How many stops between the event and you
Take a piece of news apart and you'll find that “published” is quite late in the journey:
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The thing is forming
An approval is progressing, an institution is preparing an announcement, a vulnerability is being discovered. A small number of people already know a possibility exists, even without knowing the outcome.
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Expectations form
Clues surface in public information: filings, hearing calendars, industry discussion. The market begins pricing the probability of the thing happening. Price is already moving before any result exists.
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The result is published
An official channel releases it. Automated systems read and react in milliseconds; professional participants in seconds.
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Media processing and distribution
Writing, translation, platform distribution, algorithmic recommendation. By the time you see it, minutes to days have passed.
Stage two is the crucial one: markets price probabilities, not facts. Something considered 80% likely is already 80% in the price; when it actually happens, only the remaining 20% of adjustment is left.
“Good news lands and price falls” is not perverse
This confuses a lot of people, and within expectation pricing it's entirely natural, for three reasons:
- The impact was already absorbed. Price reflected most of it while the expectation formed; the confirmation carries no new information.
- The uncertainty disappeared. Before resolution, the uncertainty itself attracts positioning; once the answer is known, the reason for that positioning is gone and it gets closed.
- The expectation gap is the real variable. Markets don't compare “good versus bad”, they compare “better or worse than assumed”. Good news that is less good than expected functions as bad news.
The clearest examples are long-debated regulatory approvals and rate decisions — see how ETFs affect price and Fed rates and bitcoin.
Don't ask “is this bullish or bearish”. Ask: “how does this differ from what the market already assumed?” The first question carries almost no information; the second corresponds to where price movement actually comes from.
Where you sit on the chain
Stating this isn't meant to depress you — it's meant to stop you doing pointless things.
On the same piece of news, automated systems respond in milliseconds, professional desks in seconds, and you respond at the speed of noticing a push notification. That gap isn't closable with effort; it's structural. Which means any “see the news, act immediately” approach is competing on the dimension where you are weakest.
There's also a counterintuitive corollary: the faster a piece of news reaches you, the more it has already propagated. Anything that reaches a general audience has necessarily passed through every faster link first.
So what is news good for?
Plenty — with a different purpose: not for deciding, but for understanding.
- As a candidate for attribution. When you reach step five of the crash checklist you need a primary record you can match to a timestamp; news is the index that helps you find it.
- As a signal of long-run structural change. Regulatory frameworks, capital channels, infrastructure — these operate over months and years and don't require you to react within minutes. This is the category an ordinary reader can genuinely use.
- As an observation of expectations. Reading what the market assumed beforehand teaches you what an “expectation gap” looks like in a real case.
How to verify that something was already priced
- Find the primary timestamp: the publication time of the official notice or filing, to the minute.
- Line the price action up against it: did the bulk of the move happen before, at, or after that moment?
- Look at the shape beforehand: a clear trend already underway before publication means expectations were doing the pricing.
Do this a few times and your resistance to “the news caused the move” storytelling improves markedly.
Three kinds of event get priced at different speeds
“Already priced in” is not a switch. How fast something gets absorbed depends on what kind of event it is, and separating these three tells you which ones are still worth attention.
- Scheduled events (rate decisions, approval deadlines, halvings) — priced earliest. The date is public well in advance, expectations have time to form, and by the time it lands only the expectation gap is left. If you're reading about one of these in the news, you are almost certainly late by definition.
- Progressively disclosed events (filings, hearings, holdings disclosures) — priced in instalments. Information arrives piecemeal and the price absorbs it the same way, with no single moment of landing. These are worth tracking as long-run structural change, not as trade triggers.
- Genuine surprises (platform failures, exploits, sudden enforcement) — the real thing. Nobody formed an expectation, so the reaction is concentrated after disclosure. But by definition a surprise can't be prepared for — all you can do is work out afterwards which layer it belongs to.
The practical value of the split: when your news belongs to the first two categories, chasing it is close to pointless; when it belongs to the third, you are reacting after the fact along with everyone else. In neither case is “act on the headline” an advantaged position.
Three questions that follow
“So should I just not read news?” Depends what you want. To understand how the market works, following long-run structural change is enough. To make decisions from short-term news, this article explains that you sit at the end of that chain. We give no operational advice — only the structure.
“Why does price sometimes move violently only after publication?” Because that item genuinely exceeded expectations — in direction, in magnitude, or because it wasn't being discussed at all. Only real surprises produce large moves, and surprises can't be prepared for. It's also why “major news” and “large move” don't reliably coincide: the more thoroughly something was discussed, the smaller the reaction when it lands.
“Don't people who know in advance have an edge?” In most jurisdictions trading on undisclosed material information is regulated, and crypto's framework is still developing. We don't discuss how to obtain such information; it's neither legal nor within our scope. For an ordinary reader the correct inference isn't “go find inside information” but “stop competing on the time dimension where you're weakest”.