#预测市场平台与套利 The data from Polymarket has shown significant fluctuation over the past three days—ranging from 33% to 30% to 40%, with the expectation of Bitcoin reaching one hundred thousand dollars being pulled back and forth. This fluctuation essentially reflects the true state of market sentiment and is where the opportunities for arbitrageurs lie.
There is an interesting phenomenon when observing these prediction platforms: the probability changes often lag behind the actual trends of the spot market. When it dropped to 30% on December 9, it was actually the most pessimistic moment in sentiment; conversely, the rebound to 40% on December 10 precisely indicated that funds were betting on bottom fishing. This gave me an insight – one should not only focus on the position changes of a single trader but also synchronize the liquidity bias of the prediction market; only by combining the two can one determine the true flow of funds.
For the sub-account copy trading strategy, I would adjust it as follows: Aggressive traders can follow 80% of the full position, but in such a highly divergent market environment, stop-losses should be set beyond the psychological barrier—because the fluctuation itself is amplifying. At the same time, the probability of predictive markets can be used as a reference indicator. When the bearish/bullish probabilities are extremely deviated (for example, dropping below 20% or soaring above 70%), it is often a precursor to a reversal opportunity.
Practice leads to true knowledge, but the premise is to separate emotional fluctuations from the data.
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#预测市场平台与套利 The data from Polymarket has shown significant fluctuation over the past three days—ranging from 33% to 30% to 40%, with the expectation of Bitcoin reaching one hundred thousand dollars being pulled back and forth. This fluctuation essentially reflects the true state of market sentiment and is where the opportunities for arbitrageurs lie.
There is an interesting phenomenon when observing these prediction platforms: the probability changes often lag behind the actual trends of the spot market. When it dropped to 30% on December 9, it was actually the most pessimistic moment in sentiment; conversely, the rebound to 40% on December 10 precisely indicated that funds were betting on bottom fishing. This gave me an insight – one should not only focus on the position changes of a single trader but also synchronize the liquidity bias of the prediction market; only by combining the two can one determine the true flow of funds.
For the sub-account copy trading strategy, I would adjust it as follows: Aggressive traders can follow 80% of the full position, but in such a highly divergent market environment, stop-losses should be set beyond the psychological barrier—because the fluctuation itself is amplifying. At the same time, the probability of predictive markets can be used as a reference indicator. When the bearish/bullish probabilities are extremely deviated (for example, dropping below 20% or soaring above 70%), it is often a precursor to a reversal opportunity.
Practice leads to true knowledge, but the premise is to separate emotional fluctuations from the data.