1. Strip the theme out of a cheap thematic name — buy the company, short the ETF
The repeatable method
- Start from the objection, not the idea: when a name is cheap because its sector sold off, you are being asked to take two bets at once — that the company is mispriced, and that the sector stops falling. Separate them explicitly before sizing anything.
- Establish that the company's own results moved up while the price moved down. Not "the stock is cheap" but "the stock fell on a quarter that beat." A beat plus a decline is a flow event; a miss plus a decline is information.
- Identify the thematic index the name is being sold with, and check that a liquid ETF tracks it. The hedge only works if the instrument is tradable at reasonable cost and the correlation is the thing actually driving the drawdown.
- Short the ETF against the long, sized to the beta you want removed, not to the dollar value of the position. What remains is the relative bet: does this company outperform its own theme?
- Only run this where the company-specific case is genuinely idiosyncratic — a market-share position, a design win, a segment inflection. Hedging out the beta of a name whose only merit was the beta leaves you with nothing.
- Prefer the under-followed name inside a crowded theme. The whole point is that the hedge removes the crowded part; what is left should be something the crowd has not priced.
Here: HIMX — "another very cheap name to play the AI tailwind that we're seeing in the market. And frankly, you can hedge with any of the AI ETFs to take out the beta from that name." The beat-and-fall test is passed explicitly: Q2 revenue $227M, +14% sequentially, gross margin 33.1% exceeding guidance, four quarters of declining revenue growth snapped, Q3 guided to $243-250M (+7-11% q/q, +23.8% y/y at the midpoint) with margin to 34% and inventories flat — "its last quarter beat and its stock is down simply because of the AI sell off… the market doesn't seem to be rewarding this strong beat." The idiosyncratic residual is real and nameable: 40% global share of automotive display driver ICs, an auto cycle that "has bottomed," and the WiseEye edge-vision design win where "all of the Meta Ray-Bans use Himax." Asked in Q&A where to add in digital infrastructure, the answer is the process itself: "we're just waiting, and looking at less followed names like Himax."
Watch for
- The financing and borrow cost of the ETF short (it can quietly eat the spread on a small-cap long); the correlation breaking down, which turns a hedge into two unrelated positions; the company reporting with the theme rather than against it, which is your signal the residual thesis has failed; and — the specific tell here — whether smart-glasses unit volumes and the automotive display driver share hold, since those are the only reasons to own the residual at ~30× forward earnings at all.
2. Distinguish a guided timing dip from a guided growth impairment — and buy the first
The repeatable method
- When a company guides a segment down sequentially and the stock breaks, read the stated reason word for word. "Customer spending timing," "order lumpiness" and "pull-forward" are calendar language; "pricing pressure," "share loss" and "demand softness" are not.
- Check the reason against the segment's structure. A high-margin business selling to a small number of large clients on short contracts will be lumpy — that is a known property, not new news.
- Find what analysts did with the guide. If consensus has been reset to a specific, much lower quarterly run-rate, the bar is now the thing to underwrite — you are buying against the revision, not against the peak.
- Build your own full-year number from the segments rather than from the quarter, and value the company off that. Divide the enterprise value by your forward figure, not the trailing one — a fast-growing segment makes trailing multiples structurally misleading.
- Bracket the multiple between the two businesses inside the company: what the growth segment would fetch standalone, and what the declining segment would fetch standalone. If the whole trades near the bad half's multiple, the good half is free.
- Insist on a dated catalyst that arrives before the market has to believe your growth rate — something mechanical and calendared, not a re-rating you have to wait for.
Here: EVC — "management guided for ATS revenue to decrease sequentially from Q2 to Q3 due to normal customer spending timing. This pause in EBITDA growth resulted in a big sell off in the stock," and consensus for Q3/Q4 was cut to $18-25M per quarter. Against that, the segment itself is inflecting hard: ATS revenue +230% to $182M, operating profit +673% to $40M in Q2. His own build: "2026 adjusted EBITDA should be around 100 to 115 million," putting the stock at 7.5-8.5× forward versus a 12-12.4× trailing — "moderately below media industry averages of 10 to 12 times." The bracket is stated outright: "at eight times, EVC is priced at a discount compared to pure play ad tech platforms which often trade above 12 to 15 times forward EBITDA, but at a premium to legacy radio and broadcasters which trade at only four to six times." And the dated catalyst is mechanical rather than narrative: political advertising through Spanish-language stations "in specific states that are the most important in the US when it comes to ad spending during the midterms," landing in H2 of an election year at very high margin. Balance-sheet backstop: $83M of cash and marketable securities; the named risk is the TelevisaUnivision affiliate contract expiring at year end.
Watch for
- The next quarter confirming the reason — if the "timing" revenue does not reappear in the following period, it was demand; the renewal or loss of the affiliate contract, which is a binary on roughly half the company's identity; the 85% growth in cloud costs and sales commissions eating the incremental margin; and, generally, the screen this comes from: every high-growth segment inside a low-multiple parent where the guide-down language is calendar language.
3. Grade an arbitrage against the unaffected price, not the current one — and say when it is finished
The repeatable method
- Find the unaffected price: the last level before any leak, rumour or strategic-review disclosure. That is what the business is worth with no buyer, and it is the denominator for everything that follows.
- Estimate the plausible deal price from the reporting, the comps and the rejected offers — not from where the shares are trading, which already contains the market's guess.
- Write the ratio explicitly: dollars of upside to the expected deal price versus dollars of downside back to the unaffected price. A spread is only interesting when that ratio is favourable, regardless of how confident you are the deal closes.
- Timestamp the rumour cycle. Money is made owning a candidate before a buyer is named; once the acquirer is in print, most of the premium has already been paid to whoever was early.
- When the ratio flips, say so out loud and stop calling it an idea — a closing spread is a position doing its job, not a position to add to.
- Keep a microcap sleeve for the spreads institutions structurally cannot trade, and route those alerts to a real-time channel, because their half-life is days.
Here, four spreads at four different stages. VRNS: rallied 10%+ on Thoma Bravo (via Proofpoint) talks, "no deal price was actually mentioned, but the reporting does seem to suggest a deal is likely." Unaffected 41, high 48, settled 46, plausible bid $50 — so ~$4 up against ~$5 down, and the verdict is honest: "from the lows, this was trading at 20 back in March… there's probably not much upside from here." LPSN: the opposite end — a microcap spread "we thought was an easy layup… we bought it in the 280s. It rallied up to 316 and it looks like the deal has now closed. So that was a very quick, almost like a two-day trade," alerted on the Discord rather than the weekly call. ATAI: pure carry — closing before the open on September 9, halted after hours on the 8th. WBD: finished as a source of return — "the largest spread right now, given the compression in Warner Brothers-Paramount, which would have been long, is NSC/UNP." The book rotates to where the ratio is, not where the conviction is.
Watch for
- The antitrust calendar as the real driver of spread width — this week: LCII (Friday), ROKU 9/8, LNTH 9/17, TECH 9/18, KVUE 9/29 after South African clearance; political opposition as an under-priced regulatory risk (the deck flags "growing republican opposition" to the rail deal); rumours that go quiet for weeks, which usually means terms, not collapse; and the microcap screen specifically, where the spread is wide because of size rather than because of risk.
4. Trade a collapsed takeover as a bounded range with both ends anchored
The repeatable method
- After a bid dies, stop valuing the company as an acquisition and value it as a business. That number is your floor and it must be defensible without any buyer at all.
- Take the ceiling from the board, not from your model. A publicly rejected offer plus the price the board signalled it would accept is a disclosed, negotiated range that the directors are on record defending.
- Buy toward the floor, sell toward the middle, and be willing to do it repeatedly. The trade is the range, not the outcome.
- Enumerate the plausible bidders and, for each, name the specific obstacle. A bidder list without obstacles is a wish; a bidder list with obstacles is a probability estimate.
- Identify what the company can do for itself if nobody bids — buybacks, cost cuts, divesting a discrete asset. That self-help is what keeps the floor from eroding while you wait.
- State plainly when the price is in the middle of your range and there is nothing to do.
Here: PYPL — a fresh Betaville report of a possible new bid after the Stripe talks failed. The executed range: "we bought at 51, we sold at 55, and now they're back at 54.96… closer to 50, we said we would buy shares and then sell them again." The floor is his own: "we think that without a bid, shares should trade around 53." The ceiling is the board's: it "rejected the initial offer of 60 to 50 a share, which was 53 billion, as inadequate, signaling a price target closer to 70." Hence "not a lot of downside versus upside if there's a new bid. However, there is no proof of any new bid." The bidder map comes with its obstacles attached — PE (KKR, Blackstone, Silver Lake): "interest rates are so high that doing such a large LBO would be quite difficult"; big tech (Alphabet, Amazon): "they're spending so much money on AI that this is likely not going to be a deal this year," though the prize is 400 million active payment accounts; networks and banks (Visa, Mastercard, JPMorgan): "this would be a great acquisition… but we don't see any evidence of that." And the self-help if none of them come: "operational restructuring, layoffs, larger share buybacks, some asset sales, carving out something like Venmo or Braintree."
Watch for
- The floor moving — a deterioration in the underlying business is the one thing that breaks a range trade, because it lowers the level you keep buying at; the board changing its stated number, which resets the ceiling; a bidder's obstacle clearing (a rate cut for the PE case, an AI capex pause for the big-tech case); and rumour sources of varying quality — a specialist M&A blog is a lower-grade signal than a wire report, and should be sized accordingly.
5. When the prediction market and the sell-side disagree about the Fed, take the side with the political constraint — and price the path, not the level
The repeatable method
- Read the prediction market as the market-clearing probability, not as truth. It is money-weighted, so it tells you what is priced; that is the level you are being paid to disagree with.
- Collect the sell-side distribution rather than one house's call, and note why each changed its view. A forecast revised on one speech and one payroll print is a weaker input than one revised on a data trend.
- Look for a constraint the economists' models do not carry — an election calendar, committee composition, an institutional incentive to appear unified. Central bankers optimise for more than inflation.
- Separate the chairman's signal from his intention where the committee is contested: hawkish language can be the price of internal consensus rather than a commitment to act.
- Name the single data release that will settle it, and refuse to conclude before it prints.
- Then price the path, because that is what equities respond to: one hike and a hold is a different asset-price regime from a sequence of hikes.
Here: Kalshi at 52% for a 25bp hike versus 48% no change into the September 16 FOMC. The sell-side spread: UBS (Jonathan Pringle) wants September to 3.75-4% and December to 4-4.25%, revised from unchanged "relates to both Warsh's Jackson Hole speech… and last Friday's payrolls number"; Barclays sees two hikes; Morgan Stanley expects a hold with core inflation to 3.1%. Singh takes the under on all of them — "we think that probability should be lower for a hike… I'm less hawkish than UBS obviously" — on the political constraint ("given the midterm election cycle") and on a read of the chair's incentives: "I feel like Warsh is just playing this game because there are 12 voting members and he doesn't want to look like he's clashing against them." The payrolls input is also discounted at source: of the 162,000 jobs, ~77-78% were leisure/hospitality, government and healthcare — "not as strong as the numbers seemed, which is why the market didn't sell off more." The settling datapoint is named and the conclusion withheld: "the most important data point before the 16th meeting is August CPI. I'm not going to draw a conclusion until then." And the path, from the deck: "if there's just one hike, the S&P should do reasonably well after a couple weeks of uncertainty. But if there's more than one hike, things can get a lot worse in risk assets."
Watch for
- The August CPI print itself (headline expected +0.4% m/m on war-driven energy, core flat at 0.2%, y/y falling to 2.4% on the housing weight) and PPI the day before (headline 0% → 0.4%, with PPI ex food, energy and trade expected to fall — the tell that "a lot of this is just due to the war"); the composition of any strong payroll print; Truflation, "the closest real-time inflation indicator we have," now at the highest point of the year; and the second-order political trigger — Trump threatening tariffs to force cuts, when "if we do charge new tariffs, the Fed would actually have to hike, so it's very counter-intuitive."
6. Buy operating leverage at a discount to private-market value — then put a date on the trigger and admit if you are early
The repeatable method
- Quantify the operating leverage as a unit sensitivity, not a narrative: how many dollars of annual EBITDA does a one-unit move in the underlying commodity add? A business where a small price change swings earnings materially is an option, and should be underwritten as one.
- Value the assets against private transactions, not against listed comparables. Where private buyers routinely pay more per unit than the public market implies, the gap is the margin of safety.
- Check that the asset base is being monetised in ways that do not require the cycle to turn — leases, alternative land use, adjacent revenue. That is what pays you to wait.
- Read the payout policy as part of the option. A variable dividend formula tied to free cash flow converts an earnings inflection directly into cash to shareholders, which is a second source of re-rating.
- Name the trigger and date it. An option with no expiry is a good thing; an option with no identified trigger is a hope.
- Then test the trigger against your own macro work — and if your own analysis says the trigger is further away, say you are early and size accordingly rather than talking yourself into it.
Here: WY — "Weyerhaeuser is actually a timberland REIT, meaning its earnings function as a call option on housing activity, single family construction, and commodity lumber pricing." The sensitivities are unit-priced: "a $10 MBF change in lumber prices adds about 50 million in annual EBITDA," a $10/MSF OSB move adds $30M, and "single family home construction requires roughly three times more lumber per unit than multi-family." The private-market anchor: "Weyerhaeuser trades at a 30-40% discount to its private land NAV… investors effectively buy millions of acres of prime real estate at a steep markdown relative to private transactions." The pays-you-to-wait line: strategic land solutions guidance raised to $450M from solar, wind, carbon capture and higher-and-better-use sales. The payout mechanism: a 3.5% base dividend plus a variable dividend targeting 75-80% of annual free cash flow — "the dividend could go up dramatically by this formula if the EBITDA were to inflect." And the discipline, stated against his own bullishness: "I'm not as bullish on this one because the stock will not likely move too much, but it looks like it's bottoming… if you were to see a cyclical change in housing demand after interest rates peak, going into 2027 — so we're early on Weyerhaeuser" — consistent with his own call on the same page that mortgage rates "could easily go above 7%" and that private construction outside data centres is declining.
Watch for
- Single-family housing starts specifically (not total starts — the mix is the whole thesis); the 10-year Treasury yield, since mortgage rates track it and it is currently going the wrong way at 4.8%; lumber and OSB spot prices as the direct EBITDA input; private timberland transaction prices, which are what validate the NAV discount; and the variable dividend declaration, which is the first place an earnings inflection becomes visible in cash.
7. Size a credit scare before you act on it — and separate the liquidity problem from the solvency one
The repeatable method
- When a credit metric breaks out, immediately compute what it is worth in dollars: what share of the market it represents, and what a plausible default rate on that share actually costs.
- Compare the size of the potential loss to the size of the asset class it is supposed to threaten. The same absolute number can be systemic in one era and irrelevant in another.
- Distinguish the spread widening (a price signal about risk appetite) from the gating of redemptions (a structural signal about liquidity). Gates say nothing about credit quality and everything about the mismatch between illiquid assets and liquid promises.
- Trace the gating back to its cause rather than treating it as a shock. Illiquidity in a fund complex usually has an upstream explanation somewhere in the capital cycle.
- Keep a separate list of household-level metrics — delinquencies, not spreads — since those move independently of institutional risk appetite and reach the real economy first.
- Then set the level at which the credit story starts to matter to equities, and track the distance to it.
Here, the discipline runs against his own bearish datapoint. "Triple-C US corporate credit spreads have been breaking out for the last four months… around 13% plus yields, BofA's a little higher, about 15%." Then the sizing: "remember that's only 10% of high yield. So if high yield's 1.5 trillion, this is 150 billion. And if you see defaults even at 10% of 150 billion, you're only going to get 15 billion, which is nothing… high yield defaults meant a lot more in 2008 versus now, because the equity market's just so much bigger than the high yield debt market." The liquidity story is graded separately and is not dismissed: gates re-imposed at BCRED (5% cap on 10% of requests, on a $77.2bn fund), Cliffwater (16%), Blue Owl (20%), BlackRock (9.3%), Morgan Stanley (10.9%), Ares and Apollo — "so the private credit risk has not gone" — with the upstream cause named in the bond section: "there's been a distribution drought for the past four years where private equity firms are not able to return capital to their investors… and this is also why private credit is struggling." The household metric that does concern him: "60-day delinquency on US subprime auto loans has climbed to roughly 5.2%, the highest level on record and more than double where it was four years ago." And the equity trigger level, quantified: "JP Morgan says a 5% 10-year treasury yield could be the level that starts to pressure stocks. So we're only 20 bips from there right now."
Watch for
- The 10-year against the 5% line; whether private-credit gates are lifted next quarter or extended (an extension is the escalation, not the initial cap); Q2's $99 billion of new private-credit fundraising, which he calls "quite alarming" precisely because it arrives while redemptions are gated; global PE deal count and distributions as the upstream cause; and subprime auto delinquencies as the cleanest read on the borrowing half of the consumer.
8. When the input-cost regime reverses, sell the sector — and date the reversal off the political calendar
The repeatable method
- Ask what a cyclical position was actually a bet on. A "cyclical bottom" trade is a bet on the spread between input cost and output price widening — not on volumes, and not on the company.
- Check whether the input side has moved against you since entry. If the raw material is repricing faster than the finished product, the margin thesis is invalidated regardless of how well the company is run.
- Identify what would restore the spread, and ask whether there is a dated, plausible catalyst for it. "Eventually" is not a catalyst.
- Where the input price is set by geopolitics rather than by supply and demand, use the political calendar as your timeline — elections, ceasefire windows, sanctions review dates.
- Then apply the conclusion at sector level rather than at name level. If the driver is an input price, every company that buys that input is affected, and picking the "good one" does not help.
- Say the action word. "Trim or sell" is a decision; "less constructive" is a mood.
Here: LYB, answered in Q&A. "We were long a while back… on the chemical front, we were effectively timing a cyclical bottom. Since then, chemical names rallied quite a bit. And because of rising energy prices, I am not really that positive on the sector anymore. So what I would do for LYB is just trim or sell. I'm just not as positive on chems as I was." The catalyst test is applied and fails on a date: "I actually think that we could see an escalation of this Iran war before it gets better after the midterms. There's no immediate catalyst for peace." And the conclusion is generalised deliberately: "names that are sensitive to oil prices and gas prices, I'm just not as excited about." The macro that sets the input price is on the same call — WTI $92.64 / Brent $97.31, European gas +150% y/y at the highest since 2023, diesel cracks at a record $106/bbl with US inventories down 103 million barrels, and a stalemate he expects to persist "at least after the two major political events, including Israeli elections October 27th and US midterm elections November 3rd."
Watch for
- Any credible de-escalation path before the midterms (the one thing that would reverse the call); European TTF gas and US diesel crack spreads as the live input-cost gauges; the same test applied in the other direction — refiners are the beneficiary of exactly the spread that is hurting chemicals, "which is very good for refiners right now"; and, structurally, every prior cyclical-bottom position in the book, since the invalidating condition is shared across all of them.
9. Read insider transactions as a two-sided screen — and treat a conflict as a research task, not an average
The repeatable method
- Screen Form 4 filings systematically rather than anecdotally. Open-market purchases and sales are the only disclosures where the person with the best information puts their own money behind a view.
- Weight a purchase by the buyer's role and the size relative to their own history — the chief executive's eighth-largest purchase out of thirteen means something; a routine grant does not.
- Weight a sale by the proportion of the stake, not the dollar amount. Executives sell for many innocent reasons, but halving a position is a different act from trimming one.
- Flag unusual plan structures explicitly (a purchase routed through a 10b5-1 arrangement, for instance) — the mechanism is itself information.
- When a name shows a bullish sell-side signal and a bearish insider signal at once, do not net them. Put it on the work list and say you have not concluded.
- Build the tool: turn the screen into a ranked, repeatable output so the sorting is not done by memory each week.
Here: "We started to track in our tracker Form 4s and we're working on prioritizing which ones are good and which ones are bad. So that screener is supposed to be out in October." The bullish side: VST's "President and CEO James Burke bought 270k of VST, 2,000 shares at 135. It's his eighth largest trade out of 13" — plus Insperity's chairman/CEO at $3M "as a buy the dip trade," Lumen's CEO at $500k, FTAI's Wesley Edens at $300k, an Okta director "flagged as an unusual 10B5-1 buy signal," Kratos and Intel at $250k each. The bearish side, weighted by proportion rather than dollars: CAT — "Caterpillar CEO Creed sold 48% of his CAT stock… for people looking at shorting CAT as a high valuation cyclical name, the fact that the CEO is selling half his shares might mean the company might have peaked in the short term." And the unresolved case handled as such: TEM appears among the week's largest insider sales in the same paragraph where "Cantor Fitzgerald initiated Tempus overweight with an $80 price target. I have to look at that."
Watch for
- The October release of the Form 4 screener, which is where this becomes repeatable rather than anecdotal; sales clustered across multiple executives at one company rather than a single seller; purchases that coincide with a drawdown (the "buy the dip" pattern) versus purchases into strength; the size of the sale as a percentage of the holder's total stake, which requires reading the filing rather than the headline; and whether the corroborating macro agrees — a cyclical CEO selling into a decelerating cycle is a very different signal from one selling into an expansion.
10. Read a big assembler's earnings call as a survey of everybody else's supply chain
The repeatable method
- Identify the companies that buy from everyone — assemblers and integrators sitting downstream of the whole component chain. Their management commentary is a census of the industry, not a statement about one company.
- Extract the constraint list verbatim and count it. One shortage is a supplier problem; a shortage across nine unrelated components is a systemic capacity problem that no single factory build-out will fix.
- Turn each named constraint into the supplier that benefits from it, and check whether the scarcity is contracted or spot. Scarcity that has already been locked into long-term agreements accrues to the supplier; scarcity in the spot market accrues to whoever holds inventory.
- Cross-check with the pricing evidence — the ratio of spot price to contract price is the cleanest measure of how tight a component actually is.
- Corroborate with a second assembler's print before concluding demand is industry-wide rather than share gain.
- Use the same list as a timing warning on the demand side: a build-out constrained across nine components will take longer than announced, which stretches the revenue schedule of everyone in it.
Here: DELL "delivered a massive beat and raise with record revenues of 47 billion versus estimates of only 44.9 billion, a 58% year over year… EPS was $7 a share versus 4.9 expected" — corroborated by HPE's $12.2B vs $11.9B, +34% y/y, "beating like Dell." The survey value is in the call, not the print: "if you listen to Dell's earnings call on memory and optical shortages, it was very, very bullish. The constraints remain the same across DRAM, NAND, spotty CPU shortages, disk drives, power integrated circuits, microcontrollers, drivers, ABF substrate, T-glass and optical" — nine categories. Mapped to suppliers: MU on memory, where the contracted-versus-spot test is explicit — Samsung has "allocated 70% of its memory production capacity through 2031 to long-term contracts, similar to SK Hynix and Micron," while HBM3E 36GB spot is $2,100, roughly four to five times LTA pricing and DRAM export unit prices are +36.6% from May to July even as volumes fell 13%; and AVGO, guiding AI revenue $58B → $115B → $230B by FY28 against 20 gigawatts of committed compute. The timing warning comes from the same complex: "AI growth is now being constrained by power… a potential 15 gigawatt shortfall just by next year alone, with AI chip production growing 40-50% annually while power outside China is only growing at 10-20%."
Watch for
- The spot-to-contract ratio narrowing, which is the first sign a shortage is ending; new capacity announcements with real dates (Samsung converting its Pyeongtaek S5 foundry line to memory, Micron adding 60k wafers/month); a competitor removing itself from the market (China's CXMT stalling HBM3E production, "positive for Micron and SK Hynix and Samsung"); the next assembler's call repeating or shortening the constraint list; and power specifically, since it is the constraint that no chip fab can relieve.
Methods distilled from the premium Special Situations Report weekly call (2026-09-07; transcript, report and agenda-deck PDFs in this folder, plus Michael Cembalest's Eye on the Market circulated on the call; notes in transcript.md) for personal study. Not investment advice. © Special Situations Report for source material.