed to know which side would give. What they wanted from the viewer was to stop forecasting: trade what is in front of them, keep size small, prefer defined risk, sell premium where implied volatility is high (bonds above all), and leave the midterm election out of the decision.

The open. E-mini S&Ps opened up 42 at highs, oil near $88, and bonds at 102.11, down from a 114 handle. One host argues markets rarely crash from all-time highs and tend to drift lower instead. They had judged the market frothy a day earlier and would read a bid in VIX futures (about 17.20) on a flat tape as confirmation. On a viewer's question about who keeps buying, that host says "the bond market never lies" but allows they may be early, comparing the moment to the mortgage excess everyone saw before 2008. Gold, silver and oil are called range-bound vehicles for selling premium. On gold, the warning is against anchoring to the $5,400 high.

Market timing. The question of the day: $1 in the S&P 500 since 1990 became about $40, about $8 without the 25 best days, and nearly $240 without the 25 worst. The hosts separate investing from trading (a one-to-45-day horizon). Investors should scale in, take an employer match, and hold for decades. Traders should see the violent days as their best opportunities. Skipping $5 a day of coffee, they say, funds about $1,500 a year, or a small daily vertical spread.

Viewer questions, first round. They endorse a November 98/108 ZB strangle at an IVR near 80, preferring ZB to TLT. A near-retiree who cannot watch the market is pointed to roughly $10-wide SPY verticals, risking about $700 to collect $300, or iron condors if neutral. An agentic bot could follow mechanical rules, they say, but their objection is that the trader stops being engaged; Lossdog's own AI is said to target risk management, a product claim. Both call the idea that market makers price weekend decay into Friday "bullshit": no single firm sets prices, and if it were true everyone would trade it. Past research is cited saying weekly selling collects about one extra week of premium over 45-day trades, with a much choppier P&L. A viewer who paid 11% of a 7.8% Q3 gain in fees is told to keep their mechanics and ask the broker for a lower rate.

Trades of the week. Scott's trades: a SpaceX "Batman" double ratio for October 30, before November 3 earnings, at a $2.20 credit with a 77% probability of profit. A short QQQ call spread at an IVR of 44 and a 75% probability of profit. A Meta 845/850 call ratio at a $5.75 credit, outside a roughly $65 expected move. A November ZB 99/97 put ratio at a $250 credit with a $2,250 maximum and a 90% probability of profit, which works if volatility simply contracts. Viewers voted QQQ 32%, ZB 30%, Meta 22%, SpaceX 16%.

Reading the chain. A segment walks through the Tasty SPX chain. The November 4 series showed an IVX of 15.3 and a ±$226.77 expected move. The point is that the platform computes one standard deviation for you, and strikes outside it are where a premium seller looks. Tony's account-delta guide is 150–300 deltas per $100,000, with theta about matching delta, called "art, not science." Tony avoids plain debit spreads because they need a quick move. Instead he buys deeper in-the-money back-month options against short front weeklies, aiming to capture 70–80% of a move.

Midterms. The $226 expected move is about 2.7%, and the hosts see that pricing as time, not risk. They expect IV to expand into a known event, which leaves no edge in trading it early. A VIX near 12 would have worried them; 17 does not. They treat a JPMorgan strategist's call for higher VIX as one opinion and point out that almost nobody would have forecast record highs given everything listed: war with Iran, Hormuz closures, $100 oil, 102 bonds.

Bitcoin. At $86,000, up from about $60,000, Bitcoin is in their view rising with everything else, not as an inflation hedge. They dismiss Grayscale's correlation figures and expect it to fall if stocks do. They note AI cloud work earning about $940 per megawatt-hour against $179 for mining. One host still expects a rate hike.

Covered strangles. Shares bought at $100 with a 105 call sold at $1.80 and a 95 put at $1.40 lift max profit from $680 to $820. Below 95 the trader owns 200 shares, losing $1,180 at 90 against $820. Since a covered call is already a synthetic short put, the hosts call this two short puts and favor naked puts for capital efficiency. At the close, with S&Ps up 56, Tony admits he could not bring himself to sell the short-dated put that would have been a home run.

  • Market timing punishes investors but rewards traders on the worst days. The cited figures are that $1 left in the S&P 500 since 1990 grew to about $40, to about $8 if you missed the 25 best days, and to nearly $240 if you skipped the 25 worst. The hosts' answer is to scale in and hold for decades, take any employer match of 4–6%, and treat the violent days as trading opportunities rather than exits.
  • Stocks at record highs and collapsing bonds cannot both be right. E-mini S&Ps hit new highs while bond futures sat near 102, down from about 114, with the 10-year at 5.27%. One host holds that "the bond market never lies" but may be early, and compares it to the 2008 mortgage excess everyone saw before it broke. The other host calls a rally with no downticks unhealthy and took off about 60% of their bullish positions.
  • Calm election volatility reflects time to the event, not underpriced risk. Options priced about a $226.77 SPX move, roughly 2.7%, through November 4, the day after the midterms. The hosts expect implied volatility to expand as the vote nears, so they see no edge in buying or selling it early. They dismiss a JPMorgan strategist's long-VIX view as one opinion and say to trade smaller or with defined risk.
  • Bitcoin is riding the broad market bid, not an inflation hedge. Bitcoin was back above $86,000, up from about $60,000, and up 8.6% on the month. The hosts reject Grayscale's case that its correlation with gold rose to about 50%, saying Bitcoin has too short a history for that. They expect it to pull back if stocks sell off. One host still expects a rate hike despite lower odds.
  • A covered strangle adds a second short put to your downside. In the example, 100 shares are bought at $100, the 105 call sold for $1.80 and the 95 put for $1.40. That lifts max profit from $680 to $820, but below 95 you own 200 shares and lose $1,180 at 90 versus $820 for the plain covered call. The hosts note a covered call is already a synthetic short put, and neither routinely trades it.
Stock TokXometry Breaks +51% and I’m Buying Another Stock Today
  • This post includes paid content that is not available publicly. See the original source.
Master InvestorIs It Time to Buy Bonds?
  • Bonds are finally fairly valued, after six years too expensive. The guest (not named in the clip) argues a strong economy, expanding nominal growth and sticky inflation justify higher rates, and that a mid-5s long yield now prices this in where the low-4s yields of three or four months earlier did not. He frames higher yields as tracking fair value upward, not as rates "going out of hand" — his reason to start shifting toward bonds.
  • He took the position in a hedged way, via long-term TIPS. Rather than plain nominal Treasuries, he says he bought long-dated Treasury inflation-protected securities (real-rate bonds) to express the view.
  • Rising foreign yields could pull US yields higher still. He concedes Frost's point that long yields could rise further in the short term, citing European yields climbing and Japanese yields at their highest in 30 years on higher nominal growth and energy-driven inflation; because world bond markets are linked, he expects a "gravitational pull" on US rates and says that is already visible. Yield levels here are as of the recording.
  • At current yields, further rises cost buyers little. His arithmetic: buying at 5.25% and seeing yields go to 5.50% or 5.75% means losses far smaller than the same move would have caused six years ago, so he calls this a "first salvo" into bonds even while expecting yields might move higher.
Loss DogThe S&P's 4-Stock Peril, PSKY, Stock Splits & Box Spreads | 10.05 | One Lucky Dog
synopsis

With Tom Sosnoff away, Scott Sheridan and Tony Battista spent the Monday show waiting for the bond market to drag stocks down. It never did. Bonds sat near their lows around 102 while E-mini S&Ps climbed to up 32 handles by the close of the broadcast. Their view was that a rally carried by four AI stocks, against weak bonds and mortgage rates back above 7%, is narrower and more fragile than the index level suggests. What they wanted from viewers was not a call to get bearish. They wanted viewers to understand what the index has become, take what the market offers mechanically, and keep size and capital use in check.

Open and the bond question. The hosts opened by saying a $30 overnight S&P range is normal for current implied volatility, after daily ranges of about 60 handles the week before. Bonds were down 14 ticks at 102-10. One host holds that "the bond market never lies", is leaning short, and says they would sell futures if not on air. The other shares the puzzlement but says the rally makes them take their hands off the button.

Viewer mechanics. A viewer's employer caps trading at 50 transactions a quarter. The hosts call this overly restrictive, since counting each open and close leaves about eight round trips a month, and half-jokingly suggest a friendlier firm. On estimating price moves, they point to the expected move derived from implied volatility. Micron, at about $1,060 with IV near 50, implies roughly $15 for the day and $400–500 over a year. Trend, by contrast, they say no chart can reliably tell you. A position's delta at entry should match the trader's outlook.

Stock splits. Bank of America reports that split stocks outperform over the following 12 months. The hosts call a split a change in packaging, doubt the finding given a bull-market sample and a loose definition of "outperform", and note companies can time a split to soften a missed quarter. Their substantive point is that a split compresses implied volatility. Tesla went from a premium seller's best name to its worst after its split.

Rolls, wings and rules. One host adjusts a 20-delta strangle once it drifts to plus or minus 15 deltas, rolling the untested side until the whole position carries five to seven deltas against the move. A 20-delta short reaching 30–35 needs action; at 40 it was left too long. They stress that 21 DTE is a checkpoint for untouched positions, not a reason to wait before managing. For broken-wing butterflies the wings are twice the body width. They explain the 390 rule: averaging 390 option orders a day gets a retail account tagged professional. In their years running tastytrade, two people ever violated it. Overnight 23-hour trading neither helps nor hurts liquidity, they say, but the fills are poor.

Tom's trades. Tom's list was a short put in bond futures (99 put, IVR 95, POP 80), a euro futures short put (IVR 53, POP 82), a Microsoft call spread before its November 4 earnings, and an Oracle short put. The critic calls the $1.65 Microsoft credit timid and wants about a third of the strike width. The dog pound favoured the Oracle put at 35%.

Four stocks, 496 passengers. Nvidia, Apple, Micron and AMD account for about half of the S&P's ~12% year-to-date gain. Micron is up ~285% and AMD ~188%. Only about half of the index's members are up for the year, and ~75% fell in September while the index gained 0.25%. Since August 13 the S&P is down 0.7%, small caps 7.5% and midcaps 6.8%. One host, usually dismissive of "this time is different", concedes that indices driven by under 1% of their members may be. The two differ on whether this should change anything. One suggests trading smaller. The other says only that the trader should know the makeup has changed. Both doubt an index fund now buys real diversification.

Paramount's debt. The $52 billion Warner Bros. Discovery financing paid up to 9.1% and drew ~$100 billion in orders. Its 8-year notes still fell to ~96 cents on day one. Existing unsecured 6.875% 2036 bonds slid to 79 (a 10.4% yield) after being pushed behind the new debt, which one host calls legal but "crappy". An IPO, they note, is unavailable to a listed company. Alongside three IPOs pulled the previous week, they read this as lenders saying "pay me". They later corrected mortgage rates to about 7⅜%.

VIX and choosing underlyings. Both call the VIX the worst retail product ever created. One allows only a VIX covered call. A caller with 30 years of experience who sorts by IVR is told to take liquidity next, judged by option bid-ask width, and to favour names that "fit like a glove".

Debt versus investing. The hosts stand by earlier advice that drew pushback from viewers: moving 21% card debt to a 7–10% secured loan is prudent if the borrower will repay it. They acknowledge that many people have no such option.

Box spreads. Buying an SPX box, meaning the call spread and put spread on the same strikes, lends cash at a little over the one-year rate. Selling one borrows at roughly 4.5% by one host's estimate, against the 9–10% a broker might charge. They prefer SPX because it is European-style and Section 1256 (60/40). They warn against legging in or using a box for short-term money. The show closed with plugs for the Lossdog platform's features and podcast.

  • The S&P 500 no longer delivers the diversification buyers think. Nvidia, Apple, Micron and AMD supplied about half the index's ~12% 2026 gain (Micron up ~285%, AMD ~188%), ~75% of members fell in September while the index rose 0.25%, and since August 13 small caps lost 7.5% to the S&P's 0.7%. One host calls this possibly "different this time"; the advice is to know the makeup of what you trade and not cry if the four break.
  • The hosts read weak bonds as a warning the stock market ignores. Bonds sat near their lows around 102-04 to 102-10, down 14–20 ticks, while E-mini S&Ps rose as much as 32 handles. One host says they lean short and would have sold futures. The rates point is tied to consumer costs: they put 30-year mortgages back above 7% (correcting an earlier 6⅜% figure).
  • Paramount's record debt sale shows lenders demanding to be paid. The $52 billion Warner Bros. Discovery financing paid up to 9.1% and drew ~$100 billion in orders, yet its 8-year notes fell to ~96 cents on day one. Existing unsecured 6.875% 2036 bonds slid to 79 (10.4% yield), now behind the new debt, which one host calls "crappy". An IPO is no option for a listed company, they note; only a secondary is.
  • Stock splits change the packaging and cut the premium, not the value. The hosts doubt Bank of America's finding that split stocks outperform over 12 months, noting the sample comes from a bull market and that "outperform" can mean 2.1% against 2%. Their practical point is that a split drains implied volatility: Tesla went from a premium seller's best name to its worst after its split.
  • SPX box spreads let you lend or borrow near Treasury rates. Buying the call spread and put spread on the same strikes locks in a little over the one-year rate; selling borrows at what one host estimates is ~4.5%, against 9–10% broker margin. SPX suits it as European-style, with no early exercise and 60/40 Section 1256 treatment. Never leg in, they warn, and skip it for money needed soon.
Loss DogParamount’s $52B Debt Deal: Why Bonds Lost 4% #warnerbros #bonds #market #television #wearelossdog
  • The market is doubting Paramount's deal despite heavy demand. Paramount's record $52 billion debt sale for its Warner Bros. Discovery deal paid rates up to 9.1% and drew roughly $100 billion in orders, yet the 8-year notes fell to about 96 cents on the dollar on day one. That is a 4% loss, over $100 million in paper losses, for anyone selling before maturity.
  • The hosts point to the gap with high-grade borrowers. One host contrasts the 9.1% coupon with Amazon, which the host says recently raised about $60 billion at roughly 3⅝% or 3¾%, while conceding Paramount's credit quality is lower. The argument is that a deal going through does not make it a good deal.
  • Existing Paramount bondholders were pushed behind the new debt. The older unsecured 6.875% bonds (maturity given in the captions as 2030/2036) slid to 79, lifting their yield to 10.4%, a 21% loss for a seller. The hosts call this company survival risk rather than deal risk and say they would not buy. The opening question about IPOs as an alternative is never answered.
Loss DogWant to see what is new on the Lossdog platform this week? #predictions #ai #marketanalysis #lossdog
  • This short is a feature announcement for the Lossdog platform. It contains no market argument: it is a product rundown, and every capability below is what the company says the product does rather than a demonstrated result.
  • A new "market map" claims to show hidden portfolio dependencies. The company says it analyzed more than 419,000 pages across 4,200-plus filings to identify over 1.1 million supplier, customer, competitor and dependency links. Users can search a ticker or import a portfolio, under Ticker Insights.
  • Options training now comes with an interactive sandbox. Under Learn, users can watch one of Tom's 11 trading strategies and then change price, volatility, time or strike to see results, including an estimated probability of profit.
  • A monthly forecast game is aimed at engagement. Users predict the S&P 500, Bitcoin, crude oil and the presidential approval rating, climb a leaderboard, and earn "treats" that can be redeemed for Lossdog merchandise.
Stock TokI Reviewed Every Stock We Own. Here’s Is Where They Stand
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Master InvestorJim’s Long-Term Investment Playbook - #1 Asset
  • Bianco would hold a balanced stock-and-bond portfolio, not one asset. Asked by Frost for his single asset for the next decade, Jim Bianco says that with stocks fully valued and bonds fairly valued, a mix of the two should outperform inflation if expectations are realistic; he says picking a single stock to race ahead is "not kind of what I do."
Master InvestorThe Bond Pivot: Jim Bianco on Why it’s Time to Start Buying Bonds
synopsis

Jim Bianco of Bianco Research, bearish on bonds since 2020, tells Frost he has begun buying long-duration US debt. His view is that bonds are no longer expensive, though not cheap: yields in the mid-5s now price in strong growth and sticky inflation. He plans to scale in at mid-5s, high-5s and 6%, hedged to begin with through long-term TIPS. He accepts that yields could rise further first.

Why value has returned. Average US bond yield and modified duration both sit near 5.5, against 2% and 7 in 2020. A loss now takes a full 1% move in yields rather than about 30bp. Bianco anchors fair yields to nominal GDP. Inflation is stuck near 3% because goods deflation of about -0.5% a year after China joined the WTO has become roughly +2% under deglobalization, tariffs and war, and growth is strong, with US crude demand topping 20 million barrels a day.

The Fed's credibility problem. With the 10-year at 5.3% and the 30-year near 5.7% as of recording, Bianco says the recent move is not disorderly yet but may not be over. During the cutting cycle that began in September 2024, the Fed cut 1.75% while the 10-year rose 1.3%, which he calls a first in 50-plus years. A single hike, taking back 1.25%, has not convinced the market. If the Fed skips the October meeting because the midterms are a week later, he warns, that becomes a political decision, and more such decisions could follow in December and 2027. He argues the unanimous 12–0 hike vote was a mistake: a 7–5 split would have let Chair Warsh deflect pressure from President Trump.

Treasury and foreign markets. Bianco reads Treasury Secretary Bessent's yen intervention and the larger-than-expected $6 billion buyback, funded with bills, as attempts to cap long yields. He thinks Bessent is being directed by a president who claims unmatched expertise on rates, and that "I am the house" dared the market to push back. Higher yields in Europe and Japan pull US yields up with them: France is weighed down by Mélenchon's default talk and an energy squeeze, and Japan has 3%-plus yields, its highest in 30 years.

Why stocks shrugged. About 50 AI stocks make up 45–48% of the S&P 500. In his view they trade on growth potential and are less rate-sensitive than assumed, while the other 450 ride Q3 growth estimates above 3%. Retail trading, still above 20% of volume, adds short-termism.

Debt, gold and crypto. Bianco thinks debt monetization is off the table while inflation runs near 3%, because it would be inflationary. Total US debt is 364% of GDP against 362% in 2006, so he sees the shift toward government debt as the concern rather than the level: elevated blood pressure, not a heart attack. He likes gold's fundamentals but says speculative trading has made it volatile. He is bullish on crypto only if it builds an alternative system for some 2 billion people with unstable currencies, which is why he welcomed the failure of the Clarity Act.

Portfolio and closing advice. He expects returns of 4% from cash, 5% from bonds and 6% from stocks, so 60/40 still works, with bonds held for yield rather than as a hedge. His parting advice is that "a bear market is time, not price": recovery took 13 years after 2000 but 5 months in 2020. His biggest current worry is a shortage of refined products as refineries burn.

  • After six years bearish, Bianco is starting to buy long bonds. His case is modified duration: in 2020 the average US bond yielded 2% with duration of 7, so a 30bp move wiped out the coupon; now yield and duration are both about 5.5, so it takes a full 1% move to lose money. His plan is to start at mid-5% yields, add more at high-5s, and more again at 6%, barring a dramatic economic change; he has hedged the first step by buying long-term TIPS, which he expects to outperform nominal bonds if yields keep rising. He calls bonds fairly valued, not cheap, and says yields could still go higher.
  • Higher yields reflect higher nominal growth, not a disorderly market. Bianco argues inflation is stuck around 3% because the goods deflation that followed China's 2001 WTO entry (about -0.5% a year for 18 years) has become roughly +2% post-COVID through deglobalization, tariffs, supply-chain problems and two wars. Growth is also strong: US crude oil demand is topping 20 million barrels a day despite complaints about prices. Frost presses on the jump from 5% to 5.5% in weeks; Bianco says that as of recording (US 10-year 5.3%, 30-year about 5.7%) it is not disorderly, but the move may not be over.
  • Bond investors are punishing a Fed they see as insufficiently vigilant. Bianco says that from September 2024 the Fed cut the funds rate 1.75% while the 10-year rose 1.3%, the first time in 50-plus years long rates rose through a cutting cycle. The recent hike took back 1.25%, but if the Fed skips the October meeting because it falls the week before the midterms, he warns it becomes a political decision that invites more in December and 2027. He also argues the 12–0 vote to hike was a mistake: a 7–5 split would have let Chair Warsh tell President Trump he alone could not change policy.
  • The US stock market is now two markets, AI and everything else. By his count about 50 AI-related stocks make up roughly 45–48% of the S&P 500 and their correlation with the other 450 is falling. He argues the AI half trades on growth potential and is less rate-sensitive than assumed, while the other half rides strong growth (Q3 estimates above 3–3.5%), which is why rising yields haven't derailed equities. He adds that retail traders, still above 20% of daily volume after a 24% peak in 2021, push the market toward short-term gambling such as zero-day options.
  • Modest expected returns keep bonds in portfolios, for new reasons. Bianco's "4-5-6" annual returns (4% cash, 5% bonds, 6% stocks) over the next several years, which he says are reasonable in a 3% inflation world, mean 60/40 still works, but bonds now earn their 30–40% share through yield rather than as a hedge, since the stock-bond inverse correlation has broken. Investors with the risk tolerance can carve gold or crypto out of the equity portion.
Stock TokWhat I’m Buying, When I’m Selling & Where I’m Entering
  • The bull market stays intact despite oil and yield worries. He acknowledges retail concern over rising oil prices and Treasury yields but says the market's trend, not the headlines, is what he follows, and he expects another leg up to new all-time highs.
  • Xometry is his model trend trade, now up over 45%. The position hit a fresh all-time high this week, and he added to it three separate times as the uptrend continued, calling it the type of longer-term winner he looks for.
  • He rewrote the StockTok Summary page's entry and exit criteria. The update, linked from the post, lays out the specific conditions he now uses to decide when a stock is worth entering and when it's time to exit.
  • He published a separate breakdown of his selling approach. It covers how he thinks about exits, taking profits, and judging when to move on from a position, linked out from this post.
  • He named 3 stocks he's watching to buy next, with entry ranges. Sourced from past Midweek Movers winners, these are flagged as his next candidates following Xometry's run, with specific entry levels given in the linked post.
Stock Tok3 Midweek Mover Winner Stocks I’m Looking to Buy Next
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Loss DogRolling Put Options: 15 Delta vs 30 Delta Explained #optionstrading #markets #optionselling #stocks
  • Rolling a put up in delta roughly doubles the risk of getting touched. Going from a 15 delta to a 30 delta put takes the chance of being touched from about 30% to roughly 60%, though the new strike still has about a 70% chance of finishing out of the money.
  • Hitting a profit target is reason enough to exit, not to hold on. One host says once a trade reaches 50% of max profit there's nothing requiring you to stay in it — closing out is described as the better, research-backed choice over waiting for more.
  • Emotion, not probability, can override a mechanical roll decision. He cites his own holding of MU near its highs as a case where sentiment about the stock, rather than the delta math, ended up driving whether to roll the put.
Loss DogRecord Debt, Inflation Cools, Geopolitical Threats & 2X Calendar Spreads I 10.1 I One Lucky Dog
synopsis

The day's thesis, stated early and repeated through the show: the market is going nowhere but doing it violently, so stay small, trade defined risk, and don't marry a position. Overnight futures swung from up 20-odd points to an 11-handle range that touched the prior day's highs before round-tripping; bonds, credit and volatility all told a more alarming story than the headline index levels did, and both hosts kept circling back to "be nimble" as the only usable instruction for the day.

A running bond bet frames the bond story. The hosts have a standing wager — one took "bonds hit 100 before 115," the other the reverse — and 30-year bonds trading at 101-31 overnight forced a live, crowd-sourced ruling (put to viewer vote, roughly 60/40, with the loser conceding before the other host, absent from the show, could weigh in). The number matters because bonds are down 14% since late June, which both hosts agree is not yet a 20%-style "crash" but is already serious; one is long, betting on a short squeeze that he expects to ultimately fail given no natural buyer has emerged.

Micron's earnings reaction becomes a lesson in discipline. Micron's post-earnings move landed inside the options market's implied range even though the stock swung double digits, and both hosts admit they second-guessed a wide, mechanical options trade the market was all but telling them to make, instead over-thinking it and missing a "home run." The recurring moral — "the option market never lies," take the emotion out, trade the number not the narrative — returns later as a lens for reading Fed inflation prints.

The credit-card question draws a genuine split. Delinquencies at 13% (a 15-year high) on $1.3 trillion in balances, with average rates above 21%, prompts one host to call the rate "criminal" and worry aloud about a generation that can't afford homes but spends freely on luxuries; the other defends issuers' pricing as a necessary response to default risk, while agreeing undisciplined borrowing is the real problem. Both converge on the same remedy: negotiate the rate down, use a balance-transfer offer, or draw on home equity rather than simply absorbing 21%.

A long run of dog-pound questions covers the day's options mechanics. Topics include why probability-of-profit shouldn't feed a Kelly-criterion-style position-sizing formula (stick to 1-10% of account risk instead); a preference for the iron condor over the iron fly on SPX 0DTE, with a caution against trading purely for small, frequent wins; rolling short puts up toward at-the-money as a stock rallies (accepted, with the real risk being in the delta you take on, not the act of rolling); and a losing VST put that should be rolled out and down into earnings rather than defended at the current strike. A separate question on whether VIX is "high enough" for a 45-day SPX strangle gets a size-first answer: only with a large enough account, and staying outside the expected move given current skittishness. On XSP iron condors, the preference is for wider wings since the smaller product already caps capital risk.

Favorite trades of the week stay small and mostly bullish-leaning. One host details a TLT call-spread-plus-naked-put structure (bought for roughly a $0.48 debit, bullish on bonds before they fell further), a Tesla put ratio ahead of October 16 expiration avoiding the October 28 earnings date, a delta-neutral November Adobe strangle around 20-delta given no earnings in that cycle, and short 15-17 delta November puts in Oracle, which he called a "participation" trade with an 80% probability of profit.

Aura's shelved IPO becomes the day's sharpest editorial moment. With Aura joining Haltech and Bamboo in postponing listings, one host calls it a "giant red flag" and faults underwriters rather than the CEO, noting the deal let private equity sell 35 of 50 million offered shares — a structure he says signals that insiders themselves didn't want to stay in. He dismisses the official explanation (AI valuation reassessment, yields, geopolitics) as cover for bankers chasing fees regardless of demand.

A caller's question tees up the inflation and Fed segment. Cooler August core PCE (2.0%) cut rate-hike odds from roughly 70% to 40%, even as ADP showed private payrolls up 90,000. Both hosts are skeptical that a food-and-energy-excluded gauge reflects what people actually pay, and are more persuaded by the bond market's own signal — yields searching for direction even as a Fed official's dovish framing moves the print.

Geopolitical and valuation risk gets confronted directly. Asked whether 27 record highs and a mid-teens VIX amid North Korea's nuclear buildup, the Iran and Russia-Ukraine wars, and near two-decade-high yields reflect sound judgment or complacency, one host says the market is "climbing a wall of worry" and trading only the price in front of it; the other agrees but adds he still expects an eventual, unpredictable break and is already running lower-risk strategies than usual as insurance, favoring diversification across products so no single market's swings distort the overall picture.

Two callers prompt risk-management advice. One, running strangles and straddles using about half his buying power, is advised to size for a downside move — not an upside one — and to spend a small slice of collected premium (3-5%) on cheap, short-dated out-of-the-money puts to cap tail risk rather than trying to formally quantify it. A second caller's push for brokers to let retail algo signals auto-trade directly is acknowledged as technically possible but gated by compliance, not product limitations.

The show closes by dismissing double calendar spreads as needless complexity. Selling a near-term strangle against a longer-dated one can't be cleanly modeled because the back-month's eventual implied volatility is unknown, and both hosts find the structure too slow and analysis-prone; a single calendar, diagonal, or plain iron condor is preferred, especially for a trader just getting comfortable with multi-leg options.

  • Record credit-card debt reflects reckless borrowers, not reckless lenders. One host calls 21% average interest "criminal" given short rates near 4%, while the other notes delinquencies hit 13% in Q1 (the highest in 15 years) on a record $1.3 trillion in balances, arguing issuers must price for default. Advice to anyone carrying a balance: use an AI assistant to negotiate a lower rate, transfer the balance, or convert it into a home-equity loan.
  • A 14% bond decline since June counts as a real, ongoing crash. Both hosts agree a 20% drop would qualify as a crash and 10% would already be "huge"; one is long bonds expecting a short-squeeze rally but believes it ultimately fails, calling the Treasury secretary's "we're good here" stance badly out of touch with a bond market that "never lies."
  • Postponed IPOs expose banker self-interest, not just weak demand. Aura's $2.2 billion offering (alongside Haltech and Bamboo) was pulled, with the CEO citing "the luxury of choosing our moment"; one host blames underwriters for pushing a deal structured to let private equity exit 35 of 50 million shares, calling that a red flag rather than normal caution.
  • Markets are climbing a wall of worry while ignoring real tail risk. Despite North Korea's nuclear buildup, grinding wars involving Iran and Russia-Ukraine, and 10-year yields near two-decade highs, the S&P has hit 27 record highs this year with the VIX in the mid-teens; one host expects a break "sooner rather than later" and is sizing positions smaller as a hedge.
Stock TokYour Biggest Stock Market Questions Answered
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Loss DogMicron Stock: Analysts WRONG & Buyback Hype Explained! #micron #markets #finace #stockmarket
  • Wells Fargo's Micron price target likely followed options pricing, not the other way around. One host argues the firm's raised target lines up with the stock's roughly $470 options-implied expected move over the next 365 days, calling it unlikely the options market set its pricing by reading the analysts; the other agrees "100%."
  • The hosts doubt the market's own $80 expected move for Micron's earnings print. They contrast that near-term, options-implied swing with the much larger ~$470 move priced in over a full year, and both say $80 "doesn't feel like enough," suggesting the real post-earnings move lands closer to $40.
  • A Micron buyback this size would read as caution, not strength. Traders are reportedly positioning for a fresh buyback, with speculation the company could repurchase up to $25 billion a quarter once Chips Act restrictions expire in December; one host cautions that announcing a buyback doesn't obligate using it and isn't automatically good news.
Loss DogOpen AI Pulls the Plug, MU Earnings, BTC 400K and the S&P's Risk Premium | One Lucky Dog
synopsis

The hosts spend the show arguing that the day's biggest stories — an AI model held back, a historic bond breakdown, a sky-high Bitcoin forecast, and a thin equity risk premium — are mostly noise to be read for opportunity or ignored, while the one real catalyst, Micron's earnings after the close, is treated as a priced-for-perfection setup where the market's own expected move looks too small. Equities drift to session highs (S&P up around 46, Nasdaq up over 240) even as bonds keep making fresh lows, a divergence the hosts repeatedly flag without resolving.

The open: bonds diverge from stocks, and the AI question of the day. With the Nasdaq higher and the S&P recovering from a weaker open, one host keeps pointing to bonds — not the equity tape — as the real signal, noting a rally in the ten-year that doesn't fit the "buy the dip" pattern he expects to keep failing eventually. The question-of-the-day segment covers Open AI's decision not to release its newest model after internal testing found it didn't act "in accordance with human wishes." One host reads this as image management ahead of an IPO — good optics, no real constraint — likening it to a parent extending a curfew by fifteen minutes. The other calls blanket dismissal of AI risk "ignorant," arguing that bad actors get more dangerous with better tools, drawing a parallel to social media's effect on kids, but he also opposes government regulation since enforcement wouldn't reach outside the US. A dog-pound poll splits close to evenly: 40% no regulation needed, 32% government regulation, 28% mixed or undecided.

Bonds: a once-in-a-generation move treated as opportunity. Callers ask about the unprecedented bond action — TLT and ZB at levels not seen since the early 2000s. The hosts' answer is consistent: a move "you've never seen before" is just your personal multi-standard-deviation event, and the job is to find the two-sided opportunity in it rather than freeze. One describes selling the 100-strike ZB November put for 54-55 ticks at roughly 80-90% modeled probability of success; the other bought a TLT call spread while selling a naked put — opposite-looking trades united by the same logic of selling into elevated volatility.

Viewer mail: sizing, scalping, and a CME rule change. On position sizing, both hosts agree conviction can justify leaning in, but only in small increments — a one-lot should become a two-lot, not a ten-lot. On futures scalping, the advice is to stop treating an arbitrary dollar target as a reason to hold a loser hoping to "get back to even," and to scale out of winners across multiple contracts rather than trying to pick a top. A trader asking about MEES put ratio spreads at 90 days learns the micro contract no longer lists expirations that far out because the CME shortened its listing calendar in June; the suggested workaround is simply using the longest-dated expiration available, around 80 days. A proposed car-mileage-rollback trade is waved off as a real but untradeable macro theme, too diffuse and far out to express as a position. A caller's SoFi covered-call question becomes a short explainer on selecting strikes near the 30-delta expected move, and a separate answer warns against calendar spreads across futures months that don't represent the same underlying contract.

A live demo of the "Market Map" feature — a product segment, not analysis. The hosts walk through a new tool built from machine-learning analysis of SEC filings, which maps relationships between roughly 5,000 companies instead of sorting them into standard sectors, and can be queried via an embedded AI chat or cross-referenced against a user's uploaded brokerage portfolio. It is presented entirely as a platform feature, with no trading content attached.

A call-in from Tom Sosnoff covers his existing Nike position (November $35 calls, cost basis near $2.10 against a $35.92 stock) without much conviction on an earnings trade, and he flags that Micron options were expensive and hard to fill when trading it naked ahead of earnings.

Lost Dog's four trades of the week, all placed ahead of earnings, are a Tesla double ratio "Batman" trade (selling calls and puts around a core long call/put, for a $3.15 credit, 83% probability of profit), a Reddit short strangle (selling the 170 call and 125 put, for a $3.62 credit at 39% IVR and 73% probability of profit), a ZB put ratio (buying the 99 put and selling two 97 puts for 10 ticks, 98% IVR and 94% probability of profit), and a Palantir call ratio (buying the 205 call, selling two 210 calls for a $1.73 credit, 49% IVR and 87% probability of profit).

The thin equity risk premium gets dismissed as a non-trade. With the S&P's earnings yield near 3.8% against a 10-year yield of 5.2% — a roughly 26 P/E versus an 18-19 historical average — the hosts argue this matters only to fundamental, long-horizon investors, not to their own trading, and that a stretched valuation "can stay like this for a long time" without a trigger.

Bitcoin's $400,000 target is treated as promotion, not forecast. The hosts calculate that figure would value Bitcoin above $8 trillion, more than one-and-a-half times Nvidia's market capitalization, versus Bitcoin's actual 33.6% historical annual growth rate and a prior Armstrong forecast of $1 million already cut by 60%. They note Polymarket prices only a 1% chance of Bitcoin even reaching $200,000 by 2027.

Closing mechanics segments cover reading liquidity on four-legged SPX spreads (delta-neutral spreads fill easily; directional ones move with the index) and a call ratio backspread explainer: selling one at-the-money option and buying two further out, which trades a defined "valley of death" loss zone for theoretically unlimited upside if the stock makes a large move — a trade both hosts say they'd never personally put on.

  • Open AI's shelved model is framed as PR, not genuine safety restraint. One host calls it positioning ahead of an anticipated IPO, comparing it to letting a teenager stay out past curfew once. The other argues dismissing AI risk entirely is "ignorant" since better tools accelerate bad actors, but still opposes government regulation as unenforceable outside the US. A dog-pound poll split 40% self-regulation, 32% government, 28% undecided.
  • Bond market's historic break is an opportunity, not a reason to freeze. Both hosts cite bond levels and volatility unseen since the early 2000s — ZB trading down to the 102 handle, TLT volatility near 100 IVR — as a rare move to lean into rather than fear. One sold the 100-strike ZB November put for 54-55 ticks near 80-90% probability of success; the other bought a TLT call spread while selling a naked put.
  • Micron's priced-for-perfection setup leaves no room for a stumble. With the stock up 279% year-to-date and analysts projecting revenue up 353% to $51.24 billion and EPS up 943% to $31.59, the hosts argue the options market's roughly $80 (7%) expected move looks too small against the stock's $700-$1,250 range this year. They trust options pricing over analyst targets like Wells Fargo's $1,515, and flag a possible $25 billion-a-quarter buyback once restrictions tied to the company's CHIPS Act funding lift in December.
  • Coinbase's Bitcoin price target gets dismissed as marketing, not math. The hosts note CEO Brian Armstrong needs 51% annual growth to hit $400,000 by 2030, versus Bitcoin's 33.6% historical average, after quietly cutting his prior $1 million target by 60%. They calculate $400,000 would value Bitcoin above $8 trillion — more than 1.5 times Nvidia's market cap — and cite Polymarket pricing just a 1% chance Bitcoin reaches $200,000 by 2027.
Stock TokYes, I think a Market Meltdown is Coming. Here’s When I Will Sell.
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Master InvestorMichael Hartnett's View on Yields and Stocks
  • Rising cost of capital hasn't derailed the record-high stock market — yet. He argues yields have risen from near zero in 2020 to above 5% without reaching a level that compromises US corporate earnings power, though he expects that threshold eventually to be hit.
  • Disorderly bond routs, not orderly ones, are what force policymaker intervention. He points to 2022 as the precedent and says the recent move toward 5% has caused real pain under the surface — a flattening yield curve and more than half of S&P 500 names below their 200-day moving average — even as the index itself stays elevated.
  • The Fed's credibility, not rate level, is protecting the AI trade. He contrasts the Mag 7 peaking a year ago on a rate cut the market read as reckless with their breakout to new highs after a subsequent hike, arguing central banks can't run out of ammunition but can run out of credibility — and restored credibility keeps long-end yields contained, letting AI capex spending continue.
Loss DogAI Market Map: Unlocking Company Connections With Lossdog #ai #market #trading #stockmarket
  • Lossdog is launching a "Market Map" feature that visualizes company relationships. Built on machine-learning analysis of over a million data points drawn from 10-K filings and company data across more than 5,000 US public companies, it lets users zoom from a full-market view down to individual customers, suppliers and competitors, and add their own portfolio holdings or query an AI about what they see.
  • The hosts frame the tool as unprecedented, claiming no comparable product exists. One argues it was "impossible before the advent of AI" and calls it "a game changer" that took an AI development team weeks and months to build; these are the hosts' own characterizations, not independently verified claims.
  • The feature is offered free, alongside other recently launched interactive tools. The hosts note it joins other new additions -- interactive slides for testing positions and strategies, and an AI chat feature -- and urge viewers to check out the market map "preferably today," at no charge.
Loss DogAI Havoc? Real Concerns Beyond Sci Fi Scenarios #ai #currentevents #datacenter #wearelossdog #scifi
  • One host puts real but low odds on AI catastrophe. He gives roughly a 10% chance of the world ending within 10 years, but says his actual concern isn't autonomous agents "taking over" — it's the power AI hands to bad actors who will exploit it.
  • He expects a hack to precede any real safeguards. He predicts a breach of a bank or phone company will happen before adequate fixes catch up, calling this the normal pattern for any new technology, while noting AI is moving faster than anything he's seen before.
  • His deeper worry is investor principal, not the technology. He cites "tens of trillions" of dollars committed to AI stocks as the risk to investors and traders. The second host disagrees outright, saying he has "no fear" and telling viewers not to listen to "fearmongers."
Loss DogFounder's Stock Schemes, NVDA, 0DTE Management & Small Caps | 9.29 | One Lucky Dog
synopsis

A choppy, directionless session — S&P flat to lower, NASDAQ firm on AI-adjacent strength, the Russell 2000 the day's clear laggard — sets up a show built around one idea: with bond implied volatility running roughly three times stock volatility, the week's opportunity is selling premium in bonds and staying disciplined about buying power, not reading macro headlines on AI risk, rate spikes or founder control as trading signals.

Founder control. The open takes up Alphabet founders Page and Brin holding 52.7% voting control on under 12% ownership — roughly $500 billion of Alphabet's $4.19 trillion market cap — a dual-class structure Tom says is set at the IPO or private-equity stage and is common across many public companies, Meta included. Tom argues it's a fair price for the capital a founder's track record commands and says he'd want the same protection himself, though decaying as the stake falls below the control threshold. Scott takes the investor's side: he'd never grant open-ended control, calling a shrinking stake paired with fixed control a structural misalignment.

Viewer mailbag. Quick explainers follow: an inverted yield curve (short rates above long) is rare, recession-adjacent, and hurts banks that borrow short and lend long; two similarly priced stocks with the same IV rank can carry different extrinsic value because raw implied volatility, not IV rank, sets premium; gold and rates are called non-correlated for 15-20 years despite this year's simultaneous gold selloff and rate spike, with Tom trading the two independently; and no trade is ever placed around a looming tax bill.

No charts, ever. Asked how they pick trade levels without a price target, both hosts say they never use one, deciding off the option chain, IV rank, liquidity and the day's expected move, then staying fluid. Neither uses charts — a habit from the trading floor; they built the original ThinkorSwim without a charting package for the same reason, adding one only after customer demand, and still don't use it themselves.

AI's two risks. Asked about AI causing societal havoc, Scott says he isn't worried about the technology or its misuse so much as the principal risk in the trillions of capital now concentrated in AI stocks; Tom calls that naive and predicts Scott will regret it within a year. Later, discussing Nvidia's new platform to stop AI agents escaping their sandboxes — launched after breaches at Hugging Face and an Australian government agency led OpenAI to pause training and prompted lawmakers to float a federal kill switch — both hosts say the question is outside their expertise, leaning toward "growing pains" without conviction. A caller who works as an engineer rejects any kill switch outright, favoring industry regulation over a government shutoff.

Buying power discipline. A caller running an all-cash, naked-put portfolio on blue-chip tech at 50-80% buying power on portfolio margin is told to keep the strategy but cap an all-short-puts PM account at 40-50%, the top of Tom's own range. Buying stock and selling calls against it carries the same risk graph as the naked puts with a lower probability of profit, so there's no need to own shares at all.

Trades and a product pitch. Scott runs four trades: a short 99 put in bonds (IV rank 85, 82% probability of profit, $844 credit); an Apple October pre-earnings call spread not to chase; an SLV double-ratio ("Batman") spread for a $1.15 credit; and a Costco put ratio with a 93% probability of profit, offering a broken-wing version for anyone uncomfortable with the naked downside. Between trades, the hosts pitch Market Map, a free AI-driven tool mapping relationships among 5,000-plus listed companies from over a million notes drawn from 10-Ks — a described feature, not a demonstrated result.

Bonds are the trade. Tony frames the day around the 10-year yield at 5.25%, up 125 basis points in a few months to a 19-year high; the nearest comparison, the 2013 taper tantrum, saw stocks fall 6% then rally 15% the same year — proof, both hosts say, that directional macro calls are close to useless. The number that matters: bond IV rank near 87 against roughly 29 in the S&P, about three times the premium-selling opportunity. Follow-up calls cover mechanics — collecting about a third of spread width in credit for a directional trade, less for a neutral one, with a 20% floor — and a reminder that "butterfly" and "ratio spread" name option payoff structures, not chart patterns.

Small caps. The Russell 2000 is down 4% over the past month against roughly 1% in the S&P and nearly 3% in the NASDAQ. Its correlation to the 10-year yield is about five times the NASDAQ 100's (roughly 0.5 versus 0.1): small-cap companies borrow at higher rates to fund growth, while NASDAQ's largest names sit on cash piles that now earn more as rates rise.

Managing a losing zero-DTE trade. The show closes on the title's question: an iron condor sold near the open stays inside its expected range, but a fast intraday rally puts the call side underwater. The rule is to never add contracts, since the position is already at its intended size; instead roll the losing spread closer to cut delta, or hold if the move reads as a momentary blip. There's no single right answer, both hosts agree — only the wrong one of doubling down.

  • Founder super-voting control should shrink as ownership falls, one host argues. Alphabet's Page and Brin hold 52.7% voting control on under 12% ownership — about $500 billion of Alphabet's $4.19 trillion market cap — via a structure common at IPO. Tom says he'd want the same protection himself after prior successful exits, while Scott says as an investor he'd never grant it, calling the lack of an expiration a misalignment.
  • Never add contracts to a losing zero-DTE trade, only adjust. When an iron condor's tested side is losing ground to an intraday rally while the underlying stays inside its expected range, the hosts say to roll the losing spread closer to cut delta, or sit tight if the move looks like a momentary blip — but never increase size once you're already at your position limit.
  • Small caps are getting hit by rising rates, not sentiment. The Russell 2000 fell 4% over the past month while the S&P rose about 1% and the NASDAQ nearly 3%. Its correlation to the 10-year yield runs roughly five times the NASDAQ 100's (about 0.5 versus 0.1), because small caps borrow at higher rates while NASDAQ's mega-caps sit on cash hoards that now earn more.
  • An AI kill switch is the wrong fix, an engineer caller argues. Discussing Nvidia's new platform to stop AI agents escaping their sandboxes — launched after breaches at Hugging Face and an Australian government agency prompted OpenAI to pause training and lawmakers to float a federal kill switch — the hosts call themselves unqualified to judge systemic risk versus growing pains; caller David, an engineer, rejects any kill switch and wants industry regulation instead of government control.
Stock TokThe StockTok Summary
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Master InvestorMichael Hartnett: Why Midterms Matter For Markets
  • A Democratic sweep of Congress would hit stocks. He expects roughly a 10% dip over the following two to three months if Republicans lose both the Senate and House, versus a quick move into "bubble phase" if the GOP holds the Senate.
  • The Texas governor's race is the contest smart money is really watching. Despite Governor Abbott's economic boom and heavy AI data-center investment, polls show him only narrowly ahead of an unknown Democratic challenger (48% to 45%) whose entire campaign is opposition to data-center expansion.
  • A Democratic win in November would signal a backlash against AI. He argues it would push 2026 presidential candidates toward campaigning against data centers, which he expects would trigger major reversals in both big tech stocks and the dollar — comparing the risk to the social upheaval, including worker strikes, that ultimately ended the 19th-century railroad boom.
Loss DogBond Market Shock: Inflation Fears & Rate Hike Reality #bondmarket #economy #finance #market
  • A small rise in inflation expectations is being read as a signal of more hikes to come. One host says a half-point jump matters less for what it shows in current data than for the fear it triggers that at least two more rate hikes are coming — a case, he says, where perception becomes reality.
  • Rapid-fire bond trades show how fast sentiment flipped from hero to underwater. One host sold bonds at 108, bought them back at 106.24 believing he'd won, then watched them fall further into the 103.18-103.20 range and added to the position there.
  • The selloff is framed as a loss of confidence in the US, not just a rates story. With the bond market sized at $50-70 trillion, one host calls the move "an indictment of America" and says it didn't have to happen, without elaborating why.
Loss DogAI Career Exposure, October predictions & 7 new features: This is what's new on the Lossdog platform
  • Lossdog pitches an AI tool that flags which part of a job AI threatens first. Built with the nonprofit Just AI Foundation, the "AI Career Exposure" feature is described as analyzing a user's resume to show where AI could pressure or reshape their role and which skills might hold up, found under career and analytics.
  • The episode also promotes a monthly prediction contest and seven new platform tools. Viewers are invited to forecast October's SPX, oil, Bitcoin and presidential-approval levels for rewards, and told seven unspecified new features have been added — both promotional pointers rather than content.
Loss DogStock BuyBacks, Bonds, Broken Wing Butterflies and Bitcoin | 9.28 | One Lucky Dog
synopsis

This is a risk-off Monday in which nearly everything is down at once — stocks, gold, silver, and especially bonds — and the hosts spend the show arguing that the bond market's yield spike, not the stock selloff, is the real story. They end up defending a trillion-dollar year of stock buybacks as rational rather than lazy, framing surging Treasury yields as both a genuine economic threat and, paradoxically, a rare buying opportunity in bonds themselves, while walking through a long run of viewer and caller questions on options mechanics.

The open. With the S&P and NASDAQ down and gold and silver off roughly 3.5–5%, Tom describes his own book: short NASDAQ, long bonds and notes, deltas roughly offsetting. He and Scott have a running bet on whether bonds trade to the "100 handle," and by air time it's already happening faster than either expected, with notes trading into the 103 range. Tom flags Wednesday's Micron earnings (expected move about $200) and Meta's roughly $100 expected move into November as the week's key catalysts, alongside a missed attempt to buy gold under $4,200 overnight.

Question of the day: are buybacks an admission of failure? Tom argues no — with S&P 500 buybacks pacing over $1 trillion in 2026 and Nvidia alone lifting its authorization by $150 billion to $235 billion, companies buy back stock because growth investors don't want dividends and good acquisition targets are scarce and often overpriced. He calls it the easiest and safest use of excess cash, though he adds that IBM and General Motors have bought back stock for 80 years without it reliably working, and Costco's occasional special dividend shows there is an alternative.

Mechanics from the dog pound. Viewer questions cover: no difference in fills across brokerages for roll trades if the platform supports rolling; strangles should always be entered as one trade, not legged, since legging risks small gains and large losses ("eat like a bird, poop like an elephant"); positions should be sized off expected move and delta, not price targets, which Tom calls "kind of a joke"; zero-DTE strangles not working should close by 11:00 a.m. Central, after which risk rises sharply; and with IVR at zero, the hosts favor directional trades over premium selling.

The Lost Dog feature of the week is a straightforward product pitch: a new interactive video sandbox under the platform's Learn tab that lets users manipulate price, volatility, time and strikes for each strategy video, plus a newly relaunched "DogAI" tool, both described as free additions to the Lost Dog software.

More viewer questions and Tom's trades. On a range-bound SPX, Tom suggests selling premium further out in time, just outside the range; a beginner's 45-DTE, $10-wide XSP iron condor plan is validated as "by the book." Tom's own trades: short EUR/USD (6E) 113 puts, a contrarian play after the euro fell 10 of 12 days; a November Micron iron condor (short the 800/790 put spread) sized to Wednesday's earnings; a similar Meta iron condor; and a GLD trade — short puts against a call spread, an 80% probability-of-profit position — entered into gold's roughly 3.5% selloff.

Caller Chuck describes a large one-day options loss in MU amid markets three to four dollars wide, forcing him into long stock near $198. The hosts disagree on the fix: Tom would sell shares to flatten delta and hold to expiration, while Scott would look to exit the position sooner.

Scott's arrival brings a tangent on buyback scale — a query to Claude on how many U.S. companies are worth Nvidia's $235 billion authorization turns into a debate over whether Nvidia should instead diversify, which Tom dismisses as harder than it sounds.

Geopolitics gets treated as background noise: the hosts call the U.S.-China summit's two-month tariff truce a non-event, with no chip deal and no delivered soybean purchases, and name the "Panda Express" FedEx flight for the two zoo pandas the day's real highlight. Tom calls Treasury Secretary Scott Bessent incompetent and dishonest, and both expect volatility to build into the midterms.

Callers round out the middle of the show: Loki asks about near-par bond yields, drawing the "extreme overbought/oversold setup" answer, with a partial rotation into 5%-plus risk-free yield suggested over abandoning stocks; Sean's question on VIX as a fear gauge gets agreement, though near 16–18 it isn't historically elevated; Barat on mechanical stop rules is told the optimal stop is roughly 2x the credit received, but the edge over doing nothing is "tiny"; and new trader Bobby, learning via AI, is told this may be the best era yet to learn, given free content and AI explanation, though screen time still matters most.

The Treasury yield discussion is the show's central thread: the 10-year hit roughly 5.25%, its highest level since an unnamed conflict began and up from under 4% beforehand. Tom insists the bond market itself is the problem, not merely anticipating one, and that it now functions as the real measure of the economy's health, ahead of stocks. Consumer inflation expectations have risen to 4.6%, and the hosts float the possibility of a half-point Fed hike in November.

Bitcoin's dominance fell below 60% of crypto market value as altcoins including Stellar and Solana rallied; the hosts attribute this partly to Bitcoin's own earlier pullback creating room for rotation, with Tom staying long crypto through the recent dip.

Closing questions cover why a trader would choose a broken wing butterfly (defined risk, capital efficiency) over a ratio spread (higher probability of profit, unlimited risk); a reiterated skepticism toward stop-losses generally, including for 0DTE and weekly positions, where Tom argues smaller sizing matters more than stops; and brief, uncommitted takes on the Paramount-Warner Brothers merger and on flipping from long to short when a thesis changes.

  • Record buyback spending reflects a lack of better options, not folly. Tom argues S&P 500 buybacks pacing near $1 trillion in 2026, including Nvidia's $235 billion authorization (a $150 billion increase), stem from companies having few good acquisition targets and no investor appetite for dividends. He still concedes IBM and General Motors have bought back stock for 80 years and "it doesn't always work."
  • The bond market, not stocks, is signaling the real danger. Tom says the 10-year yield's spike to about 5.25%, up from under 4% before an unnamed conflict began, isn't "front-running" a problem but is itself the problem, warning that if stocks catch up to bond-market pricing "it's going to get ugly." He and Scott are positioned short NASDAQ and long bonds/notes on that view.
  • Near-par bond yields are framed as a rare contrarian opportunity. Responding to caller Loki, the hosts call yields nearing the "100 handle" — last seen around 2000 — one of the most overbought/oversold setups in years, suggesting investors could rotate some stock-market gains into a roughly 5.5% risk-free return while keeping the rest invested rather than exiting equities entirely.
  • Hosts split on managing a caller's forced stock position. Caller Chuck, hit by a large one-day loss in MU options amid three-to-four-dollar-wide markets, ended up long stock near $198 a share. Tom says sell shares (for example, 34 to offset 34 extra deltas) to keep delta flat and hold to expiration, while Scott would look to exit the whole position sooner.