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Actionable insights — Another Golden Opportunity?

The repeatable analysis behind a gold call Haymaker endorsed but did not write: not that gold and the miners were bought, but how to read a price that refuses to obey its own bearish drivers, how to disqualify a structural bid that isn't working, how to buy apathy with an instrument that can't lie to you, how to defuse the cheap-cyclical trap by asking whether the earnings have already reset, and how to attach an exit rule to a contrarian entry — written so each step can be rerun on the next hated asset. Methods are Kevin Muir's (The Macro Tourist, Aug 8) unless marked; the decision to publish and act on them is Haymaker's.
2026-AUG-12 · Haymaker (Substack newsletter, paid) · The Haymaker Team / David Hay · guest content: Kevin Muir (The Macro Tourist) · ↗ Read · full analysis · article text
How to read this page: each insight is a method — the reasoning chain that took a trader from "I had nothing to add about gold six months ago" to "I think the gold bull market resumed this week," and took Haymaker from reading it to broadcasting it under its own masthead. The boxed line shows how it played out in this Daily. (Written newsletter — the "read" link opens the source post, and there are no timestamps.) Attribution: insights 1-6 distil Muir's stated process; insight 7 is Haymaker's editorial handling of guest research.

1. Name an asset's official drivers first — then treat a price that ignores them as evidence

The repeatable method
  1. Before forming a view, write down the two or three variables the asset is conventionally supposed to follow. Committing to them in advance is what makes the test honest — otherwise you rationalise whichever driver happens to fit afterwards.
  2. Check the drivers' recent direction. You want a stretch where they have moved decisively against the asset — not ambiguously, but hard enough that the textbook answer is unambiguous.
  3. Then look at the price. If it went where the drivers said, you have learned nothing. If it refused — held a level, went sideways, quietly firmed — you have found a discrepancy that has to be explained by someone on the other side of the tape.
  4. Interpret the refusal as accumulation, not as strength. This is the Kovner reading: a consensus the market will not confirm means a lot of people are about to be wrong. It says nothing yet about timing.
  5. Require a trigger before acting. The refusal identifies the setup; the entry is the break of an observable technical level — a moving average, a trendline — because that is what forces the offside crowd to buy back.
  6. Expect the move to be violent and to have no fundamental news attached, since its fuel is short-covering rather than a change in the drivers. Do not wait for the drivers to turn before believing it.
Here: "What is 'supposed' to drive the price of gold? Real interest rates and the US dollar. For most of the summer, the US dollar was rising and real interest rates were spiking higher, yet the price of gold refused to break below 4000. Gold was telling you that it was being accumulated." Then the trigger: "when the technical levels were broken to the upside — whether it was the 50-day moving average or the downward trendline — bearish traders were forced to cover, and the next thing you knew, gold was 350 dollars higher."
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2. Disqualify a structural bid that has been present through the decline

The repeatable method
  1. List the "everyone knows" bullish supports for the asset — the ones cited in every article about it (central-bank buying, ETF flows, a supply deficit, an official mandate).
  2. For each, ask one question: was it present during the fall? A support that was already in place while the price declined has been empirically shown to be insufficient, whatever its size.
  3. Downgrade those supports from reasons to buy to reasons the downside was contained. That is a real and useful function — it shapes position sizing and stop placement — but it is not a catalyst.
  4. Insist that the actual trigger come from a variable that has changed: positioning flushed, a price level defended, an option market repriced, an earnings estimate bottoming.
  5. Apply the same scepticism to the data on the standing bid, especially when the buyer has an interest in concealing it. Treat official figures as a floor, not a measurement — and do not build a thesis on a number the reporter is motivated to understate.
Here: after several paragraphs on Chinese and Polish central-bank buying, Muir throws it out as a trigger: "China and other central banks returning with blue tickets is not enough of a reason to buy extra gold again. These whales have been softening the decline for some time now, yet gold has been steadily falling over the past few months." And on the data itself: "it's probably safe to assume whatever they announce officially is just a fraction of their actual buying."
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3. Model the strategic buyer's incentives, not just its size

The repeatable method
  1. When a market has a large non-financial participant (a state, a central bank, a strategic stockpiler), do not assume it behaves like a fund. Ask what it is optimising for and over what horizon.
  2. A buyer accumulating a target quantity over a decade wants a low average price and is therefore an anti-momentum force: it steps back into strength and steps forward into weakness.
  3. Infer the behavioural rule from that: the strategic buyer will not compete with a speculative mania and will not let speculators front-run it, because doing so raises its own cost and hands the profit to the crowd.
  4. Invert the usual sentiment read. Widespread western enthusiasm is bearish in such a market, because it removes the biggest structural buyer; broad despair is bullish, because it brings that buyer back.
  5. Use this to time alongside the strategic buyer rather than ahead of it — buy where its incentives say it is active, which is exactly where sentiment is worst.
Here: "They are interested in buying as much gold as they can over the next decade. They want to accumulate it for as little as possible, not drive it higher over the next year… the Chinese have zero interest in letting hedge funds and other speculators move up the price of gold, and then sell it back to China for a profit. That's why the Chinese weren't going to participate in the mania." And the turn: "the speculative fervor has broken… into this new found pessimism, China has quietly begun buying again."
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4. Measure sentiment with something people have to pay for

The repeatable method
  1. Prefer sentiment gauges backed by money at risk over surveys and commentary. Options pricing, positioning data and fund flows cost their participants something to be wrong about; opinions do not.
  2. Learn the asset's structural normal before reading any extreme. Equity indexes pay up for puts (crash risk is down); gold pays up for calls, because the perceived tail is up. Comparing across assets without that adjustment is meaningless.
  3. Pick a stable, quotable construct and stick with it — here the 1-yr 25-delta call skew — and establish its ordinary range and its historic extreme from a long chart.
  4. Read a collapse in the premium paid for the upside tail as apathy in its purest form: not people betting against the asset, but nobody willing to pay anything for the possibility that it rips.
  5. Treat that as a cheap-optionality condition as well as a sentiment one — when nobody wants right-tail exposure, the leveraged expression of the trade is unusually inexpensive.
  6. Cross-check against attention: what the crowd is looking at instead. A crowded rival theme is corroboration that the neglect is real and not merely seasonal.
Here: "Gold is different from equities in that investors pay more for calls than puts… Usually, the 1-yr 25-delta call skew is around 3 or 4 vol points, but this past month, it dropped to the lowest since before COVID… Gold sentiment is so beaten up, no one is paying up for right-tail risk. That's the kind of environment that makes me like gold all the more!" The attention cross-check: "Few care about gold. They are more interested in semiconductor and memory stocks."
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5. Only take a view on what is on its way to the front page — and refuse to have one on manias

The repeatable method
  1. Grade every candidate by where it sits in the attention cycle, not by whether you think it is cheap. The target is the asset on "page 17 on its way to page 1"; the anti-target is the one already on page 1.
  2. When something is on page 1 every day, accept that you have no edge and say so. "I didn't have any value to add" is a complete and disciplined answer, and it protects the credibility you will need when you do have one.
  3. Specifically, do not short a mania on valuation. "It was a mania, and it would end when it ended, and not a moment sooner" — the absence of a timing mechanism is the reason to stay out on both sides.
  4. Keep the discarded candidate on a watchlist and re-examine it once the attention has moved on. The interesting moment is the same asset, opposite coverage.
  5. Use the crowd's current object as your clock: when the enthusiasm has clearly relocated to something else, your old page-1 asset is now on page 17.
Here: "Back at the end of 2025, it seemed like everyone was bullish precious metals. Folks asked me what I thought, and I admitted that I didn't have any value to add… gold and silver had been on Page 1 every day for a month! There was nothing more to say. It was a mania, and it would end when it ended, and not a moment sooner. Contrast that to today. Few care about gold."
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6. Defuse the cheap-cyclical trap by asking whether the earnings have already fallen

The repeatable method
  1. Whenever a cyclical screens cheap on P/E, state the standard objection out loud before anyone else does: the multiple is low because the E is about to collapse. A cheap cyclical at the top of its cycle is the classic value trap.
  2. Then test it empirically rather than dismissing it. Ask whether the commodity has already fallen and whether reported earnings have already followed it down. If both are true, the reset is behind you, not ahead.
  3. Check where the analysts' commodity deck sits versus spot. Sell-side models are famously slow to move their price assumptions, so a lagging deck means published estimates are stale in your favour once the commodity stabilises.
  4. Note the asymmetry that creates: the asset does not have to rally for estimates to rise. Mere stabilisation at the current level lifts forecasts, which bottoms EPS, which is what makes the multiple real.
  5. Frame the payoff as an estimate-revision event, since that is the mechanism that re-rates a stock, and put the historic-cheapness figure in context by naming the only prior episodes that were cheaper.
  6. Size for the possibility you are early: a bottoming process has a duration, and this method gives you a valuation floor, not a date.
Here: "Apart from the depths of the GFC and the apathy of the 2011-13 period, gold stocks have never been this cheap! They are trading at 11x! And yeah, I can hear the argument already: when commodities turn down, the P/E gets cheap because earnings are headed a lot lower… but the reality is that all of that gold decline is already in the earnings! They have declined with gold. And not only that, analysts were previously slow to raise the price of gold in their models. My guess is that if gold stabilizes here, analysts will raise estimates, and EPS will bottom. And then, once they bottom, all of a sudden, 11x looks cheap!"
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7. Attach an exit rule to a contrarian entry — and notice when the guest's rule isn't yours

The repeatable method
  1. Every contrarian entry needs a stated answer to "what if the refusal-to-fall was just a pause?" Decide it before the position exists, because the same argument that justifies buying weakness will justify buying more of it.
  2. Pick one of the two coherent rules and commit: average down into a valuation thesis with a defined range, or cut on the invalidation of a price-action thesis. Never switch rules mid-position — that is how a trade becomes an investment by accident.
  3. Match the rule to the evidence you actually entered on. A trade triggered by a technical break and a short-covering run is a price-action thesis, so it is falsified by price and belongs under "losers average losers."
  4. When you republish someone else's research, read their rule as carefully as their argument, and note where it differs from your own house discipline. Two people can share a thesis and still need opposite behaviour when it goes against them.
  5. When endorsing outside work publicly, add the caveat you would want a reader to have — most importantly what has already moved since the piece was written — and mark your own related position honestly, gain and entry price both.
  6. Keep the conditional in the instruction. "Any pull-back should render it an accumulation candidate" is a different order from "buy it," and the difference is the whole risk-management content of the note.
Here: Muir's own rule is one line — "if I am wrong… just remember Paul's other famous line: 'Losers average losers'" — the opposite of Haymaker's habitual dollar-cost-averaging into weakness (AESI, APA), published without comment. Haymaker's own additions are all caveat and conditional: the thesis is broadcast "with the caveat that both bullion and the miners have had a snappy rally of late"; its position is marked openly (AGI "Buy alert on July 27th… popped about 15% since then"); and the new idea is conditional — "any pull-back on GDX… should render it an accumulation candidate."
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Methods distilled from the paid Haymaker newsletter post (text in transcript.txt), which republishes abbreviated excerpts of Kevin Muir's The Macro Tourist (Aug 8, 2026), for personal study. Not investment advice. © Haymaker / David Hay and Kevin Muir / The Macro Tourist for source material.