1. Trade the data through the Fed's reaction function, not the economy — with a stated band where "bad is good"
The repeatable method
- Before a labour or inflation print, decide which regime you are in. Write down the level at which weak data stops helping — his is the unemployment rate: below ~5%, soft data suppresses hike risk and lifts equities; above it, soft data becomes a recession, and the sign flips.
- Convert the print into the only variable that matters — the market-implied probability of the next policy move — and size the trade to the change in that probability, not to the headline number.
- Act on the hedges first. A collapse in hike odds is a reason to reduce the short/hedge book in a defined percentage, not to add gross length; the longs should already have been added during the fear that preceded it.
- Confirm the read with the wage line. If average hourly earnings undershoot alongside weak payrolls, the print is disinflationary rather than merely weak — "no major wage inflation risk" — which is what keeps the "bad news is good news" reading valid.
Here: payrolls −23,000 vs +80,000 expected, hourly earnings +0.1% vs +0.3%, unemployment still 4.1% → September hike odds 60% (Aug 1) → 40%, and he covered ~25% of the short/hedge book into it having spent the prior fortnight adding longs through the geopolitical scare. "Any bad news means that the Fed is less likely to hike."
Watch for
- The unemployment rate approaching 5% (the point the rule inverts); the wage line alongside the jobs line; the implied-probability move rather than the surprise itself; and the next test of the regime — CPI Aug 12 (core 2.6% → 2.5% expected) and PPI Aug 13 (core ex-food-and-energy 4.7% → 4.1%).
2. Read the revisions, not the headline — a two-month restatement is the real print
The repeatable method
- When a labour report lands, immediately net the headline against the revisions to the prior two months. A −23k print with −103k of revisions is a −126k report; a +100k print with −100k of revisions is nothing.
- Track whether revisions are consistently one-directional across administrations. A persistent pattern of boasting the first print and revising it down later is a reason to discount the initial release as an input rather than treat it as data.
- Use the revised base, not the reported base, when you extrapolate the trend — and cross-check it against an independent series measured differently (job openings, claims) to make sure both are pointing the same way.
Here: May was cut 66,000 (from +129k to +63k) and June another 37,000 — 103,000 across two months, which he calls "very suspect" and explicitly the same behaviour the previous administration was accused of ("this administration's not much different in the last three months"). The independent confirmation arrived the same week: JOLTS openings −178,000 to 7.36M, the lowest since March and a second straight decline, led by leisure/hospitality (−86k), wholesale trade (−74k) and professional services (−71k).
Watch for
- The size and direction of the two prior months' revisions relative to the headline; whether openings/claims confirm; and the sector composition of the decline (services and professional roles rolling over is a different signal from goods).
3. Strip non-operating mark-ups out of a reported earnings season before you believe it — and date the payback
The repeatable method
- When index earnings growth blows out, decompose it. Find the companies carrying large stakes in private businesses and separate operating EPS from non-operating unrealized gains — value changes on holdings they never sold, which flow through the income statement as profit.
- Recompute index growth with those gains removed. That number, not the headline, is what the market will eventually be marked against.
- Ask what has to happen for the gains to repeat. Mark-ups on a private stake require a new funding round or an IPO at a higher price; a listed holding that has already fallen forces a mark-down. If neither is likely, you now have a dated earnings cliff — the same quarters next year.
- Check whether sell-side estimates for those quarters have adjusted. If forward estimates still embed the one-off gains, the miss is mechanical and pre-scheduled, and you can position around the calendar rather than the news.
Here: Alphabet's Q2 EPS was $9.11 (+300%) but only $2.88 was operating (+30%) — $6.23 was mark-ups on Anthropic ($183B → $380B → $965B) and SpaceX ($800B → $1.25T → a $1.77T IPO, now −40%). Strip Alphabet's and Amazon's gains and S&P Q2 growth falls 47.4% → 28.0%. Because Anthropic must raise again and SpaceX has already fallen, "the reported GAAP EPS for GOOGL and AMZN have the potential to decline in the first and second quarter of 2027," against a 2027 estimate of $405/share (+13%) analysts have not marked down. His timing call falls straight out of it: range-bound "until after midterm elections in November," when "the market will start being worried about 2027 earnings."
Watch for
- The operating-vs-reported EPS split in the 10-Q; whether the private holding raises again this quarter; the listed holding's price versus its last carrying mark; and whether 1Q/2Q-2027 consensus has been reduced for the non-repeat. The falsification: another up-round large enough to reset the base.
4. Audit who is actually producing the index's growth — then map their dependency chain
The repeatable method
- Rank the index's earnings contribution by company, in dollars of index EPS, not by market-cap weight. Note any single name responsible for a double-digit share of the total growth.
- Establish whether that contribution is durable or cyclical: check capacity sold forward, allocation percentages customers are receiving, and the next year's expected growth rate against the current one (a deceleration from 850% to 100% is still growth, but the second derivative is what re-rates).
- Trace the demand back through the chain and write down the percentages: who buys from whom, and what fraction of each company's revenue depends on the next link. A ring — where A funds B, which buys from A, whose revenue is C's customer — is not fraud, but it means the whole ring contracts together.
- Identify the financing constraint at the top of the chain. If the buyers are spending more than their operating cash flow, the ring's survival is a credit question — so watch credit instruments, not equities, for the first crack.
Here: MU contributed $25 of S&P EPS — ~25% of the index's Q2 earnings growth, on 850% 2026 growth decelerating to ~100% in 2027, with Micron/Samsung/SK Hynix sold out of 2027 capacity and customers allocated only 60-70% of requested volume. The ring: NVDA weighing a $250B backstop of OpenAI → OpenAI = 40% of Microsoft's cloud backlog and 70% of its AI revenue → MSFT = 22% of Nvidia's revenue → Nvidia = 17% of Micron's revenue. "How circular is that?" The credit tell: hyperscalers will out-spend operating cash flow in 2027, "which is why CDS for companies like ORCL is blowing out."
Watch for
- Single-name share of index earnings growth; capacity sold forward and customer allocation percentages; each link's revenue-dependency percentage; hyperscaler debt issuance (>$100B raised, excluding non-recourse off-balance-sheet); and CDS spreads on the most levered spender as the leading indicator.
5. Screen for a negative enterprise value — then apply the three gates that decide whether it is a trade
The repeatable method
- Screen for companies where net cash exceeds the market capitalisation. Compute cash per share against the share price: you are being paid to take the operating business.
- Gate one — the burn. Quantify the quarterly cash loss and divide it into the cash pile. That is your clock. A negative-EV stock "is only cheap if the cash isn't burned before it reaches shareholders."
- Gate two — the catalyst. There must be a named, dated process that converts cash into shareholder cash: a strategic review, a sale mandate, a buyback authorisation. Sequenced disposals and cost cuts already executed are evidence the process is real, not rhetoric.
- Gate three — management's history. Ask what this management did with cash the last time it had a lot. A team that historically deployed a cash hoard into expensive acquisitions is the reinvestment risk, and it is the reason the discount persists.
- Only size it when gates two and three clear. Until then it is a watch — "it only becomes a compelling trade if phase three results in concrete capital returns or a total sale."
Here: NNDM — $433M cash, zero debt, a $340M market cap at ~$1.60 → a negative $80M EV, with $2.10-2.25 of cash per share. Gate two cleared partially: Markforged sold to Stratasys for $42.5M and the AME/Fabrica lines for up to $12.5M (~$55M), headcount cut, the HQ lease terminated ($38M of commitments, ~$25M net savings), burn down ~$25M, and a phase-three review with 2026 guidance suspended. Gate one and three did not: a $9.6M quarterly adjusted-EBITDA loss still erodes the cash, and this management "used its massive cash hoard… to pursue expensive acquisitions rather than return capital." Verdict: a watch, not a position.
Watch for
- Cash per share vs price; quarterly burn as a fraction of cash; disposals actually closed (not announced); lease and headcount reductions with dollar figures; the strategic-review deadline; and any capital-allocation history of acquisitions over returns.
6. Enter an activist situation at the unaffected price — never on the announcement spike
The repeatable method
- When an activist reveals a stake and the stock gaps, do nothing. Establish the unaffected price — where the shares traded immediately before the press release or the TV interview.
- Judge the underlying business on its own merits at that unaffected level, ignoring the activist. If it wasn't cheap before, the stake doesn't make it cheap.
- Wait for the pop to fade back toward that level and buy there, so you own the shares ahead of what the activist actually delivers — a board change, a forced buyback, an asset sale, a liquidity fix, a capital-structure change — rather than paying in advance for the possibility.
- Use any published activist presentation as the roadmap of what to expect and when, not as a reason to pay up.
Here: SHAK rose 12% after Starboard's Jeff Smith disclosed a multi-hundred-million-dollar stake on Bloomberg TV. "I personally didn't think that Shake Shack was that cheap, but the stock had sold off quite materially this year… usually when you get a big rally like that, I wait for it to calm down, then I buy the shares when they're unchanged on the pre-announcement level… If you can get the shares there, you have a much better risk reward."
Watch for
- The pre-announcement price as your limit; whether an activist presentation is published; the specific demands (board seats, buyback, asset sale, capital structure); and whether the stock retraces the whole move or holds a premium — a permanent premium means the market has already priced the outcome.
7. Short the mechanical squeeze in a low-conviction name — enter into the extreme, exit on the fade
The repeatable method
- Look for pre-market moves so large they cannot be explained by news — and identify the mechanical cause (a forced liquidation, a short book being closed out). If the driver is covering rather than information, the price has no anchor.
- Do not short the first print. Let the extreme (here +240%) exhaust and initiate only once the move has already begun to come in but is still far above fair value — the entry is a level relative to the squeeze, not to your valuation.
- Define the exit as a retracement target on the same day, not a price target on the business. Cover into the fade and be finished within hours.
- Keep it in the trading sleeve and label it as such — it does not become a position, and it implies nothing about the company.
Here: DOCS — a hedge-fund blow-up drove a squeeze to +240% pre-market; he shorted at +80% (~$37) on the open, it fell to $31-32 (up only ~50%), and he covered for >20% in a couple of hours. "So very easy 20% made." The mirror-image lesson from the same week: PLTR and CAT squeezed against Michael Burry's shorts — "not a good week for Burry."
Watch for
- A named forced seller or liquidating fund; the pre-market percentage versus any actual news; the level at which the move starts to fade; and whether the name has a real catalyst — if it does, this is not the trade.
8. Separate a timing miss from a guidance miss — buy the first, sell the second
The repeatable method
- When a stock gaps down on results, locate exactly which line missed and by how much. A sub-1% revenue miss is noise; the reaction is positioning, not information.
- If the scary number is cash flow, find out why. Tax schedules, international cash movements and payment timing reverse next quarter; a genuine deterioration in unit economics does not.
- Check next quarter's guidance against consensus. Unchanged guidance after a revenue miss means the company is monetising the same customers harder — a quality signal, not a warning.
- Invert the test for the sell side of the trade: when the beat is enormous but guidance itself is below consensus, the market is right to sell it. The past quarter is sunk; the guide is the information.
Here: APP missed by "less than 1%" and fell double digits; the 27% free-cash-flow miss was timing of international cash and tax payments, Q3 revenue guidance was in line, and management explained the shortfall as a slower pace of AI-model improvement with the step-up landing just after quarter-end → he bought, targeting a double in two years from the mid-$300s. The inverse, same week: SNDK printed revenue +372% y/y with a record 84.6% gross margin — and sold off because 1Q27 guidance of $10.3-10.8B came in under the $11.1B estimate. Same logic behind the DDOG repurchase: "it sold off 17% on positive earnings."
Watch for
- Size of the top-line miss in percent; the stated cause of any cash-flow gap and whether it reverses; next-quarter guidance vs consensus; and any regulatory overhang (an open SEC inquiry, as with AppLovin) that caps the size you should carry.
9. Underwrite a merger arb by counting the risk legs that have been retired
The repeatable method
- List every discrete thing that can block the deal — each antitrust authority, each political veto, each financing or earnings condition, each constituency with lobbying power — and treat them as separate legs, not one blob of "regulatory risk."
- After each news event, mark which legs are now closed. A cleared phase-one review and a minister formally declining to intervene are two different legs; retiring the political one is often worth more than the antitrust one because it is the least predictable.
- Look for affected third parties switching sides. When the constituencies who would be harmed by the deal start publicly backing it, the remaining political case erodes — size their weight (share of the market they represent), don't just note the endorsement.
- Only then set a probability of close, and compare the spread against a modelled break price. Keep the position sized to the break, not to the spread.
Here: WBD retired four legs on August 6 — UK CMA phase-1 clearance (citing Universal, Disney and Sony as competition), the UK Cultural Secretary declining to intervene on public-interest grounds ("one of the big risks is that UK is just more left-leaning… that was a big risk which is no longer a risk"), EBITDA in line despite a ~5% sales miss on studio softness, and formal support from Regal's CEO after AMC's op-ed — the two chains being ~40% of US theatre viewership and near 50% for blockbusters. Probability of close set at 70% against one of the widest large-cap spreads left. Elsewhere in the book the same ledger runs the other way: D/NEE added a leg when Virginia's governor announced she would intervene.
Watch for
- Each authority's stage of review; whether a political veto has been formally waived; endorsements from harmed constituencies weighted by market share; target EBITDA holding even when sales miss; dated regulatory deadlines (DBRG's FERC request by Aug 12); and the state-level gates that outlast federal ones (BHF's NY/MA/DE insurance approvals).
10. Trade the drafted rule — a named excluded supplier is a named domestic beneficiary
The repeatable method
- Read import-ban and tariff drafts for the specific company or product being excluded, not the headline geopolitics. A rule that removes a supplier from a market re-allocates that supplier's volume to whoever is left.
- Identify the domestic substitutes with the capacity to absorb it, and check the pending decision has a date — a proposal without a timetable is not tradeable.
- Run the same test on the input side: where a decision would tax an imported raw material, the beneficiary is the manufacturer who has already localised its supply chain, and the tell is a customer paying up for domestic content today.
- Size to the policy risk. These are option-like positions on a rule that may never be finalised, so express them in names that work on fundamentals too.
Here: the administration is drafting a ban on US imports of new Chinese data-centre components; "the proposed FCC rule expected this year… could hit China's Zhongji Innolight, which benefits U.S. rivals such as COHR and LITE." The input-side mirror is TE: solar manufacturers await the Section 232 decision on polysilicon, T1 targets >60% domestic content in 2027, and Clearway signed a 641 MW contract explicitly for high-domestic-content modules — the stock went $4.70 → ~$6 in the week.
Watch for
- The named excluded supplier and its market share; the domestic substitutes' spare capacity; the rule's expected finalisation date; on the input side, the Section 232 timetable and customer contracts that pay explicitly for domestic content; and whether the beneficiary is investable on fundamentals if the rule never lands.
11. Read an insider sale against the narrative that caused the rally
The repeatable method
- When a stock has run on a macro narrative rather than company results, check whether insiders are selling into it. The relevant comparison is the sale versus the story, not the sale versus the company's fundamentals.
- Weight it by who sold, how much, and whether options were exercised to do it — a CEO exercising and selling a large block after a defined run is a considered decision, not routine diversification.
- Treat it as evidence about the narrative's durability, not as a short signal on the business.
Here: DAL's CEO exercised options and sold $19M after a 30% run in three months — a rally driven entirely by the market pricing an Iran peace and cheaper jet fuel. "It could be a strategic sell in his mind given that the market is anticipating an Iran war peace… he doesn't seem to believe that it's a good risk reward at this moment." Compare with AMZN, where Bezos's $4.07B sale was disclosed after the fact — "nobody got to trade on it, obviously" — and reads as programmatic rather than a view.
Watch for
- Form 144 filings versus the stock's recent driver; whether the sale followed an option exercise; the size relative to the holder's stake; and whether the disclosure timing allowed the market to react at all.
Methods distilled from the premium Special Situations Report weekly call (2026-08-09; transcript, report & agenda-deck PDFs in this folder; notes in transcript.md) for personal study. Not investment advice. © Special Situations Report for source material.