#Polymarket每日热点 Polymarket: Bitcoin May Price Forecast

Bitcoin forecast data actually "conflicts": 82% bullish at $80k, 69% bearish at $75k, what exactly is the market plotting?
Liquidity under a million, poor trading volume, is the prediction market truly "collective wisdom" or just "data illusion"?
Recently, many readers have been sharing a screenshot of a prediction market. It shows:
Probability of rising to $80k: 82.0%, probability of falling to $75k: 69.0%, probability of rising to $85k: 38.5%
Someone asked: "These three numbers add up to over 180%, and both bullish and bearish are so high—could there be a data bug?
Does the market still believe what Arthur Hayes said about ending the year at $125k?"
Don’t worry, today we’ll strip down this data and see what it’s really saying.

1. The sum of three probabilities not equal to 100%, not a bug
First, clarify a common fact: these three probabilities come from three completely independent prediction markets, not different options of the same question.
"Rising to $80k" is an independent trading pool, "falling to $75k" is another independent pool, "rising to $85k" is yet another independent pool, each answering a simple "yes/no" question, so probabilities don’t need to sum to 100%.
So, what’s the problem?
The problem is: having an 82% bullish probability and a 69% bearish probability at the same time is logically conflicting.

2. "Contradictions" under low liquidity, signal or noise?
Let’s look at the real volume behind this data:
Total liquidity pool: only $840k
24-hour trading volume: just $242k, while Bitcoin’s daily spot market volume is $50 billion.
The liquidity of this prediction market is less than 0.002% of the spot market.
In such a "mini pool," slippage for market makers is severe. A few tens of thousands of dollars in buy orders can instantly push the "rising to $80k" probability from 75% to 90%.
Similarly, sell orders of a few tens of thousands can easily push it back down to 60%.
Therefore, this conflicting probability data is very likely a statistical illusion caused by "small traders betting both sides + liquidity exhaustion + slippage distortion," rather than a true market consensus.
Conclusion: in prediction markets with no depth, price ≠ true probability.

3. What is the market really doubting about Arthur Hayes?
Briefly review Hayes’ core logic (2026 Bitcoin Conference speech):
The US bank eSLR new regulation (effective April) releases about $1.3 trillion in credit space, with liquidity indicators bottoming out along with Bitcoin → end-of-year target of $125k.
If the market fully believes this narrative, the correct pricing should be:
Short-term bullish probability (at $80K/$85K) significantly rising, bearish probability ($75K) dropping sharply, but in reality:
Both bullish and bearish probabilities remain high.
This indicates that the market has a strong wait-and-see and reservation attitude toward Hayes’ three core assumptions.

4. Another noteworthy signal: the full-year prediction market is also more bullish, with the probability of Bitcoin surpassing $80k by the end of 2026 reaching 81%.
This aligns more closely with Hayes’ medium- to long-term narrative.
The key difference: the probability of reaching $85k within May is only 38.5%, but the probability of breaking $80k by year-end is 81%.
The market does not deny the "full-year direction," but strongly doubts the "short-term explosive path."
Very few are willing to directly bet on $85k within May.
In other words: liquidity narratives are accepted, but the huge uncertainty in pace and volatility makes most people choose to "wait and see."

5. Conclusion: this is not Hayes’ validation, but the market’s "hedged wait-and-see" stance.