According to a new report from Binance Research, historical data indicates that U.S. midterm elections have consistently served as a catalyst for significant recoveries in both the stock market and Bitcoin. The analysis shows that the 12 months following a midterm vote have resulted in an average 19% rise in the S&P 500 and a striking 54% average rise for Bitcoin over the three-year post-election periods on record.
The research argues that the year following the midterms may prove the "strongest window in the cycle," as markets have historically rallied once election outcomes resolve a major source of political uncertainty. "Once election outcomes are determined and uncertainty is resolved, markets have historically staged powerful rallies," the report stated.
While Bitcoin has logged negative returns during midterm election years—including steep drawdowns of 56% in 2014, 73% in 2018, and 64% in 2022—historical patterns show a strong rebound in the subsequent years.
The report arrives nearly eight months before the November 3, 2026, U.S. midterm elections, which will determine the composition of the 120th Congress. However, Binance cautioned that in the near term, market direction is more likely to be driven by geopolitical tensions, specifically the conflict involving the U.S., Israel, and Iran. Further escalation could push oil prices higher and maintain pressure on risk assets.
Crude oil prices briefly surged to $95 per barrel as the conflict entered its 13th day, following reports of Iran stepping up attacks on energy infrastructure. An Iranian military command spokesperson warned that oil could reach $200 per barrel due to the instability.
Analysts from crypto derivatives exchange Bitunix told Cointelegraph that global markets are in a "wait-and-see phase where policy and geopolitical risks intersect." They noted that Bitcoin is fluctuating below the $70,000 level, indicating market activity dominated by liquidity sweeps, and suggested Bitcoin will remain range-bound until "macro events provide clearer directional signals."
