In July 2026, the legislative process for the US Digital Asset Market Structure CLARITY Act saw a dramatic reassessment of its passage odds. On the Polymarket prediction market, the implied probability of the bill being signed into law by the end of 2026 dropped to a record low of 32% on July 18. Just three trading days later, that number rebounded to 43%. From a high of 82% on February 19, to a mid-July low of 32%, and then back up to 43% on July 21—these figures don’t trace the price chart of a crypto asset, but rather illustrate the market’s full repricing cycle for a key regulatory bill.
The core function of prediction markets isn’t to forecast, but to price. Every contract price represents a real-time, capital-weighted estimate of an event’s probability by market participants. The CLARITY Act’s V-shaped probability reversal offers a rare case study in how prediction markets discover and absorb regulatory information.
Why Did the CLARITY Act’s Passage Probability Plunge from 82% to 32% in Six Months?
The outlook for the CLARITY Act peaked in early 2026. On February 19, its probability of passing in 2026 hit 82% on Polymarket. At that point, the House had already passed the bill with a bipartisan majority of 294 to 134 on July 17, 2025, and the Senate Banking Committee advanced a revised version by a 15-9 vote on May 14, 2026. The legislative path seemed clear, and the market priced it with high optimism.
However, from May onward, the probability began to decline steadily. The Senate’s legislative calendar grew tighter, and bipartisan support remained elusive. The core sticking point emerged: ethics provisions. These clauses aim to restrict the president, vice president, and members of Congress from profiting from digital assets during their terms. The immediate controversy centered on the Trump family’s crypto holdings—including their meme tokens and the family business, World Liberty Financial. Financial disclosures released last month revealed that Trump personally earned roughly $1.4 billion from crypto.
Democratic Senator Ruben Gallego publicly stated he would vote against the bill unless it included bipartisan ethics provisions. Since the bill needs 60 votes in the Senate to overcome a filibuster, bipartisan agreement is mathematically essential. The deadlock over ethics provisions pushed optimism to a freezing point.
What Does the 32% Record Low Signify?
On July 18, Polymarket priced the CLARITY Act’s passage odds at 32%—the lowest since the prediction market launched in January. This price signal conveyed several messages.
First, the market’s confidence in the Senate passing the bill before the August recess had collapsed. The Senate recesses on August 7 and doesn’t reconvene until September 14. Even if the bill’s text is released in late July, it still requires a full Senate vote, reconciliation with the House version, and the President’s signature. With only an 18-day legislative window—and ongoing political gridlock—time is extremely tight.
Second, the 32% pricing reflected expectations of worsening political deadlock. Republican Senator Lindsey Graham’s sudden death on July 11 temporarily reduced the GOP’s Senate seats from 53 to 52. Another Republican, Mitch McConnell, has missed votes since being hospitalized on June 14. This uncertainty further narrowed the bill’s margin for error.
A 32% probability is a rational market assessment under these constraints—not panic, not optimism, but a weighted average of multiple negative factors.
Why Did the Probability Jump 11 Points in Two Days After Trump Softened on Ethics Provisions?
On July 21, crypto reporter Eleanor Terrett cited sources saying President Trump agreed to include ethics provisions in the CLARITY Act. The White House’s agreement on an ethics plan removed the final major obstacle to this months-long regulatory battle.
After the news broke, Polymarket’s passage odds surged from 32% to 43%. An 11-point jump is a major repricing in prediction market terms. It means the market believed that "the ethics provision hurdle is cleared," raising the bill’s passage odds by more than a third.
However, this rebound came with significant uncertainty: as of the report, Democrats had yet to see the bill’s actual text. The news itself hadn’t been officially confirmed by the White House or relevant Senate offices. In other words, the 43% price was a reaction to "unconfirmed reporting"—a textbook example of prediction market information efficiency. Even with incomplete information, the market reprices instantly, then continues to adjust as new details emerge.
Is 43% Too High or Too Low?
Does a 43% probability—nearly a coin flip—accurately reflect the bill’s real chances? Different organizations have different takes.
Research firm Galaxy Research previously estimated the CLARITY Act’s odds of passage in 2026 as "roughly 50-50," which aligns with Polymarket’s 43% price. Fundstrat Global Advisors co-founder Tom Lee said on July 22 that the prediction market "may be underestimating" the bill’s chances. His main argument: senators are banned from trading on prediction markets, meaning those with the most direct legislative information can’t express their views with capital. This limits the pool of "informed traders."
Viewed another way, 43% could also be an overestimate. Democrats haven’t seen the bill text, indicating negotiations are ongoing. Even if there’s a general agreement on ethics provisions, specific language and enforcement details could spark new disputes. Plus, the Senate’s 60-vote threshold means at least eight Democratic votes are needed—with the content of the ethics provisions still unknown, those votes are far from guaranteed.
Prediction market prices aren’t truth; they’re the capital-weighted average of market participants’ beliefs. The 43% figure is just a consensus at a specific moment, and will keep evolving as new information arrives.
What Role Do Prediction Markets Play in Pricing Regulatory Events?
The CLARITY Act’s full probability arc—from 82% to 32% to 43%—showcases prediction markets’ core mechanisms for aggregating and pricing information.
Prediction markets are fundamentally economic incentive-based information aggregators. Participants put real money behind their judgments on event outcomes, so prices reflect private information distributed across the market. When new information arises—whether it’s a deadlock over ethics provisions or Trump’s change of stance—prices adjust quickly. This price discovery function makes prediction markets a valuable supplement to traditional polling and expert forecasts.
For regulatory events, prediction markets offer several advantages over traditional methods: real-time updates (probabilities shift immediately with news), quantifiable consensus (expressed as clear percentages), and traceability (a complete price history showing market reactions to every development). Mainstream outlets like CNN, Bloomberg, and Google Finance now widely incorporate prediction market data as real-time consensus indicators.
Of course, prediction markets have limitations. Issues like low liquidity, price manipulation, and information asymmetry still exist. The CLARITY Act market’s $11.5 million+ trading volume has helped ease liquidity concerns, but bans on insider trading may reduce the density of "informed traders."
What Can the Probability Swings Teach the Industry?
The CLARITY Act’s V-shaped probability reversal offers several key takeaways for the crypto industry.
First, regulatory expectations are now highly market-driven. The trading volume and price swings in Polymarket’s CLARITY Act contract show that market participants are continuously pricing the regulatory process with capital. This mechanism creates a real-time feedback loop—policymakers, industry players, and investors can all gauge the market’s collective judgment on regulatory direction.
Second, political variables are becoming core drivers of crypto asset pricing. Trump’s stance on ethics provisions, Senate seat changes, and recess schedules—all these political events are instantly reflected in prediction market prices. The crypto industry can no longer treat regulation as an external factor; it’s now an endogenous part of market pricing.
Third, uncertainty over whether the bill passes is itself a structural cost. The CLARITY Act aims to clarify the regulatory boundaries between the SEC and CFTC, ending the US digital asset market’s long era of "regulation by enforcement." The probability’s journey from 82% to 32% and then back to 43% quantifies regulatory uncertainty. This uncertainty is a core barrier preventing institutional capital from entering the crypto market at scale.
Conclusion
The rebound in the CLARITY Act’s passage probability on Polymarket—from a record low of 32% to 43%—is a textbook example of prediction market pricing for regulatory events. The drivers of this V-shaped reversal are clear: the deadlock over ethics provisions pushed the probability to its nadir, while Trump’s concession pulled it back up. Neither 32% nor 43% is a "right" or "wrong" answer—they’re simply capital-weighted judgments of a complex political process at specific points in time.
The true value of prediction markets isn’t in providing a definitive probability, but in offering a transparent, traceable, and continuously updated information pricing mechanism. For the crypto industry, every tick in the CLARITY Act’s probability represents the market discovering, digesting, and pricing regulatory expectations. Regardless of whether the bill ultimately becomes law in 2026, this process itself has already become vital infrastructure for understanding regulatory risk in the industry.
FAQ
Q1: What is the CLARITY Act?
The CLARITY Act (Digital Asset Market Structure Act) is US legislation aimed at establishing a federal regulatory framework for digital assets. Its core goal is to clarify the regulatory boundaries between the SEC and CFTC—that is, which digital assets are classified as securities and which as commodities. The House passed the bill in July 2025, and it now awaits a full Senate vote.
Q2: How is the "passage probability" on Polymarket determined?
Polymarket is a prediction market platform where traders buy and sell "yes" or "no" shares to express their views on event outcomes. The contract price reflects the market’s collective, capital-weighted implied probability. For example, if the "yes" shares trade at $0.43, the market-implied probability is 43%.
Q3: Why have ethics provisions become the biggest obstacle to the bill’s passage?
The ethics provisions aim to restrict the president, vice president, and members of Congress from profiting from digital assets while in office. The main controversy centers on the Trump family’s crypto holdings, including their meme tokens and World Liberty Financial. Democrats have demanded bipartisan ethics provisions as a condition for their votes, and the bill requires 60 votes in the Senate—making bipartisan agreement essential.
Q4: Does a 43% probability mean the bill is unlikely to pass?
A 43% probability means the market sees the bill’s chances as slightly less than a coin flip. This doesn’t mean it’s "unlikely to pass"—it’s simply the market’s neutral pricing based on current information. Different organizations have different assessments: Galaxy Research sees it as "roughly 50-50," while Fundstrat believes the prediction market may be underestimating the odds.
Q5: Are prediction market probabilities reliable?
Prediction market prices represent the collective judgment of market participants, weighted by capital, and offer a certain degree of information aggregation efficiency. However, they’re not perfect—structural factors like low liquidity, insider trading bans, and price manipulation can affect accuracy. Prediction market prices should be viewed as reference signals, not definitive forecasts.
