Podcast trade ideas

Prof G Markets

Democrats Won Big — Now Comes The Hard Part

Nov 14, 202629h

This episode is a political commentary by Ed Elson on the Democrats' 2026 midterm sweep, not a markets discussion. The only market-adjacent points are structural policy arguments: he calls for reversing tariffs and the war to lift real wages, wants sweeping housing deregulation and tax-code reform, and proposes banning individual stock trading by members of Congress and breaking up big tech. No specific stock, ETF or asset is recommended or traded, so there are no actionable investment picks.

No actionable calls in this episode

Prof G Markets

Here’s What It Will Really Take To Fix America’s Economy — ft. Kathryn Anne Edwards

Nov 13, 202653h

Economist Kathryn Anne Edwards joins Prof G Markets for a policy-focused conversation on affordability, inequality, taxes, housing, health insurance and AI; there is no direct stock or ETF recommendation. The most market-relevant view is her claim that AI is a bubble propping up the stock market and top-1% consumption, with Democrats needing to be willing to risk a correction—an implicit caution, not an explicit short. No tradable long/short calls are made in the episode.

No actionable calls in this episode

Prof G Markets

The Trillion-Dollar Cover-Up: What Washington Knew About Jensen Huang

Nov 12, 202677h

Ideas · 5

• 19:22NVDAAvoidMcGuire warns of big fallout for Nvidia and its stock from the investigation and governance scandal, though he sees no lost sales since every chip made is still bought. — Chris McGuire-1.1% since episode
  Why this trade

  “Obviously, there's gonna be big fallout for NVIDIA generally and their stock about this whole investigation” — Chris McGuire

  1. McGuire says the Mega Speed/Huang investigation will produce 'big fallout for NVIDIA generally and their stock.'
  2. He notes 20% of traders on Polymarket-style odds think Huang will be out by year-end, adding leadership uncertainty.
  3. Resulting view: near-term headline/governance risk argues for caution even if underlying chip demand is intact.
• 19:00NVDALongMcGuire argues export controls have cost Nvidia exactly zero sales because voracious US hyperscaler demand (SpaceX, Meta, Google, Amazon, Microsoft) absorbs every chip. — Chris McGuire-1.1% since episode
  Why this trade

  “the export controls so far, I would argue, have cost NVIDIA exactly zero sales” — Chris McGuire

  1. He claims 'the export controls so far... have cost NVIDIA exactly zero sales' as all chips are bought.
  2. If flows to Chinese cutouts are cut, Musk, Jassy, Meta and hyperscalers take the supply instead.
  3. Therefore any China-related selloff overstates fundamental demand risk.
• 25:06ANTHROPICAvoidKharazian's data shows Anthropic enterprise spend growth falling to ~0.5% month-over-month with token prices collapsing, an unproven growth story ahead of its IPO. — Ed Elson-3.0% since episode
  Why this trade

  “OpenAI's token spend growth fell to 2.1%, and Anthropix fell to point 5%” — Ed Elson

  1. Ramp data shows Anthropic token spend growth fell to 0.5% in October and enterprise engineering spend is plateauing.
  2. Revenue is highly concentrated in a handful of correlated VC-backed startups, a fragility risk.
  3. He questions whether 'recurring' ARR is real when customers shift spend easily — a cautious stance into the IPO.
• 25:06OPENAIAvoidKharazian notes OpenAI token spend growth slowed to 2.1% and prices per million tokens fell ~15% as competition from SpaceX AI and Meta intensifies. — Ed Elson-0.4% since episode
  Why this trade

  “OpenAI's token spend growth fell to 2.1%” — Ed Elson

  1. Ramp's AI index shows OpenAI token spend growth down to 2.1% month-over-month and roughly flat since August.
  2. Price war is compressing revenue per token, and new rivals with compute advantages are emerging.
  3. This points to slowing monetization momentum for the private lab.
• 28:49METALongKharazian flags Meta as a likely future AI-spend share gainer given its compute access, expanding the race beyond OpenAI and Anthropic. — Ara Karazian+0.8% since episode
  Why this trade

  “That's gonna be Meta. They're not big players in terms of AI spend today by businesses.” — Ara Karazian

  1. He says the two-way OpenAI/Anthropic race will become a four-way race including SpaceX AI and Meta.
  2. Meta's compute access gives it an advantage in building frontier models and winning enterprise share.
  3. Meta is therefore a structural beneficiary of AI competition and price collapse.

Prof G Markets

Nvidia Has Lost $1.5 Trillion — Is The Worst Still To Come?

Nov 11, 2026101h

DA Davidson's Gil Luria says Nvidia carries the highest risk among semis given the Jensen Huang scandal and possible China funneling, while favoring Broadcom, AMD and Micron as better risk-reward semis; he explicitly says stay away from CoreWeave, whose economics are a negative carry trade. Host Ed Elson sees the Anthropic IPO price cut as evidence AI euphoria is ending, and economist Justin Wolfers expects more Fed rate hikes as inflation proves persistent.

Positions · 5

• 11:32NVDAAvoidLuria says Nvidia is now the highest-risk semi because of investigation and succession uncertainty, so it must move down the priority list despite the cheap multiple. — Gil Luria-8.3% since episode
  Why this trade

  “NVIDIA just has to go down the priority list based on the fact that you have this much uncertainty right now.” — Gil Luria

  1. Luria argues the scandal could reveal Asia revenue funneled to China plus no succession plan for Jensen Huang.
  2. That uncertainty raises the risk premium on NVDA relative to other semis.
  3. Result: deprioritize Nvidia versus Broadcom, AMD and Micron.
• 10:38AVGOLongLuria calls out Broadcom as a semi with lower risk than Nvidia and still high reward, growing 50-100% next year at a low multiple. — Gil Luria-2.0% since episode
  Why this trade

  “There are other semis where the risk is lower and the reward is also high. Broadcom, AMD, Micron.” — Gil Luria

  1. Luria claims the data center buildout continues and Broadcom grows 50-100% next year.
  2. Broadcom trades at a low forward multiple on that growth and lacks Nvidia's scandal exposure.
  3. Result: better risk-reward long versus Nvidia.
• 10:56AMDLongLuria names AMD among semis with lower risk and high reward, growing 50-100% next year without Nvidia's specific scandal risk. — Gil Luria-4.7% since episode
  Why this trade

  “Broadcom, AMD, Micron. These are also stocks trading at a very big premium to the market... and therefore have a very low multiple” — Gil Luria

  1. Luria claims healthy data center demand supports 50-100% growth for these semis.
  2. AMD trades at a low multiple on that growth and avoids the Nvidia-specific investigation.
  3. Result: favorable risk-reward long.
• 10:56MULongLuria cites Micron as a lower-risk, high-reward semi growing 50-100% next year if the data center buildout continues. — Gil Luria-1.1% since episode
  Why this trade

  “Broadcom, AMD, Micron. These are also stocks trading at a very big premium to the market” — Gil Luria

  1. Luria claims memory demand from the AI buildout drives strong growth.
  2. Micron trades at a low multiple on that growth and lacks Nvidia's scandal exposure.
  3. Result: better risk-reward long than Nvidia.
• 15:21CRWVAvoidLuria says CoreWeave earns 3% on investment against a 9%-plus cost of capital even in the best compute market ever, and the Nvidia bailout put disappears without Jensen Huang — stay away. — Gil Luria-9.4% since episode
  Why this trade

  “So, yes, absolutely stay away from CoreWeave.” — Gil Luria

  1. Luria calculates negative carry: 3% return on investment versus over 9% cost of capital.
  2. CoreWeave says it can no longer tap unsecured debt and must raise equity or prepayments.
  3. With Jensen Huang possibly out, the implied Nvidia backstop goes away — avoid the stock.

Ideas · 1

• 34:03ANTHROPICAvoidElson argues Anthropic's IPO price cut to $1.3T from $2T shows public-market AI exuberance is fading and the era of AI euphoria is ending. — Ed Elson-3.0% since episode
  Why this trade

  “this new IPO price is evidence that the era of AI euphoria is about to come to an end” — Ed Elson

  1. Elson notes Anthropic lowered its IPO target from $2T to $1.3T, a ~40% cut.
  2. Listed AI names like Nvidia, Broadcom, Micron and SK Hynix have seen multiples halved.
  3. Result: private AI valuations must converge toward public comps.

Prof G Markets

Scandal At Nvidia: Is This The End For Jensen Huang?

Nov 10, 2026125h

The episode discusses the scandal around Nvidia CEO Jensen Huang's admitted affair with a woman US officials believe is a Chinese spy, which sent Nvidia shares down 4-8%. Guest Robert Armstrong lays out conditions for whether the AI trade has truly topped (solid macro, hyperscaler capex confidence, bond market) and predicts Huang likely cannot survive as CEO. The most actionable read is caution on Nvidia given governance and China export-control overhang, with the AI-data-center complex broadly at risk.

▶Watch on YouTube

Ideas · 2

• ▶ 33:19NVDAAvoidArmstrong thinks the Jensen Huang China-spy scandal is hard to come back from and it's a 'very difficult situation' for Nvidia and his remaining CEO, with strengthened export controls a likely headwind. — Robert Armstrong-12.0% since episode
  Why this trade

  “this is a very difficult situation, for NVIDIA and for him remaining as the CEO.” — Robert Armstrong

  1. Armstrong says Huang's affair crossed the US-China geopolitical line and expects export controls to be strengthened, threatening Nvidia's China business.
  2. He bets Huang 'can't be left as the solo pilot' and governance risk now matters given the flat org with ~60 direct reports.
  3. Resulting stance is caution/avoid on NVDA until facts and succession are clear.
• ▶ 31:18AI data center buildout theme (hyperscalers/chipmakers)AvoidArmstrong flags that any hyperscaler signaling lower data center capex would be 'an awful moment' that could pop the AI bubble, and 46 of 47 local data center ballot measures failed last week. — Robert Armstrong–
  Why this trade

  “if one of the hyperscalers comes out one of these days and says... Maybe we're gonna spend a little less on these data centers... That is gonna be an awful moment” — Robert Armstrong

  1. Speaker claims data centers lost 46 of 47 ballot initiatives, showing public resistance that hit AI stocks.
  2. Armstrong says expressions of lost confidence in hyperscaler capex plans would be very dangerous for the trade.
  3. Resulting view is caution on the AI data center buildout complex broadly rather than a specific ticker.

Prof G Markets

Why Stocks Had Their Best Day Of The Year — Then Their Worst

Nov 9, 2026149h

Scott Galloway and Ed Elson (Speaker 3) discuss the market whipsaw after Democrats swept Congress—a relief rally followed by a tech-led selloff—and argue the durable read-through is a populist backlash against data centers. They frame the selloff as an 'AI break, not a market break,' favoring hyperscalers (Microsoft, Alphabet, Amazon) over levered neoclouds (CoreWeave, Nebius, IREN) that were crushed. Galloway predicts above-average S&P 500 returns over six months (the 20-for-20 Senate-flip pattern) and Elson expects sensible rather than hostile AI regulation.

Positions · 1

• 1:14:08SPYLongGalloway predicts the 20-for-20 pattern holds—when Democrats take the Senate, markets average 12% gains—so he expects above-average S&P returns over six months. — Speaker 0+1.5% since episode
  Why this trade

  “my prediction is we're gonna go '21 for '21, and in the next six months, we're gonna see an above above average returns in the S and P.” — Speaker 0

  1. Galloway cites Deutsche Bank analysis: Senate flips to Democrats 20-for-20 preceded strong market gains averaging 12%.
  2. That maps directly to broad S&P 500 exposure.
  3. His prediction: '21 for 21,' above-average S&P 500 returns over the next six months.

Ideas · 9

• 21:00MSFTLongGalloway says big tech like Microsoft are diversified AI plays that would be fine even if AI is overhyped, offering downside protection versus levered compute names. — Speaker 0-3.1% since episode
  Why this trade

  “AI could end up being vastly overhyped and be like the railroads, and they would still be fine.” — Speaker 0

  1. Galloway: AI could be overhyped like railroads, but Microsoft would 'still be fine' on its core businesses.
  2. Microsoft rallied 6.5% to an all-time high post-election and owns Azure AI exposure plus stakes such as OpenAI.
  3. Rotate from levered neoclouds into diversified AI hyperscalers for exposure with downside protection.
• 21:22GOOGLLongFramed as an AI play with downside protection: even if AI disappoints, people still buy Google search and YouTube ads. — Speaker 0+1.2% since episode
  Why this trade

  “People are still gonna be buying Google search ads and YouTube ads and PowerPoint.” — Speaker 0

  1. Galloway argues big tech 'would still be fine' because search/YouTube ads persist regardless of AI.
  2. Alphabet is one of the diversified hyperscalers cited as the safer way to play AI.
  3. Take exposure via Alphabet rather than levered compute names.
• 19:21AMZNLongListed alongside Microsoft and Google as a diversified hyperscaler and AI play that rose post-election rather than falling with the levered compute names. — Speaker 3+0.6% since episode
  Why this trade

  “You actually had significant increases in Google, Amazon, Microsoft rose six and a half percent on the day off the election” — Speaker 3

  1. Galloway groups Amazon with the big tech names that are safer AI exposure.
  2. Amazon was cited as rising on election day while neoclouds plummeted, showing investor preference for diversified AI buyers of compute.
  3. Prefer these 'buyers of compute' over 'sellers of compute.'
• 18:41CRWVAvoidNamed as an extremely levered data-center/neocloud 'levered trade to AI' that plummeted on anti-data-center election results and is most exposed to a slowdown. — Speaker 3+13.4% since episode
  Why this trade

  “the extremely leveraged data center names, so the Neo Clouds, CoreWeave, Nebius, Iron, absolutely tapped. Just fell through the floor” — Speaker 3

  1. Elson says 'all of the extremely leveraged data center names, so the Neo Clouds, CoreWeave, Nebius, IREN, absolutely tapped' and fell through the floor.
  2. Galloway frames these as levered AI trades, 'times three or times negative three.'
  3. The data-center permits losing 40 of 41 measures hits the least-diversified compute suppliers hardest—avoid.
• 1:13:44NBISAvoidLumped with CoreWeave/IREN as a levered neocloud that got crushed and faces the most direct hit from data-center backlash. — Speaker 3-11.6% since episode
  Why this trade

  “Core Weave, Nebius, Cerebras. Those guys have gotten crushed.” — Speaker 3

  1. Elson lists Nebius among the leveraged data-center names that 'absolutely tapped.'
  2. Galloway calls these 'levered trades to AI'—the least diversified to a compute-supply choke.
  3. Anti-data-center votes and pending Nebius earnings keep this levered name at risk.
• 18:41IRENAvoidCited among the leveraged neocloud/compute names that plummeted post-election as the data-center supply outlook worsened. — Speaker 3-18.2% since episode
  Why this trade

  “the Neo Clouds, CoreWeave, Nebius, Iron, absolutely tapped” — Speaker 3

  1. Elson names 'Iron' (IREN) among the levered data center names that fell through the floor.
  2. Galloway: the least diversified to data-center supply got hit hardest.
  3. Avoid the highest-leverage AI compute plays amid permitting risk.
• 37:33SPCXAvoidPrivate SpaceX is down 11% on the week and investors fear it's 'screwed' with Texas turning blue; Galloway warns Democrats would be stupid to be punitive but pressure could rise. — Speaker 3+2.0% since episode
  Why this trade

  “investors are very worried about that one, down 11% SpaceX on the week. They they think SpaceX is screwed.” — Speaker 3

  1. Elson: 'investors are very worried about that one, down 11% SpaceX on the week.'
  2. Galloway: Texas is now blue and there are 'a lot of reasons why SpaceX might come under pressure.'
  3. Risk of punitive politics around space/Starlink weighs on the private name.
• 1:08:01AAPLLongGalloway praises Apple for deciding not to get into the AI race—'it's about what they don't do'—and notes its stock is up more than any Mag 7 name this year. — Speaker 0+3.2% since episode
  Why this trade

  “Look what Apple decided not to do, not to get into the AI race. Their stock is up more than any any of the Mag seven this year.” — Speaker 0

  1. Galloway: 'Look what Apple decided not to do, not to get into the AI race.'
  2. He states Apple's stock is up more than any of the Mag seven this year as a result.
  3. Capital discipline on CapEx makes Apple an attractive Mag 7 name.
• 17:17USOLongElson pushes back on the market's bet that the Iran war ends soon—oil fell 8% on election—saying 'I don't think so personally,' implying oil could rebound. — Speaker 3-1.2% since episode
  Why this trade

  “And right now, investors are betting yes. Is that the right bet? I don't think so personally” — Speaker 3

  1. Elson: investors betting on a swifter end to the war drove oil down 8%.
  2. He disagrees: 'Is that the right bet? I don't think so personally.'
  3. If the war doesn't end quickly, crude is undervalued—constructive on oil.

Prof G Markets

The AI Boom Is Running Out Of Easy Money

Nov 7, 2026197h

Ideas · 6

• 2:54ANTHROPICAvoidIts rosy loss-narrowing is a red herring: ~$895B of compute commitments (~$437B noncancelable) mean it will be more unprofitable than ever and is raising ~$100B only to pay bills. — Speaker 3-0.8% since episode
  Why this trade

  “Not only will Anthropic not be profitable next year, it will likely be more unprofitable than ever before.” — Speaker 3

  1. Anthropic's amended S-1 shows ~$895B purchase commitments, ~$70B due in 12 months, with ~$437B noncancelable.
  2. Compute bills exceed $100B/year vs $19B spent this year, so profitability narrative collapses and it needs the IPO for financing.
  3. Host says investors will be asked to fund massive losses as the credit cycle turns, so the stock is set up for disappointment.
• 4:23AVGOAvoidAnthropic → Anthropic's ~$437B of noncancelable compute commitments are tied to Broadcom contracts described as 'absolute and unconditional' - the counterparty exposure matters if Anthropic can't pay as capital gets scarce. — Speaker 3+13.7% since episode
  Why this trade

  “Some $437,000,000,000 of that spending is noncancelable with Broadcom describing its contract terms as, quote, absolute and unconditional.” — Speaker 3

  1. Host notes ~$437B of Anthropic's compute spending is noncancelable, with Broadcom describing its contract terms as 'absolute and unconditional'.
  2. That makes Broadcom the committed supplier holding the counterparty risk/obligation as Anthropic's losses balloon.
  3. If Anthropic can't fund the commitments, the contract's 'unconditional' nature becomes a credit and demand risk rather than a clean win.
• 6:41MSFTLongMicrosoft is the one hyperscaler still not cash-flow negative after the AI spending spree, making it the relative safe haven among big-tech AI capex payers. — Speaker 3-2.3% since episode
  Why this trade

  “every hyperscaler aside from Microsoft is now cash flow negative” — Speaker 3

  1. Host says due to ~$800B of AI spend this year, every hyperscaler aside from Microsoft is now cash-flow negative.
  2. Microsoft also completed one of the most sought-after debt offerings on record, showing continued easy access to capital.
  3. Relative free-cash-flow resilience versus peers supports a relative long within AI hyperscalers as the cycle tightens.
• 9:18CRWVAvoidCoreWeave's bond yields exploding to 15% and neocloud valuations halving is the clearest sign the AI credit 'music' is going out of tune, a warning for leveraged GPU-cloud names. — Speaker 3+8.8% since episode
  Why this trade

  “In the past month, CoreWeave's bond yields have exploded to 15%, and many neo clouds have seen their valuations get cut in half.” — Speaker 3

  1. Host notes CoreWeave bond yields have exploded to 15% over the past month and many neoclouds saw valuations cut in half.
  2. Rising funding costs for a leveraged compute provider squeezes the business model as capital gets scarcer.
  3. This is cited as evidence the easy-money AI trade is fading, arguing to avoid the name.
• 6:08METAAvoidMeta plans another $60B equity offering in 2027 on top of heavy AI capex, diluting shareholders as big tech shifts from self-funding cash cows to serial capital raisers. — Speaker 3+3.3% since episode
  Why this trade

  “Meta has planned another $60,000,000,000 equity offering in 2027” — Speaker 3

  1. Meta has already raised ~$25B in stock (five times oversubscribed) and plans another $60B equity offering in 2027.
  2. Host says AI capex has pushed hyperscalers (aside from Microsoft) to negative free cash flow, forcing them to ask investors for money.
  3. Serial equity issuance plus capex risk makes the stock vulnerable when investor generosity fades.
• 9:46OPENAIAvoidOpenAI just slashed its funding target by $10B, evidence that AI exuberance is cooling and private AI labs will struggle to raise at prior expectations. — Speaker 3-2.0% since episode
  Why this trade

  “And OpenAI just slashed its funding target by $10,000,000,000.” — Speaker 3

  1. Host cites OpenAI cutting its funding target by $10B as a sign exuberance is lower than previously anticipated.
  2. No pure-play LLM maker has shown it can make more than it spends, and credit conditions are tightening.
  3. Lower funding availability pressures the private AI lab's ability to fund compute buildout.

Prof G Markets

Is This The End Of MAGA? — ft. Anthony Scaramucci

Nov 6, 2026221h

Scaramucci frames the Democratic sweep as a market-positive gridlock outcome, arguing from Stock Trader's Almanac history that mixed government has been better for stocks and bonds by blocking extreme policy. The most actionable signal is a policy-driven risk to AI data-center buildout (local ballot bans, power bills), which briefly hit leveraged neocloud names while the broad indices rallied on the election result. He also flags a mixed government bias toward lower yields/risk premia and possible Trump tariff reversals.

Ideas · 4

• 27:53SPYLongScaramucci says mixed government—Democratic Congress with a Republican presidency—has historically been bullish for stocks because gridlock stops extreme policy. — Anthony Scaramucci+1.5% since episode
  Why this trade

  “anytime you get in a situation like this, it's been better for the stock and bond market.” — Anthony Scaramucci

  1. Claims Stock Trader Almanac back to 1896 shows split government has been 'better for the stock and bond market'.
  2. Democratic sweep plus Trump presidency creates the gridlock he describes, lowering extreme-policy risk premia.
  3. Trade the broad index as a beneficiary of divided government.
• 28:04TLTLongScaramucci cites Deutsche Bank's view that divided government caps extreme policy outcomes and brings down risk premia, after yields spiked to over 4.9%. — Speaker 6-3.4% since episode
  Why this trade

  “should act as a break on extreme policy outcomes and bring down risk premia.” — Speaker 6

  1. He notes Treasury yields went from 3.96% pre-war to over 4.9%, peaking in the 5.30s.
  2. Deutsche quote he reads: Democratic majority plus Trump cooperation 'should act as a break on extreme policy outcomes and bring down risk premia'.
  3. Falling risk premia/yields supports long-duration Treasuries.
• 28:34AI data-center buildout (neoclouds)AvoidScaramucci says data centers are widely unpopular and AI is now a political liability, so the fully levered neocloud names carry policy risk. — Anthony Scaramucci–
  Why this trade

  “the AI boom was supposed to be the GOP's economic story, but it ended up on the ballot as somebody's utility bill.” — Anthony Scaramucci

  1. He says 'the AI boom was supposed to be the GOP's economic story, but it ended up on the ballot as somebody's utility bill'.
  2. 33 ballot measures restricted data centers vs one pro-data-center measure, and specific neocloud names sold off.
  3. Avoid the most leveraged pure data-center plays facing local restriction risk.
• 11:16Trump policy reversal (tariffs / war)LongScaramucci thinks Trump, a transactionalist, could reverse tariffs or wind down the war, decisions that carry trillions in market value. — Speaker 6–
  Why this trade

  “if he does say, okay, no more tariffs. We're gonna get out of Iran. Those are decisions that carry trillions and trillions of dollars of market value” — Speaker 6

  1. He says Trump is 'a transactionalist' and polls show tariffs hurt border-state Republicans.
  2. A reversal on tariffs or exiting the war would cut input/energy costs and borrowing costs.
  3. Position for upside if policy pivots rather than doubles down.

Prof G Markets

Democrats Sweep Congress — And Stocks Explode Higher

Nov 5, 2026245h

Prof G Markets covers the Democratic congressional sweep and its market implications, with host Ed Elson noting indices jumped, oil fell ~10% on hopes of winding down the Iran war, and AI/data-center names diverged sharply. Guest Katherine Rampell frames the result as a repudiation of Trump's tariffs and war, which could reduce policy uncertainty. Assemblymember Alex Boris argues voters want data-center guardrails but that a total crackdown is unlikely, suggesting markets may be overreacting to neocloud selling, while big tech is seen as benefiting from a lighter regulatory touch.

Ideas · 4

• 25:11Big Tech basket (Apple, Alphabet, Amazon, Microsoft, Meta)LongBig tech added nearly a trillion dollars in value as investors bet data-center curbs hit neoclouds but not the incumbents' profits. — Speaker 3–
  Why this trade

  “big tech companies like Apple, Alphabet, Amazon, Microsoft, and Meta added nearly a trillion dollars in market value” — Speaker 3

  1. Host says large-cap tech rose as neoclouds fell after the election.
  2. Market appears to price data-center regulation that doesn't threaten tech company profits.
  3. So the trade favors big tech over pure-play data-center builders.
• 25:11CRWVAvoidNeoclouds sold off hard as investors bet Democratic data-center restrictions will curtail new capacity for pure-play builders. — Speaker 3+7.6% since episode
  Why this trade

  “Neo clouds like CoreWeave, Oracle, and iRen all ended the day deep in the red.” — Speaker 3

  1. Host notes neoclouds like CoreWeave ended deep in the red post-election.
  2. Their only business is building data centers, directly exposed to local restrictions.
  3. Boris agrees markets may be overreacting but the selloff reflects regulatory risk.
• 25:11ORCLAvoidOracle was grouped among neoclouds that fell on election results as data-center construction faces new local restrictions. — Speaker 3-0.5% since episode
  Why this trade

  “Neo clouds like CoreWeave, Oracle, and iRen all ended the day deep in the red.” — Speaker 3

  1. Host lists Oracle among neoclouds that sold off.
  2. Data-center siting is a growing political constraint after 30+ restrictive local measures passed.
  3. Boris says levered builders face outsized impact from any delay.
• 1:27BBRENTShortOil fell ~10% as markets priced a higher chance of winding down the Iran war, though Rampell questions whether that is executable. — Speaker 3-2.0% since episode
  Why this trade

  “Brent crude dropped 8% to $95 per barrel.” — Speaker 3

  1. Brent dropped 8-10% post-election on hopes the war ends.
  2. JD Vance blamed the war for GOP losses, signaling appetite to wind down.
  3. Rampell cautions Iran's Hormuz leverage makes the outcome uncertain.

Prof G Markets

Tom Lee: The Correction Is Over — Stocks Are About To Surge

Nov 4, 2026269h

Tom Lee of Fundstrat argues the Nasdaq's ~10% correction is over and expects a sharp year-end rally, forecasting the S&P 500 at 8,200-8,400 and the Nasdaq 100 (QQQ) to rally at least 15% into year-end; he dismisses AI bubble worries and sees downstream AI winners mattering more than frontier labs. Separately, Patrick McGee gives a balanced read on Apple (down post-earnings on soft margins and iPhone Duo cracking issues but still remarkably resilient), while Ed Elson questions Apple's rich 36x valuation and lack of a new growth product.

Positions · 2

• 4:08QQQLongLee says the Nasdaq is in the same oversold spot as after the prior 12% selloff and expects the triple-Q to rally at least 15% by year-end. — Tom Lee-2.6% since episode
  Why this trade

  “the triple q, is gonna do at least a 15% rally between now and year end.” — Tom Lee

  1. Lee claims the 11% correction has bottomed just like the prior situational-awareness selloff that was followed by a 15% rally.
  2. QQQ directly tracks the Nasdaq 100 that he says is in that oversold position.
  3. Resulting trade: long QQQ into year-end.
• 17:39SPYLongLee says the correction is over and the S&P could reach 8,200-8,400 by year-end, above his prior 8,000 target, as markets enter relief mode post-midterms. — Tom Lee-1.2% since episode
  Why this trade

  “I think we could be at 8,200, maybe even 8,400 by the end of the year.” — Tom Lee

  1. Lee claims we're at the end of the selloff and the rally into year-end will be even stronger than expected.
  2. The S&P 500 is the direct index he is forecasting.
  3. Resulting trade: long S&P 500 exposure (SPY).

Ideas · 3

• 10:53NVDALongLee argues AI is not a bubble and is early, noting Nvidia's ~10x move from ChatGPT's start versus Cisco's 100x, implying more upside. — Tom Lee-23.3% since episode
  Why this trade

  “NVIDIA has been about a 10 x, you know, from its, the start of ChatGPT.” — Tom Lee

  1. Lee claims AI innovation is real and the cycle is early, dismissing bubble comparisons.
  2. Nvidia is the flagship AI hardware beneficiary he cites as only a 10x mover so far.
  3. Resulting trade: indirectly bullish NVDA as AI trade resumes.
• 33:23AAPLAvoidElson questions Apple at 36x forward earnings with slower growth and no clear next big product, while McGee notes the iPhone Duo defects and slow AI execution. — Ed Elson+7.2% since episode
  Why this trade

  “It's trading at 36 times forward earnings, which is by far the most expensive of the big tech companies” — Ed Elson

  1. Elson notes Apple trades at 36x forward earnings, most expensive in big tech, with slower earnings growth and no obvious generational product.
  2. McGee flags Duo cracking, manufacturing issues and no clear AI software strategy.
  3. Resulting trade: cautious/avoid on AAPL at current valuation.
• 31:35AAPLLongMcGee notes Apple plays the safety trade when AI capex fears dominate and its on-device silicon strategy could drive a narrow upgrade super-cycle. — Patrick McGee+7.2% since episode
  Why this trade

  “when markets are bearish on AI, then Apple sort of plays the safety trade” — Patrick McGee

  1. McGee says when markets are bearish on AI spending, Apple looks like the safety trade.
  2. Apple silicon enabling on-device AI models could drive upgrades every two years.
  3. Resulting trade: mild positive on AAPL as AI-capex hedge.