1. Read the market's regime before you read the data — "bad news is good news"
The repeatable method
- Before reacting to any macro print, decide which regime you're in: is the market driven by growth (good data = up) or by the Fed's reaction function (bad data = up, because it caps hikes)? The regime flips, so name it explicitly each week.
- In a Fed-driven tape, treat a weak labor/inflation number as bullish for the relief rally — but verify the number is "bad for the right reasons." A jobless rate that falls can still be dovish if it fell because people left the workforce (participation down), not because hiring rose.
- Cross-check the market's own fast-moving tells (inflation-swap rates, OIS-implied hike count) to confirm the repricing is underway before positioning — and don't trust overnight futures ("a very fickle" tape) as the whole story.
Here: NFP 57k vs 113k, with participation 61.8→61.5 (750k left the labor force) and April/May revised −74k — "bad for the right reasons." Paired with a dovish Warsh Europe speech, inflation swaps collapsed to pre-war levels and OIS fell to ~1.5 hikes → a relief rally (Nasdaq futures +1.4%).
Watch for
- Which variable is binding (growth vs Fed); participation-driven vs hiring-driven unemployment moves; downward payroll revisions; inflation-swap and OIS repricing as the confirmation.
2. Decompose a too-wide merger-arb spread into its discrete risk buckets — then check the downside floor
The repeatable method
- When an announced-deal spread is unusually wide, don't treat it as one number — enumerate the discrete reasons: (a) regulatory/approval risk, (b) jurisdiction/geopolitical risk, (c) the target's own financing/operational risk, (d) the commodity/price backdrop that could make the buyer re-strike.
- Weigh each bucket on its merits (e.g., will the acquirer's home regulator actually block a strategically-desirable deal?) and identify which one is really driving the discount (often a timeline extension, which arbs reflexively sell).
- Size the trade against the downside floor: if the stock has already round-tripped to its pre-announcement price, the deal-break downside is limited, so a wide spread on a well-funded cash buyer is asymmetric.
Here: AAUC — a ~34% spread on Zijin's C$44/US$32 all-cash bid vs a ~$23 stock. Buckets: outstanding Chinese MOFCOM/SAFE/NDRC approvals after a July 29 outside date; West-Africa jurisdiction risk (Mali junta); a Q1 $58M loss + Kurmuk capex; and a 20% gold drop → re-strike fear. But it's back to its pre-deal price, so "the risk-reward is quite decent."
Watch for
- Which of the four buckets dominates; a timeline extension as the arb-scare trigger; the acquirer's incentive to close; and whether spot has fallen to the pre-announcement baseline (the downside floor).
3. Separate the print from the position — the sell-the-news / positioning test
The repeatable method
- When a name posts a genuine blow-out and still sells off, don't conclude the fundamentals broke — ask whether over-extended retail/levered positioning (single-stock levered ETFs, options volume, a big pre-print run) set up a technical unwind regardless of results.
- Look for an independent confirming signal that demand is real: a competitor raising prices into the same "glut" fear is a hard tell that the shortage is intact, not cyclical.
- Anchor to the durable fundamentals (contracted volumes, capital return) and treat the positioning-driven dip as an entry, sizing for continued volatility.
Here: MU printed 85% GM, $18.3B FCF, 16 five-year SCAs ($22B deposits) and still faded to ~$992 on retail positioning — then SMCI-style panic aside, Samsung announced a 20% Q3 DRAM hike and UBS extended the shortage to 2028, confirming the pullback was "positioning, not fundamentals."
Watch for
- Levered single-stock ETF and options froth pre-print; a competitor raising prices into the fear; contracted-volume durability; and a momentum-index washout as the technical bottom.
4. Find the AI beneficiary the market has miscategorized as an AI victim
The repeatable method
- When a whole sector de-rates on an AI-threat narrative (here SaaS on "agents will replace software"), screen its members for the one actually using AI to gain share — with hard adoption metrics, not slideware.
- Demand evidence the flywheel is turning: usage stats (assistant weekly-active up multiples, apps built, % of workflows AI-generated), a new channel out-converting the old one, and an industry standard that rivals feel forced to join.
- Check that the compressed multiple can be grown-into: is growth durable (multi-quarter acceleration) and is the AI cost a margin drag today but a customer-acquisition investment tomorrow? Then set a target off the re-rate to a growth-appropriate multiple.
Here: SHOP — sold off with SaaS, but Sidekick weekly use +4x, ~half of Q1 flows AI-built, AI-search bringing 2x the new buyers of legacy search, and Amazon/Meta/Microsoft/Salesforce/Stripe joining its UCP council. ~35% GMV growth into a compressed multiple → ~$190 vs $119.50 (~60%).
Watch for
- A sector de-rated on an AI-threat story; per-product AI adoption metrics; a channel out-converting the incumbent; an industry standard rivals join; and durable growth that grows into the multiple.
5. Split the index into theme vs non-theme to recover the true economic signal
The repeatable method
- When one theme dominates the index weight, stop reading the headline index as "the economy" — decompose it into the theme cohort and everything else.
- Compare the two lines over the same window: if the index is up but the non-theme majority is roughly flat, the "strong economy" read is an illusion created by a handful of names.
- Use that to calibrate breadth risk (how few names carry the tape) and to avoid mistaking index strength for a green light on cyclicals.
Here: 41 AI stocks = ~45% of the S&P; since Feb 28 the index is +7% but the 459 non-AI names only +1.5%. Just 10 names (32% of the index) drove 60% of the Q2 return, and 33% of stocks actually fell — "two asset classes: AI and non-AI."
Watch for
- A single theme's index weight; the theme-vs-rest return gap over a fixed window; the share of return from the top-10 names; and the % of members declining as the breadth tell.
6. Trade the mechanical index event — Russell reconstitution and "style blurring"
The repeatable method
- Treat the semiannual FTSE Russell reconstitution as a forced-flow event: names migrating between growth/value or small/large trigger non-discretionary institutional buying and selling that front-runners chase.
- Watch for "style blurring" — when the formula pushes mega-caps into the Value index (Mag 7 now 17% of Russell 1000 Value), value-mandated managers are forced into tech, and the growth/value diversification you were relying on quietly disappears.
- Hunt for names dumped purely for index-mechanical reasons (a stock that shrank out of one index and became a rounding error in the next) as dislocations to buy, separate from fundamentals.
Here: the largest reconstitution on record — Amazon shifted almost fully to Value ("cheap" signal), MSFT/AAPL split 50/50, 43 AI names graduated out of the Russell 2000. Bloom Energy sold off simply because it shrank in the Russell 2000 and is small in the Russell 1000 — a mechanical, not fundamental, move.
Watch for
- Reconstitution dates and record rebalance volume; mega-caps crossing into Value; the growth/value overlap eroding; and single names moved for index-mechanical reasons.
7. Use the respected 13F as confirmation of a name you already underwrote — not as the thesis
The repeatable method
- When a top-tier investor discloses a position in a name you've already researched, treat it as a confidence check on your own work, not a reason to buy blind — you keep the thesis, they add conviction.
- Discount for the disclosure lag: a 13F is weeks-to-months stale, so it confirms the setup was attractive at their cost, not necessarily today's price.
- Weight the source: a generational track record (a "GOAT") on a name matching your own SOTP is a stronger tell than a crowd of me-too filers.
Here: SE — Druckenmiller added to the same Sea Limited that Singh laid out at ~$91 last week; "because he's the GOAT, this is good to mention," while noting the 13F is a couple months old.
Watch for
- A disclosed position in a name you already own the thesis on; the filing's staleness; and the filer's track record as the weighting factor.
8. Shadow the specialist short — extract the screen, not the ticker
The repeatable method
- When a credible specialist discloses a short, resist copying the ticker — reverse-engineer the repeatable screen behind it so you can apply it yourself.
- Name the mispricing pattern: a stock up huge on flat fundamentals (price/fundamental divergence) is a valuation short; a lightly-regulated financial that quietly loaded up on an opaque, illiquid asset class is a hidden-leverage short.
- Prefer to "shadow" (a smaller, defined-risk version) rather than mirror the size, and pair with the macro catalyst that could trigger the re-rate.
Here: CAT — Burry's first-ever short after +86% in H1 on "sales that aren't growing that fast" (the valuation-short screen, alongside NVDA/TSLA/AMAT); and Altana shorting LNC/MET on unhedged private-credit exposure at under-regulated insurers (the hidden-leverage screen).
Watch for
- Price-up-on-flat-fundamentals divergence; lightly-regulated entities with concealed illiquid exposure; the specialist's stated rationale; and the macro catalyst for the re-rate.
9. Monitor private-credit redemption gates as a leading systemic-stress signal
The repeatable method
- Track the redemption-request % versus the structural quarterly cap across retail-facing private-credit vehicles (non-traded BDCs / interval funds). A request rate far above the 5% cap means investors want out and the fund is illiquid.
- Read repeated gating (multiple quarters at the cap, or several managers gating at once) as the leading edge of a broader liquidity squeeze, not an isolated event.
- Convert it to positioning: it corroborates shorts on the most private-credit-exposed managers and insurers, and flags contagion risk if a slowdown hits suppliers → credit → households.
Here: OWL — OCIC ($34B) took 18.8% redemption requests and Technology Income Corp a wild 38%, both hard-gated at 5%. "This private-credit issue is not over" — feeding the LNC/MET insurer-short thread and the BIS circular-financing warning.
Watch for
- Redemption-request % vs the 5% cap; repeated or simultaneous gating across managers; direct lenders' AI/IT exposure (~15% of portfolios); and the supplier→credit→household transmission path.
10. Buy the distressed name right after a solvency-fixing (dilutive) refi — via selling puts, not shares
The repeatable method
- When a shaky balance sheet completes a refinancing that removes near-term default risk but floods the market with new stock/converts, the equity overhang creates a washed-out bottom even though the company is now safer.
- Express the long through selling deep out-of-the-money puts into the elevated post-raise implied vol: you collect large premium and only take assignment (owning the stock cheaply) if it falls further.
- Frame the payoff as return-on-capital-at-risk and stagger strikes; keep it a defined trade tied to the stock reclaiming a technical level (e.g., the convert strike).
Here: SOC — Sable repaid its ~$956M Exxon loan via a $675M TLB + $345M convert + $115M equity (stock to ~$3.08), erasing default risk → +30% toward the ~$4 convert strike. Singh is long via sold 2/2.5-strike puts at high premium (~70-80% ROC), eyeing more if it clears $4.
Watch for
- A dilutive raise that fixes solvency; the resulting equity overhang / vol spike; deep-OTM put premium; and the technical level (convert strike) the stock must reclaim.
Methods distilled from the premium Special Situations Report weekly call (2026-07-05; transcript, report & deck PDFs in this folder; notes in transcript.md) for personal study. Not investment advice. © Special Situations Report for source material.