Polymarket Implied Probability for Clarity Act Jumped to 82% then Reversed after White House Push

Polymarket’s implied odds that the U.S. Digital Asset Market Clarity Act would become law briefly peaked around 82% before sliding back as legislative uncertainty resurfaced. The move tracked a burst of political signaling and high-profile industry commentary, followed by a rapid re-pricing when the same unresolved issues returned to the foreground.

The 48-hour swing showed how quickly prediction-market probabilities can gap higher on negotiation momentum and then unwind when that momentum proves fragile. In practical terms, the episode looked less like a steady consensus forming and more like a fast repricing cycle driven by changing expectations.

What pushed probabilities higher

In early February 2026, Polymarket was sitting around a 53–60% baseline before the odds accelerated sharply into Feb. 18 and then printed peak readings around Feb. 19. The time series described a jump toward roughly 90% on Feb. 18 in some moments, with Feb. 19 showing the headline peak near 82% and intermittent ticks near 90%.

The immediate catalyst was direct White House engagement, including a third round of meetings with crypto executives and banking representatives and a March 1 window to resolve negotiations. Optimistic public messaging amplified the signal, including Ripple’s CEO describing the probability as “90%” for passage by April and Coinbase’s CEO pointing to “great progress,” which appeared to flow quickly into order books and concentrate positioning.

Why the market snapped back

The rally retraced as doubts re-emerged over stablecoin yield rules, bank alignment, and the unresolved SEC-versus-CFTC jurisdiction split. Once those fault lines came back into focus, the elevated probability became harder to sustain, and the market repriced toward a lower level.

The same volatility showed up across venues, with related platforms such as Kalshi described as hitting overnight highs in the high-80s before pulling back. That parallel movement reinforces the idea that these markets were reacting to a common stream of political headlines and sentiment shifts rather than a single definitive legislative breakthrough.

Operationally, the pattern suggests prediction markets acted as high-frequency aggregators of political noise and executive commentary, not as a stable probabilistic forecast. Liquidity and conditional order flow also appeared to cluster near the highs, which can mechanically amplify both upside bursts and downside corrections.

If negotiators land binding agreement on stablecoin rewards before the March 1 deadline, probabilities could re-anchor at a higher average and show less intraday variance, but a continued impasse likely keeps volatility elevated and hedging costs higher. The next read-through will hinge on whether the negotiating window produces durable text changes or simply extends uncertainty.

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