Bitcoin's $79,000 Buy Zone Has No Year, No Chart, and No Stop

The message that reached me was four lines long. A trader who posts under the handle Dr. Profit had told his followers that a dip into $79,000–$81,000 should be treated as a buying opportunity, and that he was adding to a long position he already held. No chart. No invalidation level. No year attached to the timestamp that landed in my inbox. Just a band, a direction, and the flat confidence of a man who has already made up his mind.

I have been doing this for sixteen years. I have watched a thousand of these calls scroll past, and I have watched roughly the same proportion die quietly in the archive with nobody ever scoring them. What made me sit up on this one was not the number. It was the shape of the thing. A two-thousand-dollar band on an eighty-thousand-dollar asset. A recommendation aimed explicitly at people who are already long. And a distribution chain so thin that by the time it reached me, the only surviving fact was that somebody, somewhere, at some point, liked a price range.

That is not market intelligence. That is a mood with a decimal point attached.

But moods move money, and that is exactly why it deserves a proper post-mortem. Chasing the alpha until the trail goes cold means following the scent past the headline and into the parts of the structure nobody bothered to publish. So let me take you through what is actually in this signal, what is missing from it, and why the missing pieces matter more than the number itself.

The Missing Year Is Not a Typo — It Is the Whole Story

The item is dated October 24. That is it. No year. For a price call, that omission is not cosmetic. It is fatal.

Think about what a price level means without a date attached to it. In October 2024, a band at $79,000–$81,000 sat above spot — you would have been chasing. In the weeks after the October 10 flush that the market still refers to as the largest liquidation cascade on record, the same band sits above the wreckage and below the highs, which makes it a pullback target — you would have been waiting. Same numbers. Opposite trades. One is a breakout entry, the other is a limit order in a drawdown. A reader who cannot date the call cannot act on it, and an aggregator that strips the date has stripped the only thing that made the numbers actionable.

I have been on the operations side of enough news cycles to know how this happens. A tweet goes out on a Tuesday. A content system picks it up, paraphrases it, drops it into a template, and publishes it days or weeks later with whatever date the source timestamp carried. By the time you read it, the price has already visited the level, bounced, or blown through it. The call looks prophetic in the archive and useless in the moment. In the trade we call that hindsight reporting, and it is the most common form of fake accuracy in crypto media.

There is a second possibility, and I want to be honest about the uncertainty rather than pick the flattering reading. The band may simply be a stale line on an old chart — a level drawn during a previous regime and never deleted. I have opened charts from colleagues and found three cycles of abandoned annotations on them, each one a fossil of a thesis that no longer applies. If that is what happened here, the 'target zone' is not analysis at all. It is sediment.

Either way, the conclusion converges. A price level without a timestamp is not a signal. It is a rumour with a number in it.

This is where I part company with the way most outlets would handle the story. The instinct is to argue about whether $79,000 is right. That argument is unwinnable, because the people making it are not actually trading the level — they are trading the vibes around it. The productive question is different: what would have to be true for this band to be a genuine buy zone, and can any of those conditions be verified from what was published? The answer to the second half is no. Not one of them.

Chasing the alpha until the trail goes cold, you end up at the same place every time: the source, or nothing.

What the Signal Actually Contains — Five Boxes, One Tick

I have written trading plans for desks and I have reviewed them for compliance. There is a standard I use, and it has not changed in a decade. A tradable plan needs five things: an entry zone, a timeframe, an invalidation level, position sizing rules, and a risk-reward frame. Miss any one of them and you are not holding a plan. You are holding an opinion wearing a plan's clothes.

Run this item through the checklist and the result is almost comical.

Entry zone: present. $79,000–$81,000. That is the one box that gets ticked.

Timeframe: absent. So I cannot tell whether this is a day-trade retest, a weekly swing entry, or a quarterly accumulation band. Those three are not variations on a theme; they are different instruments with different capital costs. A three-day hold and a three-month hold have completely different funding drag, different theta if you express it in options, and different tolerance for drawdown. Without the timeframe, the entry zone floats free of any risk framework.

Invalidation: absent. This is the one that should end the conversation. A level without a failure condition is a belief, not a trade. If price trades $79,000 and keeps going, at what point does the thesis die? $77,000? $74,000? The 200-day? Nobody said. And when nobody says, the reader supplies their own answer in the worst possible way — they supply hope.

Sizing: partial. He says he is adding to an existing long. That is a direction of travel, not a rule. There is no ladder, no maximum allocation, no statement of how much dry powder remains below. In practice 'adding' is the most dangerous verb in retail trading, because it is the one that converts a losing position into a bigger losing position while feeling like conviction.

Risk-reward: absent. Which means the expected value of the trade is literally uncomputable from the published text.

What is left, once you strip all of that away, is a directional view. Not a plan. And the gap between a view and a plan is the exact distance between a hobby and a profession.

I want to be fair here, because fairness is what separates analysis from outrage. A short-form post on X is not the right medium for a full trade plan, and nobody should expect one. But that cuts against the item, not for it. If the format cannot carry the information required to act, then the format should not be distributed as though it can. The aggregator took a fragment sized for a feed and republished it as though it were sized for a decision.

Two Thousand Dollars Wide Is Not a Zone — It Is a Single Print

Do the arithmetic that nobody in the chain bothered to do. A $2,000 band on an $80,000 handle is 2.5%.

Now put that next to Bitcoin's actual behaviour. In anything resembling an active regime, a single session routinely travels more than 2.5% from open to extreme. On a liquidation day it travels several multiples of that in hours. So the 'zone' is not a region you can patiently accumulate inside. It is a width that price crosses in a handful of candles, often in one directional burst, frequently with slippage on the way through.

This matters for a reason that is practical rather than pedantic. When I ran market operations for a mid-size venue, one of the recurring arguments with the risk team was about how retail orders actually cluster. The mental model most people carry is that buyers pile in at round numbers. The data says something subtler. Buy limits cluster just above round numbers, and sell stops cluster just below them. The reason is behavioural: everyone wants to be filled, so nobody puts the bid exactly on the handle where the queue is deepest; and everyone wants out before the crowd, so nobody puts the stop exactly on the handle either.

Sit with that for a second, because it reframes the entire call. A band from $79,000 to $81,000 straddles the $80,000 handle. Its upper half sits where the resting bids are. Its lower half sits in the pocket where the stops are. So the zone is not one thing. It is two markets stacked on top of each other, and the lower one is where liquidity gets taken rather than provided.

That is the difference between a level that gets bought and a level that gets swept. And nothing in the published item distinguishes between them.

There is a further wrinkle that I think is genuinely underappreciated. Because 2.5% is narrower than a typical daily range, the band is functionally a single price for anyone trading with size or with leverage. You will not get a graceful average inside it. You will get a fill at one end or the other, and which end you get is decided by microstructure you cannot see from a tweet. That makes the recommendation feel precise while being, in execution terms, almost arbitrary.

A band that narrow is not a plan for accumulating. It is a plan for feeling like you had a plan.

The Line Was Drawn Before the Price Arrived — And That Cuts Both Ways

The phrasing in the original matters. The band is described as a target zone marked on a chart. That tells you something specific: the level existed before price reached it. It was drawn in advance, not traced after the fact.

I will give credit where it is due, because this is the one genuinely positive structural feature of the item. A pre-planned level is worth more than a hindsight one. Anyone can circle a bottom after it forms. Drawing a line and then waiting is a discipline, and it implies at least a rudimentary framework — even if that framework was never shared.

But pre-planning has a failure mode that almost nobody discusses, and it is the one I see most often in my own review work. A level drawn in advance is a level drawn in a different information environment. You sketch the $79,000–$81,000 zone when funding is neutral, open interest is unremarkable, and the macro calendar is quiet. Then three weeks later price arrives, and by then funding is negative, the options skew has flipped, and there has been a central bank meeting. The line has not moved. The world underneath it has.

This is why I never treat a static level as a decision. I treat it as a question. The question is: has anything changed since you drew it? If the answer is no, the level has some claim on your attention. If the answer is yes, the level is a historical artifact and the only honest thing to do with it is redraw.

There is also an asymmetry hiding in the pre-planned framing that the item never addresses. If the zone was drawn in advance, then the author had a thesis about why price would come back to it. That thesis is the valuable part — more valuable than the number. Was it a Fibonacci retracement? A prior consolidation shelf? A volume profile node? An ETF cost-basis cluster? Each of those implies a different response if the level fails. A shelf that breaks is different from a retracement that overshoots, which is different again from a cost-basis cluster that gets abandoned.

The item gives us the number and withholds the reasoning. That is like being handed a destination with no map, no vehicle, and no statement of what you should do if the road is closed.

The Front-Run Problem — Why Publishing a Level Destroys It

Here is the part of this story that I find genuinely interesting, and it has nothing to do with Dr. Profit specifically.

When a level is private, it can work. When a level is published to a large audience, its mechanics change, and they change in a direction that is bad for the people who act on it last.

Consider what happens when tens of thousands of people are told that $79,000–$81,000 is a buy zone. The impatient ones do not wait for $81,000. They bid $81,500. Then $82,000. The zone starts acting as support before price ever touches it, which sounds like success but is actually a distortion: the market never tests the level, so the level is never validated, and the bounce happens on a thinner base than the chart will later imply. Then the latecomers, seeing the bounce, buy higher. The whole structure becomes self-referential.

Now consider the opposite path, which I think is more likely in a drawdown. Price approaches the zone from above, and the resting bids in the upper half get filled. Price keeps sliding into the lower half, where — as I said earlier — the stops live. The sweep takes out the leveraged longs who read the same tweet and entered with twenty times leverage and no invalidation. Price prints $78,400 for eleven minutes. Then it recovers.

On the daily chart, months later, that looks like a successful call. The band was touched. The bounce happened. In reality, everyone who bought inside the band with leverage was liquidated in the eleven minutes, and the people who profited were the ones who bought below the band with cash.

The published level did not predict the market. It manufactured a liquidity event that the market then resolved in the direction of whoever was paying attention.

This is not a conspiracy theory. It is just market structure. Public information about where people will buy is also public information about where people can be forced to sell. The two are the same dataset read from different ends.

And that produces the counterintuitive conclusion I keep coming back to. A widely shared buy zone is less reliable than a privately held one, precisely because it is widely shared. The edge in a level is the expectation gap it creates. Publication closes that gap. What remains is a crowd standing in a known place, waiting to be either filled or flushed, and the market gets to choose which.

Chasing the alpha until the trail goes cold, you find that the trail ends in a crowd. That is usually where the alpha was buried.

Where the Stops Live — A Microstructure Reading of $79,000–$81,000

Let me get concrete about what I would actually look at if I were forced to trade this band, because the abstraction is where people get hurt.

First, I would want to know the shape of the book beneath $80,000. Not the depth chart — those are misleading, because spoofed size sits there and evaporates on approach. I would want the liquidation heat map, which is a rough proxy for where leveraged positions die. If there is a dense cluster of long liquidations in the $78,000–$79,500 region, then the bottom of the published band is not a support level. It is a magnet, and magnets get visited.

Second, I would want the funding rate history for the preceding two weeks. Positive funding with rising open interest into a pullback tells you longs are crowded and paying to stay. Negative funding with falling open interest tells you the flush already happened and the band might actually hold. These are opposite worlds that produce identical charts at the moment of contact.

Third, I would want the basis. If the perpetual trades at a discount to spot during the approach, someone is hedging or exiting, and the band will be sold into. If it trades at a premium, the dip is being bought aggressively in derivatives before spot even arrives.

Fourth, I would want the options skew. A put skew that steepens as price approaches the band means the derivatives market is pricing real downside risk. A put skew that flattens means the market thinks the band is noise.

None of this is exotic. All of it is standard. And not one piece of it appears anywhere in the published item, the aggregation of it, or the framing around it. A level call with no derivatives cross-check is a naked directional view dressed as a technical one. That is the single largest analytical gap in the whole chain, and it is invisible unless you know to look for it.

I will add one more piece of microstructure that I think is genuinely useful and rarely stated plainly. When a level is described as a 'buy zone' rather than a 'support level', the language has already done work. Support is a description of observed behaviour — buyers showed up here before. A buy zone is an instruction. The first is a hypothesis. The second is a command. And commands do not come with error bars, which is precisely why they spread faster than hypotheses do.

Who Is Selling at $79,000? The Question Nobody Asked

Every price is a transaction, and every transaction has two sides. The item tells you, at length and with enthusiasm, who should be buying. It never once asks who would be selling.

That is a strange omission, because the identity of the seller determines everything about what happens next.

If the seller is a leveraged long getting liquidated, the selling is mechanical, finite, and price-insensitive. It ends when the positions are gone. That kind of selling produces violent wicks and fast recoveries, and it is exactly the environment in which a published buy band accidentally works.

If the seller is a miner covering operating costs, the selling is persistent and somewhat price-insensitive until it is not. Miners do not stop selling because a chart line says so. They stop when the marginal producer becomes unprofitable and hashrate capitulates, which historically has been a slow, grinding process measured in weeks.

If the seller is an ETF holder redeeming, the selling is institutional and reflexive. It shows up in the creation and redemption data a day later, and it tends to persist because allocators rebalance on schedules, not on vibes.

If the seller is a macro fund reducing risk ahead of a data print, the selling has nothing to do with Bitcoin at all, and the band is simply in the way.

Four sellers, four completely different forward paths, and the item collapses them all into one sentence: buy the dip. That is not analysis. That is a preference.

I have made this mistake myself, and I will own it. During the DeFi Summer of 2020 I was pushing liquidity mining narratives hard, running daily community calls, riding the sentiment. I missed a smart contract risk that a five-minute read of the code would have flagged, because I was looking at the community energy and not the contract. The lesson I took from that cycle was not 'be more careful'. It was more specific: always name the counterparty to your own thesis. If you cannot say who is on the other side of your trade and why they are wrong, you do not have a thesis. You have a mood.

The item has a mood. It does not have a counterparty.

The Miner Band Nobody Prices

There is one genuinely interesting fundamental angle buried in this price range, and it is the one the item never touches.

Bitcoin's fourth halving landed in April 2024, cutting the block reward to 3.125 BTC. The next one is not expected until 2028, so supply issuance is not a live variable in this discussion. But cost structure is. High-cost miners — the ones paying premium electricity rates, running older rigs, or operating in jurisdictions with expensive power — have breakeven costs that get cited in the $70,000–$90,000 range depending on the fleet. That is not a precise number and anyone who quotes it precisely is guessing, but the band is real enough to matter.

So here is the thing. If price actually reaches $79,000–$81,000, it is entering the zone where a slice of the mining industry stops being profitable. That has two consequences pulling in opposite directions, and the item only gestures at one of them implicitly.

Near term, it is bearish. Miners who are underwater sell reserves to keep the lights on. Treasury balances decline. Spot supply increases exactly when sentiment is weakest. That is the mechanism that produces capitulation wicks.

Medium term, it is bullish, and this is the part that gets lost. Miner capitulation is historically a late-cycle marker, not an early one. When the marginal producer is forced out and hashrate drops, the surviving fleet is lower cost, the selling pressure exhausts itself, and the market tends to find a floor in the vicinity. Not because of magic, but because the forced seller has finished selling.

Which means the band in question sits on top of a fundamental fault line that could make it either a trap or a genuine bottom, and the difference is decided by hashrate data that the item does not reference once.

That is the kind of gap I find more interesting than the price level itself. The number is the least informative part of the whole story. The geology underneath the number is where the actual information lives, and it was left entirely unexplored.

The ETF Cost-Basis Ghost

One more layer, because this one has become genuinely important in the current structure and it is almost never modelled properly.

Since the spot ETFs launched, there is a new class of holder with a new class of behaviour: institutional allocators with published cost bases. If a meaningful cohort of ETF shares was accumulated in a particular price range, that range becomes a psychological and behavioural line. Holders in profit behave differently from holders in drawdown. Advisors get questions. Rebalancing rules kick in. Redemptions can accelerate.

I want to be careful here, because the honest answer is that I do not know the distribution of ETF cost bases from the published item, and neither does anyone reading it. That is the point. The item makes a claim about a price level without referencing the single largest structural change in Bitcoin's holder base in the last two years.

If the band sits above the aggregate ETF cost basis, it is a dip in a profitable market and the buy case is straightforward. If it sits below, it is a breach of the institutional waterline, and the reflexive selling from allocators who are now underwater is a different animal entirely. Same band, opposite conclusion, and no way to tell from what was published.

This is the recurring pattern with this item. Every layer I open reveals the same structure: a number, with the surrounding context surgically removed. By the time it reaches a reader, the signal has been reduced to its least informative component.

What My Desk Sees That the Tweet Cannot

Let me give you the view from the exchange side, because it is genuinely different from the view from a chart.

When I sit in front of order flow, I do not see levels. I see intentions with sizes attached. A resting bid at $80,200 with a particular size and a particular refresh pattern tells me something about whether it is real. A bid that appears, gets hit, and reappears at the same price is a market maker defending inventory. A bid that appears and vanishes as price approaches is a spoof. Both look identical on a candlestick.

This is why I have become sceptical of level-based calls in general, and it is not a knock on technical analysis as a discipline. It is a knock on the version of it that gets distributed to retail audiences, which strips out the execution layer and keeps only the geometry. Geometry is the easy part. Anyone can draw a line. The hard part is knowing whether the liquidity at that line is real, and that question cannot be answered from a chart at all.

The other thing my desk sees is the asymmetry of information flow around published calls. When a level circulates widely, I can watch the order book around it thicken in ways that have nothing to do with organic demand. Bids stack up above the level. Stops stack up below. The band becomes a small weather system with its own microclimate, and the price action inside it stops reflecting the broader market and starts reflecting the crowd that read the same post.

That is a genuinely underappreciated risk of consuming this kind of content. You are not just receiving information. You are joining a cohort whose behaviour is now predictable to anyone who can see the cohort forming. And the people who can see it forming are, overwhelmingly, the ones with the best data and the fastest execution.

Chasing the alpha until the trail goes cold, you learn to read the crowd instead of the chart. The chart is downstream of the crowd.

The Pseudonym Is the Product

I want to spend a moment on the name, because I think it is doing more work than most readers realise.

Dr. Profit. A handle that combines academic authority with financial outcome. It is not an accident. Handles like this are chosen, and they are chosen to borrow credibility that has not been earned. Nobody verifies a doctorate. Nobody audits the profit. The name itself performs the function that a track record would otherwise have to perform.

This is not a personal attack on whoever runs the account. It is an observation about a media format. In an attention economy, the credibility signal and the credibility itself are decoupled, and the signal is much cheaper to produce.

What would actual credibility look like? A published history of calls with entries, exits, and outcomes — including the losers. Position disclosures. A stated methodology. A willingness to be scored. These things exist in the industry; there are traders who publish exactly this. They are less viral than the ones who do not, because accountability is boring and ambiguity is shareable.

And here is the part that should make readers uncomfortable. The item explicitly says the author is currently running the strategy he is recommending. That is the only piece of conflict-of-interest information in the entire chain, and it is presented as a credential rather than a disclosure.

It could be read generously. Skin in the game is a real thing, and a trader who puts his money where his mouth is deserves more credit than one who does not. But it can also be read the other way, and the other way is at least as likely. Someone who is already long is structurally predisposed to see a dip as a buying opportunity, because the alternative is admitting the position is wrong. That is position bias, and it is the most universal cognitive distortion in markets. It affects me. It affects everyone. The only defence is to name it out loud, and the item does not.

A rigorous version of this post would open with the disclosure, in bold, before the recommendation. It would say: I am long, I intend to add, and you should weight my view accordingly. That is not a difficult thing to write. It is just an unglamorous one.

The Compliance Hole Nobody Marks

There is a regulatory dimension here that the crypto media ecosystem systematically ignores, and it is worth stating plainly.

In most major jurisdictions, publishing specific buy and sell recommendations for financial instruments is a regulated activity. It requires licensing, or it requires clear framing as general information rather than personalised advice. Crypto sits in a grey zone in some places and a not-so-grey zone in others, but the direction of travel globally is toward treating influencer-level price calls as a regulated activity when they are distributed at scale.

The item carries no disclaimer. No 'not investment advice'. No statement of the author's qualifications. No disclosure of compensation or affiliation. And the aggregator that republished it added nothing — no context, no counterpoint, no warning.

I am not naive about this. Disclaimers are cheap and they do not stop anyone from losing money. But their absence is a signal about intent and process. A publisher who does not bother to type 'not investment advice' has not thought about the reader as someone who might act on the words. They have thought about the reader as an audience.

There is a larger structural point underneath this. If the same content pipeline is generating hundreds of these items — a KOL quote, a price level, a headline — then what exists is not journalism with occasional lapses. It is industrial-scale distribution of unlicensed directional calls, with a news aesthetic layered on top. That is a pattern regulators have started to notice, and I expect it to become considerably more expensive to operate over the next few years.

For the reader, the practical takeaway is simple and slightly uncomfortable. If a piece of content does not tell you who is talking, what they hold, and what would prove them wrong, treat it as entertainment. Not because it is necessarily wrong. Because you have no way to distinguish wrong from right, and a coin flip with a confident voice is still a coin flip.

The Contrarian Read — The Signal Gets Weaker the More People Believe It

Here is where I want to push against the obvious conclusion, because the obvious conclusion is that this item is worthless.

It is not worthless. It is misclassified.

As a trade plan, it fails on four of five criteria and should be discarded. As a sentiment data point, it is genuinely informative, and I think this is the most useful thing anyone can take from it.

Consider what the item tells us about the state of the market's mind. A trader with a following is publicly stating that a drawdown into the high seventies should be bought, and that he is adding. That is not a neutral observation. It is a reading of where the consensus wants to be. It tells you that the dip-buying reflex is intact, that the community still believes in the higher-low structure, and that the fear of missing the next leg up is stronger than the fear of the drawdown in progress.

That is a real datapoint. It is just not a price level.

And now the inversion, which is the part I find most valuable. When buy zones start being published in advance, in converging ranges, by multiple voices, the zones themselves become less reliable — not more. A consensus support level is a level where everyone is already positioned. There is no marginal buyer left to do the lifting. The ammunition gets spent before the battle.

I have watched this happen in three cycles now. The pattern is always the same. First, one respected voice names a level. Then three more name something close to it. Then the level becomes a meme, and everyone is waiting there. Then price either never gets there, because the crowd front-runs it, or it goes through it, because the crowd's stops are the liquidity. The level that everyone agreed on is the level that fails, and the failure is not random. It is caused by the agreement.

Which leads to a conclusion that sounds paradoxical but is not. The most useful thing about a widely published buy zone is that it tells you where the crowd will be wrong. Not where to buy. Where the trap is set.

I would not trade this band. I would note it. I would put it on a list of consensus levels and watch what happens when price approaches, because the reaction at a crowded level tells you far more about market health than the level itself. If price approaches $79,000–$81,000 and buyers absorb everything without a wick, the market is stronger than the chart suggests. If price wicks through and reverses, the level did its job as a liquidity sweep. If price goes through and stays through, the consensus was wrong and the next support is somewhere nobody has drawn yet.

Three outcomes, all informative. None of them requiring you to have taken the trade.

The Only Honest Way to Use This

If you are going to consume this kind of content — and you will, because it is everywhere — here is the discipline I would suggest, drawn from sixteen years of watching people get this wrong in both directions.

Write the call down. Date it. Record the level, the source, and the claimed position. Then score it later. That single habit will change how you read everything, because after about twenty entries you will have your own personal dataset on which voices are worth listening to and which are noise. Nobody can give you that dataset. You have to build it.

Separate the level from the reasoning. If there is no reasoning, there is no level worth tracking. A number without a mechanism is a guess, and guesses should not occupy space in your risk framework.

Insist on the invalidation. If a call does not come with a failure condition, supply your own before you act — and then honour it. The absence of a stop in the source material does not mean you get to trade without one. It means you have to do that work yourself, and if you are not willing to, you should not be in the position.

And finally, price the conflict. Anyone telling you to buy something they already own is telling you something about themselves, not just about the asset. That is not disqualifying. It is just information you should be holding when you size the trade.

Takeaway — Three Prints to Watch Before You Believe Any Band

So where does that leave us? Not with a verdict on $79,000, because a verdict is not available. With a watchlist.

Watch the funding rate the week price approaches the band. If longs are paying heavily to hold into the dip, the band is a liability, not a support. If funding has already reset to neutral or negative, the flush has likely happened and the level has a real chance.

Watch hashrate and miner treasury data. If the approach to the high seventies coincides with a hashrate drawdown, the fundamental fault line I described is activating, and the band becomes genuinely interesting on a multi-week horizon regardless of what any chart says.

Watch ETF creation and redemption flows for the two sessions after any touch. Institutional behaviour at a level is the only confirmation that actually costs money to fake.

And watch the crowd. If the next two weeks bring a wave of similar calls clustering in the same range, treat that as a warning rather than a confirmation. The level everyone agrees on is the level the market is coming to collect.

I will keep the band on my screen. Not because I believe it. Because I want to see what happens to the people who do. That is the only honest reason to follow a call like this — not to act on it, but to learn what it reveals about the market's state of mind.

Chasing the alpha until the trail goes cold, you eventually stop asking where the price is going and start asking who is standing at the level waiting for you. That question has an answer. The price does not.