1. Sell a parabola in tranches — dollar-cost-average out through the "hockey stick phase"
The repeatable method
- Identify when a position or group has entered the hockey stick phase — the near-vertical segment of the chart where the rate of ascent itself is accelerating. That, not a price target, is the trigger.
- Do not try to pick the top and do not sell all at once. Start a scheduled series of sell-downs — a dollar-cost-average in reverse — while the move is still going up.
- Accept that this looks wrong in real time: "it often looks overly cautious as the lift-off hits its maximum acceleration." Judge the tactic on the average disposition price after the correction, not on whether any single sale was the high.
- After the exit, impose a quiet period: do not re-endorse the group until price and fundamentals give a fresh, specific entry number — the discipline that keeps the round trip from becoming a round trip back to flat.
- Re-enter on an explicit valuation trigger, and say so plainly ("at $29 this is an attractive buy point"), rather than on a feeling that the selling is "done."
Here: Haymaker "did suggest profit-taking into the extraordinary move gold stocks had… Our approach was to implement a dollar-cost-averaging process as this group was going vertical… our default tactic when prices enter the hockey stick phase." The senior-miner ETF then fell 35% from end-February and AGI halved from ~$55 to $29 — after which "thus far, we've avoided re-endorsing the gold miners. However, at $29… an attractive buy, or buy up, point."
Watch for
- A chart whose slope is steepening week over week; the urge to "let it run" at maximum acceleration; and, on the way back down, a pre-set re-entry price rather than an open-ended wait.
2. Trade index inclusion and removal against the fundamentals — the flow is mechanical, the business is not
The repeatable method
- When a name is added to an index, recognize the resulting move as forced buying, not a verdict on the business. Ask separately: are fundamentals improving or deteriorating into that lift?
- Inclusion + deteriorating fundamentals = sell. The flow has manufactured an artificial price you would not otherwise get — "a great time to ring the cash register."
- When a name is removed, run the mirror test: index funds must sell regardless of outlook. Removal + improving fundamentals = buy. The decline has a known, non-fundamental cause and a known end date (once the rebalance clears).
- Size the opportunity by how far the mechanical move has overshot: measure the drop from the pre-announcement price and check that the operating outlook has genuinely turned (industry cycle, volumes, pricing) before committing.
- Enter partially when the fundamental upswing is real but "tentative" — full size is for when the cycle confirms.
Here: AESI ran to $24 in Jan 2025 on S&P small-cap-growth inclusion — "this spike ran counter to AESI's deteriorating business conditions back then; thus… a great time to ring the cash register." Now, removal "from a number of S&P Small Cap Growth indexes" has crashed it sub-$12 "at a time when the outlook for oil services companies is on the upswing, albeit tentatively" — so he is "buying a partial position here" and moving it back to the Buy List.
Watch for
- Index add/delete announcements and rebalance dates; a price move that has no operating explanation; and the direction of the underlying cycle at the moment the flow hits — that pairing is the whole trade.
3. Price a natural disaster as a timing discount, not a thesis break
The repeatable method
- When an operator is hit by a physical, non-recurring event (earthquake, flood, fire, mine collapse), quantify the actual damage in units — how much production was lost this quarter, how much guidance came down for the year.
- Test whether the event touches the asset base or only a period's output. If the reserves, grades and mine plan survive intact, the hit is a cash-flow timing issue, not an impairment of value.
- Check the forward estimate line: if next year's consensus steps back up (and the multiple on it is low), the market is pricing the accident as permanent when the industry treats it as routine — "common in the mining industry, but they tend to fade into insignificance over time."
- Buy the discount only with the long-term asset metrics confirming quality (growing reserves, improving grades) — a one-off on a low-quality asset is not the same trade.
Here: the Young-Davidson earthquake forced "a 12% cut in AGI's production estimate for the second quarter and a reduction in full-year output projections" — yet consensus is $2.32 for 2026 and $3.27 for 2027 ("less than 10x forward earnings"), with reserves "almost tripled… over the last 10 years" and grades "improved by roughly 35%."
Watch for
- The quarter-vs-year split in the guidance cut; an unchanged reserve/mine-plan disclosure; a forward EPS line that recovers; and a multiple computed on the recovered year, not the damaged one.
4. Use retail flows in a sector as a contrarian gauge — apathy after a great year is the buy
The repeatable method
- Pull the retail fund-flow data for the sector (broker/bank flow reports) rather than relying on anecdote or price action.
- Compare the flow to the sector's recent realized returns. The signal is the mismatch: heavy retail outflows or negativity after a spectacular year is the bullish extreme; heavy inflows after a spectacular year is the warning.
- Justify the contrarian reading with the base rate — retail's "recurring tendency to be on the wrong side of the bull and bear moves" in that specific group; this works where retail is a large, momentum-driven marginal buyer (miners, commodities, thematics).
- Combine with a valuation trigger before acting; sentiment alone sets the odds, price sets the entry.
Here: an RBC retail-flows chart shows "retail investors continue to demonstrate a negativity to the miners that is truly remarkable considering how phenomenally they performed last year, ripping over 150%… We view this as a bullish factor."
Watch for
- Sector flow data diverging from trailing returns; retail selling a group that just made record profits; the same tell inverted (inflows into a spent rally) as the exit signal.
5. Separate tax-loss selling from business deterioration — and buy the November washout
The repeatable method
- In a name already down sharply on genuinely poor quarters, ask in November whether the final leg of weakness is being aggravated by tax-loss selling — investors dumping losers to book losses before year-end.
- If so, treat the December low as artificial and expect a January rebound once the pressure abates; the trade is to accumulate into the forced selling, not to wait for good news.
- Verify afterwards: if the stock snaps back with no fundamental change, the diagnosis was right — then step the rating down as the price runs (buy → hold → trim) rather than riding it round trip.
Here: "Last November, we thought it was likely a victim of tax-loss selling… Fortunately, that turned out to be the case, as it rallied back to near $12 by January… At that point we moved it to a hold," then close to $19 by May and lowered "to a Trim" on May 15 — "a truly spectacular return for anyone who bought last November."
Watch for
- A big year-to-date loser making new lows in November on no news; the turn of the calendar; and a pre-planned ladder of downgrades on the way back up.
6. Own the physical bottleneck, and price the moat that competitors cannot copy
The repeatable method
- Trace the commodity's production chain to the input that is non-optional — the thing without which output simply cannot happen ("you simply can't produce shale crude without frac sand").
- Confirm the supplier's position in the single most important geography for that output, and check the market structure: a consolidation to near-duopoly implies pricing power in the next up-cycle even while spot pricing is currently soft.
- Identify a physical infrastructure asset no competitor has and translate it into unit economics (here, a conveyor that removes trucking cost from the delivered price) — that is the durable spread, not the commodity price itself.
- Separate the two signals: volumes recovering tells you the cycle has turned; pricing still soft tells you it is early. Buy the early stage partially.
- Add optionality the market is ignoring (an adjacent, growing business line) as free upside rather than the reason to own it.
Here: AESI is "the leading frac sand provider in America's most important oil-producing basin, the Permian"; "sand volumes are recovering, though pricing remains soft"; the Dune Express conveyor "delivers sand close to drilling sites and greatly lowers transportation costs" and "none of its competitors have anything like this invaluable infrastructure asset"; "the frac sand business has become almost a duopoly… very strong pricing power in the next up-cycle"; plus a "growing power supply business."
Watch for
- Volumes turning before price; industry consolidation to two or three players; a capital asset that structurally lowers delivered cost; and a valuation that credits none of it.
7. Ask whether a peer's bad quarter is already in the price before treating it as a reason to wait
The repeatable method
- When a close competitor misses, note that the market extrapolates the miss across the group ahead of the name's own report.
- Measure what has already been discounted: the size and speed of the decline since the peer's print (or since the position's own downgrade) is the market's implied bad-quarter charge.
- Take the position anyway — partially — if the collapse plausibly covers the miss; keep the remaining capital for the report itself. The stance is "that's certainly possible, but it appears well-discounted," not a denial that the miss could repeat.
Here: "One key near-term caveat is that its quasi-competitor, Liberty Energy (LBRT), recently reported a disappointing quarter. The market seems to be assuming AESI will, too. That's certainly possible but such an outcome now appears to be well-discounted after the price collapse since May."
Watch for
- A peer print that resets the whole group; the magnitude of the sympathy sell-off; and the target's own earnings date as the moment to complete (or abandon) the position.
8. Underwrite the commodity and the operator as two separate decisions
The repeatable method
- For any producer, state explicitly that the underlying commodity price is "often THE most critical" variable — then form a view on it on its own evidence, independent of the stock.
- Decide whether the commodity's decline is a correction within a bull market or a regime change, using structural buyers and monetary drivers rather than price momentum (here: central-bank buying, rising sovereign-bond-crisis odds, ongoing fiat debasement).
- Only then layer the equity-specific work — valuation, reserves, grades, one-off events — on top. A cheap operator under a broken commodity is a value trap; a cheap operator under a still-intact bull market is the setup.
Here: "The price of bullion is, of course, a critical aspect, often THE most critical, for a gold miner. That, too, has come down hard, but we suspect it is a correction within an ongoing bull market. Central banks around the world remain aggressive buyers… the odds of government bond crises becoming more acute are rising by the day… the long-term monetary trend in most developed countries remains one of fiat currency debasement."
Watch for
- Structural, price-insensitive buyers of the commodity; the debasement/fiscal backdrop; and whether the equity's discount is being driven by the commodity or by something company-specific you can diagnose separately.