Polymarket Data

Polymarket Politics Markets — Top 15 Right Now (2026-05-22)

May 22, 2026

Polymarket has 1,065 active politics markets clearing $4850.7M in cumulative volume. This is the top 15 by current dollar flow.

Top 15 Politics Markets

#MarketVolumeLiquidity
#1 US x Iran ceasefire extended by April 22, 2026? $279.6M $4.5M
#2 US x Iran ceasefire by April 7? $173.3M $20.0M
#3 Russia x Ukraine ceasefire by May 31, 2026? $126.7M $15.5M
#4 Netanyahu out by March 31? $104.2M $14.7M
#5 Israel x Hezbollah ceasefire by April 18, 2026? $98.6M $2.4M
#6 Will the Iranian regime fall by March 31? $63.1M $2.3M
#7 Russia x Ukraine ceasefire by June 30, 2026? $56.0M $7.3M
#8 Will the Iranian regime fall by April 30? $52.7M $2.2M
#9 Will Oprah Winfrey win the 2028 Democratic presidential nomination? $50.7M $2.5M
#10 Will LeBron James win the 2028 US Presidential Election? $50.1M $2.0M
#11 Will Bernie Sanders win the 2028 Democratic presidential nomination? $49.2M $1.4M
#12 Will Chelsea Clinton win the 2028 Democratic presidential nomination? $48.4M $397K
#13 Will Andrew Yang win the 2028 Democratic presidential nomination? $45.5M $1.8M
#14 US x Iran ceasefire by March 31? $44.4M $1.0M
#15 Will LeBron James win the 2028 Democratic presidential nomination? $41.4M $2.7M

Snapshot from the Protodex Polymarket dataset, captured 2026-05-22.

Why Politics Markets Are Worth Watching

Politics markets typically have the deepest informed-trader pool on Polymarket — partisans, journalists, lobbyists, and professional speculators all converge on the same handful of high-stakes contracts. That density makes prices unusually informative compared to retail-dominated categories like entertainment or weather.

If you want to backtest a strategy on this category, the full historical dataset has 15-minute price snapshots and orderbook depth for every politics market in this list. Get the dataset →

📊 The Full Polymarket Historical Dataset

10.8M+ price snapshots across 13,900+ prediction markets. 15-minute frequency, orderbook depth, 43+ days of data. Use the same source data behind this post for your own backtests, models, and research.

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