Trump to Meet Senators on the CLARITY Act Before August Recess
US President Donald Trump will meet several senators at the White House to brief on progress toward the CLARITY Act, a US crypto market structure bill, ahead of the August recess. Senator Bernie Moreno said senators will update Trump on the bill and its “path to success”, with Senator Cynthia Lummis also expected to attend.
Lawmakers are trying to secure a revised draft quickly and push the CLARITY Act to a Senate floor vote next week, aiming to clear the Senate before the recess. Negotiators are targeting agreement by the end of the week. This push is also seen as the last realistic window before the midterm election cycle.
Market pricing is moving, but confidence remains uneven. Kalshi traders raised the probability of a Senate vote before the August recess to 79% (from 68.8%), but set the chance of the CLARITY Act becoming law at 36% for 2026 and 62% before end-2027. Polymarket estimates a 39% chance of the bill being signed into law this year.
For crypto traders, the near-term catalyst is the approach toward a potential Senate vote on the CLARITY Act. However, political and ethics-related friction still increases headline-driven volatility risk.
Neutral
The news strengthens the likelihood of a near-term procedural catalyst: a potential Senate vote on the CLARITY Act before the August recess. Kalshi’s jump to a 79% vote probability can support short-term sentiment around US crypto market structure clarity.
However, the probability that the CLARITY Act becomes law remains comparatively low (36% for 2026; 62% before end-2027, per Kalshi; Polymarket 39% for this year). That gap implies ongoing negotiation risk and keeps downside tail risks alive. Added friction around ethics/conflict-of-interest provisions (highlighted in the earlier summary) also raises the chance of headline reversals.
Net effect: traders may see volatility around legislative updates, but without a clear “pass and sign” outcome yet, spot price impact on any specific coin is likely limited and directionally mixed—hence a neutral classification.