The longest government shutdown in U.S. history officially ended on November 13, 2025, after 43 days of political gridlock — exactly as Kalshi prediction market traders had forecasted. The shutdown surpassed the previous record of 35 days set during the 2018-2019 closure.
Prediction Markets Called It
Kalshi traders demonstrated remarkable accuracy throughout the crisis. According to the platform's "How long will the government shutdown last?" market, participants predicted the 43-day duration with increasing confidence as negotiations dragged on. By the final week, the probability of the shutdown lasting beyond 45 days had dropped to just 6%, with contracts beyond 47 days trading under 3%.
Market forecasts tightened sharply after the Senate approved a bipartisan funding deal late Sunday night, November 10 — the first real breakthrough in six weeks. Trading volume on the shutdown market spiked above $60 million.
Political Resolution
The shutdown began on October 1, 2025, when Congress failed to pass appropriations bills before the fiscal year deadline. President Trump signed the revised funding package on November 12, just before midnight, after the House voted Wednesday afternoon to send the bill to his desk.
Kalshi's House vote timing market proved equally prescient, assigning a 97% probability that lawmakers would vote before November 15. The bipartisan funding measure included government funding through January 30, 2026, new security appropriations for Congress, and a guaranteed future vote on ACA subsidy extensions.
Economic Impact
The 43-day closure had significant economic consequences. Federal employees faced six weeks without pay, national parks remained closed, and various government services ground to a halt. Economists estimated the shutdown cost the U.S. economy billions in lost productivity.
What This Means for Prediction Markets
The accuracy of Kalshi's shutdown markets demonstrated the potential of prediction platforms to forecast political events better than traditional polling. Traders synthesizing news, political analysis, and insider information collectively produced forecasts that consistently outperformed expert predictions — an outcome that prediction market advocates have long argued would occur when real money is on the line.