The repeatable method
- When a company is a direct beneficiary of a megatrend (electrification, AI), don't stop at the demand side — ask what that same trend does to its biggest input cost.
- If the trend that lifts demand also raises a dominant cost, the position is internally hedged against itself: you're long the product and short the input. Quantify how naked that exposure is (spot vs. contracted/hedged) rather than assuming the demand tailwind flows cleanly to the bottom line.
- Treat the conflict as a structural cap on the bull case — the thesis you hold elsewhere (e.g. constructive on power) can be the very headwind here.
Here: AA is "long aluminum, short power" — smelting is among the most electricity-intensive processes on earth, so the AI buildout that drives aluminum demand also makes Alcoa's power costlier. Management hedges much of it (<1% of smelting power on spot), so it's "managed, not naked," but the structural point bites as contracts roll.
Watch for
- A demand beneficiary whose key input is squeezed by the same theme; the share of that input on spot vs. hedged/contracted; the input price starting to climb (here, power/energy tied to the same Middle-East tensions).
2. The cyclical multiple mirage — price a cyclical on P/S and mid-cycle EBITDA, not trailing P/E
The repeatable method
- Distrust a "low" trailing P/E on a cyclical: the denominator is peak-cycle earnings (record output prices + record margins), so the multiple looks cheaper than the business is.
- Cross-check with Price/Sales (far less distorted by lofty margins) — a P/S on the high side of its range while the P/E looks cheap is the late-cyclical tell.
- Re-strike EV/EBITDA on mid-cycle EBITDA, not the annualized peak quarter; cyclical smelters/producers historically trade ~5-7× mid-cycle, so a name at ~7× peak run-rate is ~9-10× mid-cycle.
Here: AA looked cheap on 2025-26 EPS, but on four-year-high aluminum; P/S was on the high side, and EV/EBITDA was ~7× on the ~$2.2B run-rate but ~9-10× on ~$1.6-1.8B mid-cycle EBITDA.
Watch for
- Trailing-P/E vs P/S divergence; the output commodity at a multi-year high; what EV/EBITDA becomes on normalized (mid-cycle) numbers.
3. Triangulate fair value as a function of the commodity price — and read the consensus gap as leverage
The repeatable method
- For a price-levered producer, build a small ladder of fair values keyed to the driving commodity: mid-cycle price, current (elevated) price, bull (holds-near-peak), and the Street's number — and see where today's price sits on that ladder.
- Decompose the upside to consensus: if fair value at current prices ≈ the stock and the Street's higher target requires the commodity to rise further, the "upside" is not a margin of safety — it's pure leverage to the commodity staying elevated.
Here: AA triangulated to ~$36-42 mid-cycle, ~$52-55 at current prices (≈ the ~$54 quote), ~$66 bull, ~$80 Street — so it was "fairly valued on cyclically elevated prices," and the ~49% upside to consensus was "pure leverage to aluminum staying at four-year highs."
Watch for
- The commodity at a four-year high; fair-value-at-current ≈ price while the Street target needs prices higher; cash flow weaker than earnings imply (here Q1 FCF −$298M and negative operating cash flow despite "strong" EPS, helped by one-time mark-to-market gains).
4. When the AI bill lands — separate a working engine from a broken near-term profit story
The repeatable method
- For a growth champion mid-investment, score the operating engine and the profitability separately: revenue/segment growth can be excellent while heavy capex flips the company to an operating loss and negative FCF.
- Recognize the pattern as the hyperscaler "capex-versus-returns recalibration" — huge AI/cloud spend with the payoff not yet visible — and that the market re-rates the stock on the broken near-term numbers, not the long-run option.
- Stack the company-specific spend against the macro backdrop (here a weak GDP target, chip-export risk, an ADR selloff) to judge how long "not yet" lasts.
Here: BABA's cloud grew ~38-40% and Qwen is widely deployed, yet ~$56B of AI/cloud capex drove the first operating loss since early 2021, non-GAAP net income −80%, and negative FCF — "the China version of the capex-versus-returns recalibration."
Watch for
- Strong top-line growth paired with an operating loss / negative FCF; capex running ahead of monetization; the catalyst that would mark profitability "stabilizing" (the add-back trigger).
5. Downgrade a cheap stock without dumping it — the "cut to HOLD" discipline
The repeatable method
- Separate valuation from risk: a stock can be genuinely cheap against targets and deserve a lower rating because the risk profile changed. Cheapness argues against selling into a capitulation; new risk argues against adding.
- The synthesis is HOLD, not Buy or Sell: keep a core for the long-term option, but stop accumulating and set explicit conditions to add (profitability stabilizes) or to cut (the macro/legal situation deteriorates further).
- Don't be the forced seller at a multi-month low; don't be the buyer averaging down into an unquantifiable overhang either.
Here: BABA at a 16-month low was cheap vs a $190-230 target (and $70B net cash → ~$165B EV), so Haymaker "would not dump into a capitulation alongside forced sellers" — but moved it from Buy to HOLD, to add only once profitability stabilizes and cut if China macro/legal worsens.
Watch for
- A holding that's cheap on valuation but newly riskier on fundamentals/legal; forced sellers (ARK/Burry) marking a low; a clearly stated re-add and exit condition rather than a vibe.
6. Price the unquantifiable overhang — a new legal/IP allegation is a risk you can't model, so size for it
The repeatable method
- When a fresh allegation (legal, regulatory, IP) lands on a position, don't try to handicap the outcome — flag it as an unquantifiable risk that widens the distribution of outcomes and raises the discount you demand.
- Note who is reacting (forced/marquee sellers) and whether the news, not the fundamentals, drove the price to its low — it tells you how much of the drawdown is sentiment vs. substance.
- Let the overhang lower the rating and the position size, not the long-term thesis, until it resolves.
Here: the Jun-25 Anthropic "distillation attack" allegation (~25,000 fraudulent accounts) pushed BABA to its 16-month low as ARK and Michael Burry sold — an overhang Haymaker called part of why this is now "a longer, riskier pick."
Watch for
- A new legal/IP/regulatory accusation with no modelable outcome; marquee investors selling on the headline; price hitting a low on news rather than numbers.