SuperEx Educational Series: Understanding How Are Market Expectations Priced In Before an Announcement?（II）

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Crypto markets often produce a curious pattern.
Before a project publishes any official announcement, its token has already been rising for days. Once the announcement finally appears, everyone suddenly realizes: "So that was what the earlier rally was about."
The comments quickly split into two groups.
One group claims the market had inside information. The other says smart money positioned early. Soon, a third group appears. They usually analyze nothing and simply write: "Those who know, know."
An early price move does not necessarily mean someone obtained confidential documents.
More often, expectations gradually form from incomplete but publicly available clues. Code updates, governance proposals, testnet activity, recruitment information, wallet flows, partner statements, and product progress can all cause participants to revise their views of future outcomes.
Once those judgments turn into actual trades, expectations stop being opinions in a group chat and begin entering the price.
The full process of pricing in an event is therefore not simply someone discovering the answer. It is the market collecting clues, updating probabilities, building positions, and influencing itself through price movements.

Information Doesn't Appear Out of Nowhere - It Usually Follows a Chain of Communication
The version seen by ordinary users is usually the final one: a polished announcement, partnership poster, or official press release.
Before that final publication, however, the market may have passed through several information stages.
Stage One: The Event Is Not Confirmed, but Clues Appear
A project's code repository may become unusually active. Testnet interactions increase. A governance forum begins discussing a new fee mechanism. The team recruits engineers in a specific field. A potential partner's wallet frequently interacts with the project's contracts.
No individual clue proves the final outcome, but each can change the estimated probability that an event will occur.
Suppose the market initially estimates a 40% probability that an upgrade will launch on time. After a completed code audit, stable testnet operation, and successful governance vote, that probability may rise to 60%, 75%, or even 90%.
Prices do not need to wait until the probability reaches 100%. As soon as participants believe the chance of success has increased, some capital may begin buying.
Stage Two: Clues Become a Narrative
Isolated clues are difficult to spread, while stories spread easily.
"The project repository received 27 updates" sounds technical and boring. "The mainnet may launch early" travels much faster on social media. Markets compress scattered evidence into a simple narrative and begin trading around it.
The problem is that narratives often become more certain as they spread.
An initial "possible partnership" becomes an "upcoming partnership" after several reposts. A few reposts later, people are already estimating billions in new revenue. Nothing has been signed, but the valuation model has apparently gone on holiday.
Stage Three: Opinions Become Positions
Opinions alone do not necessarily move prices. Prices change when participants commit capital to those opinions.
Researchers may buy spot tokens, short-term traders follow momentum, market makers adjust quotes, arbitrageurs compare prices across venues, and long-term holders may reduce selling because their expectations have improved.
An important detail is that prices can rise not only because of new buying, but also because selling decreases.
If holders who intended to sell decide to wait, supply in the order book becomes thinner. Even without a dramatic increase in buying, reduced selling can move prices higher.
Stage Four: Price Becomes New Information
Once the price rises consistently, people who previously ignored the project begin paying attention.
Top-gainer lists, volume rankings, social discussions, and chart breakouts transform the price movement into a new signal: "Does someone know something in advance?"
A rally originally driven by fundamental clues may then attract momentum and sentiment-driven capital. Higher prices strengthen confidence in the expected event, and stronger confidence brings additional buying.
A feedback loop emerges: Clues improve expectations, expectations move prices, prices attract attention, and attention further strengthens expectations.
Stage Five: The Announcement Confirms or Breaks the Narrative
Once the official announcement arrives, the market can finally compare the earlier narrative with the actual result.
If the result clearly exceeds expectations, valuations may rise further. If it merely confirms what everyone already believed, the price reaction may be limited. If the details disappoint, the earlier narrative begins to break down.
The announcement is therefore not necessarily the beginning of price discovery. It is closer to a settlement event.
It brings earlier rumors, probabilities, positions, and emotions to the same table and tells the market that it is time to check the answer.
How Does the Market Price In Events That Haven't Happened Yet?
Markets cannot purchase the future directly. They assign values to different outcomes and estimate the probability of each outcome.
This is the core logic of expectation pricing: a market price does not necessarily represent one future. It may contain several possible futures at once.
Build Scenarios Instead of Guessing One Answer
Suppose the ORBIT protocol will announce a governance result in one month. The market sees three possible outcomes:
Optimistic scenario: fee buybacks and revenue distribution both pass, producing a $2 valuation;
Base scenario: only fee buybacks pass, producing a $1.40 valuation;
Pessimistic scenario: the proposal fails, returning the value to $0.70.
If the market assigns probabilities of 30%, 50%, and 20% to these scenarios, a simplified probability-weighted price would be approximately $1.44.
This number is not a prediction of one outcome. It is a blended value of several futures using current probability estimates.
The project then releases a governance summary showing significant resistance to revenue distribution, while fee buybacks have broad support.
The optimistic scenario may fall from a 30% probability to 15%, while the base scenario rises from 50% to 70%. Even without a final vote, the price may change because the probability distribution has changed.
This is what markets do every day.
They do not simply record the answer after the future arrives. They continuously revise the probability of each answer before it happens.
Higher Probability Does Not Mean Certainty
Suppose the expected probability of approval rises from 40% to 80%. The price will often increase in advance.
But 80% still contains a 20% probability of failure. If the application is rejected, the price may rapidly move from a high-probability success valuation to a confirmed-failure valuation.
This is why some sudden declines appear much larger than the headline alone would suggest.
Before the announcement, the price may have been based on a very high probability of success. Once the low-probability failure occurs, the market does not make a small adjustment. It removes the entire success scenario.
Who Shapes Market Expectations?
"The market believes" is one of the most common and convenient phrases in financial writing.
The market is not one person voting in a meeting room. It consists of participants with different information sources, capital sizes, time horizons, and risk tolerances.
Research-Driven Capital: Trading Changes in Information and Fundamentals
Research-oriented participants examine code, governance, finances, token economics, and on-chain data. They may adjust valuations before a public narrative becomes widespread.
Earlier research does not guarantee correct research. Information may be misinterpreted, partnerships may be canceled, technology may be delayed, and economic models may rely on incorrect assumptions.
Market Makers: Trading Order Flow, Not Necessarily the Story
Market makers may not care about the latest community narrative. They focus on order imbalance, cross-venue price differences, and inventory risk.
When buying consistently exceeds selling, they may raise quotes to avoid continuously selling inventory too cheaply. The price rises, but that does not mean the market maker believes the story.
Arbitrageurs: Spreading Expectations Across Venues
If a token rises on Exchange A because of event expectations while remaining cheaper on Exchange B, arbitrageurs may buy on B and sell on A.
This causes prices across venues to converge and allows an expectation that began locally to spread across the broader market.
Momentum and Sentiment Capital: Trading the Price Movement Itself
Some participants do not investigate the source or estimate event probabilities. They buy because the price breaks out, volume increases, or social attention rises.
They are not trading the original information. They are trading the price traces left after others have already acted on that information.
A single rally can therefore contain fundamental analysis, order-flow adjustment, cross-market arbitrage, and emotional chasing.
Treating every buy order as proof that "the market has confirmed the positive news" can lead to a serious overestimation of consensus quality.
Rising Prices Can Reinforce the Belief That "The News Must Be True"
Expectation pricing is not a perfectly rational calculation process.
In real markets, prices do not merely reflect information. They also influence how people interpret that information.
Suppose an unconfirmed partnership rumor appears and the token price does not move. Most people may dismiss it as an ordinary rumor.
If the token then rises 30%, the same rumor suddenly appears far more credible. People begin saying, "The price would not move like this without a reason."
The problem is that the rally may have resulted from one large purchase, low liquidity, short-term speculation, or an entirely unrelated event.
Humans are skilled at finding explanations for movements that already occurred. Price rises first, a story is selected afterward, and then the story is used to prove that the rally was justified. The loop is remarkably smooth and can appear highly logical.
This feedback process can produce two outcomes.
First, genuine clues may be exaggerated.
Second, false narratives may temporarily move real prices.

A rising price proves that buying appeared in the market. It does not independently prove that a rumor is true.
The SEC also warns that information shared through online discussions may be inaccurate or promoted by people who own the asset or have conflicts of interest. Major decisions should not rely solely on unverified online claims. SEC: Online Discussion and Investment Information Risks
What Market Data Can Reveal Clues About Investor Expectations?
Expectations cannot be directly observed, but they leave traces when entering the market.
Price action, volume, cross-venue differences, futures basis, and option prices may all indicate that participants are positioning for a future outcome.
Spot Price: Has the Market Already Paid a Premium?
First, examine whether the relevant asset consistently outperformed the broader market before the announcement.
If the crypto market gained 5% while the token gained 8%, only a small event premium may exist. If the broader market remained flat while the token rose 60%, participants may already be paying heavily for a specific outcome.
Relative performance can reveal an asset-specific trading thesis, but not necessarily what that thesis is.
Price knows that capital arrived. It does not submit a written explanation of the capital's reasoning.
Trading Volume: Has the Expectation Attracted More Participants?
A rally accompanied by increased trading volume indicates that more capital is participating in price discovery.
But volume does not equal net buying, nor does it mean every participant is bullish. Every trade has both a buyer and a seller. What matters is whether aggressive buying persists, liquidity replenishes after the rally, and the price remains stable following high-volume activity.
Cross-Venue Prices: Is the Expectation Local or Market-Wide?
If a rally appears only in one illiquid trading pair while other major venues do not follow, it may be a local deviation caused by limited orders.
If several venues rise together, arbitrage remains functional, and price differences stay narrow, the evidence for broader expectation pricing becomes stronger.
Options-Implied Volatility: Expected Magnitude, Not Guaranteed Direction
For assets with active options markets, option premiums may rise before a major event because traders are willing to pay more for protection against large movements.
Implied volatility reflects the expected magnitude of movement, not a guaranteed direction. High implied volatility does not necessarily mean the market is bullish. It may also indicate fear of a major decline.
No single indicator can tell you that "80% of the positive news is already priced in."
A more reliable approach is to examine whether several market traces point in the same direction: early price appreciation, wider participation, cross-venue alignment, more expensive event-related options, and an increasingly uniform narrative.
A Complete Case Study: From Code Updates to Rising Prices - How Do Market Expectations Build Step by Step?
Suppose the A protocol plans to introduce a cross-chain settlement feature but has not announced an official launch date.
A developer first discovers a new cross-chain verification module in the project's code repository. Attention remains limited, and the market estimates only a 25% probability of launching within one month. The token trades at $1.
One week later, related contracts appear on the testnet, and the team publishes recruitment information for cross-chain developers. Some researchers raise the probability of a launch within one month to 45%, and the price rises to $1.12.
The rally does not mean the launch is certain. It means the failure scenario now carries less weight.
A governance proposal then appears discussing the distribution of cross-chain fees. The community organizes these clues into a narrative: the product will launch soon and increase token revenue.
More traders buy, pushing the price to $1.35 with noticeably higher volume. The original technical clues have now transformed into a public narrative.
A few days later, the price breaks above $1.50 and appears on top-gainer lists. Many late participants have not reviewed the code or governance proposal. They simply assume: "A move this large must mean major news is coming."
The price itself now becomes evidence supporting the narrative, causing expectations to reinforce themselves.
The project eventually announces that the cross-chain feature will enter public testing in two months rather than launch immediately. Fee distribution still requires further discussion.
The announcement is positive, but the market had priced in a launch within one month and immediate token revenue. The actual result falls short of that scenario, causing the price to decline.
At no point did the market necessarily know the complete answer.
Price movements came from changing probabilities, spreading narratives, and participants expressing beliefs with real capital. The key question is not what the market knew in advance, but how much it believed.
Conclusion: The Market Doesn't Know the Future - It's Constantly Putting a Price on It
Expectations being priced in does not mean the market can predict the future.
It means participants infer possible outcomes from available clues, assign probabilities to those outcomes, and convert their judgments into prices through trading.
The process usually follows a chain:
Clues emerge and probabilities change;
Probabilities change and capital acts;
Capital acts and prices move;
Price movement attracts attention;
Attention strengthens the narrative;
The official announcement tests the entire story.

This chain contains rational research and emotional chasing, genuine information and exaggeration, fundamental repricing and price-driven storytelling.
An early rally therefore proves only that the market is trading a version of the future. It does not prove that version will occur.
Once expectation pricing is understood, the next question becomes more practical:
If substantial capital bought in advance, who sells when the announcement arrives? Why can ordinary profit-taking turn into a rapid decline? How do leverage, funding rates, open interest, and liquidation amplify the move?
That will be the subject of Part III.
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