Polymarket politics historical data
Polymarket is best known for politics, and most political questions are standalone events rather than repeating series: the 2028 presidential race, party nominations, geopolitical questions. This page lists the recurring political series, including the Elon Musk tweet count markets, whose weekly and 48 hour count buckets reprice live as posts land. The standalone events, every 2028 election market among them, are cataloged on the standalone events page linked in the sidebar.
Both kinds get the same treatment as the rest of the archive: order books captured at full depth, with resolution outcomes stored once markets settle.
Data as of 2026-09-11
All politics series
Putin out as President
annual · 4 markets · $23.3M
Trump out
monthly · 3 markets · $14.7M
US x Iran diplomatic meeting
monthly · 6 markets · $3.5M
Ukraine x Russia Peace Deal
annual · 2 markets · $3.0M
Elon Musk Tweet Counts
varies · 404 markets · $2.1M
trump monthly meeting
monthly · 41 markets · $1.1M
Ukraine cede territory
annual · 2 markets · $812.1K
Who attend US-Iran peace talks
monthly · 39 markets · $716.6K
Israel military action against Lebanon
monthly · 28 markets · $477.3K
Israel x Lebanon diplomatic meeting
monthly · 8 markets · $476.5K
Foreign Intervention In Gaza
annual · 3 markets · $415.2K
Russia x Ukraine diplomatic meeting
monthly · 8 markets · $362.7K
Iran target Jordan by
monthly · 5 markets · $192.6K
Whitehouse Daily Tweets
daily · 29 markets · $189.2K
Trump Truth Social
daily · 31 markets · $181.6K
Query this category
from marketlens import MarketLens
client = MarketLens()
for market in client.markets.list(category="Politics", status="resolved", take=50):
print(market.question, market.winning_outcome)
# the order book of any market, at any moment of its life
[market] = client.markets.list(
series_id="putin-out-as-president", status="resolved", take=1,
)
book = client.orderbook.get(market.id, at=market.close_time)
print(book.best_bid, book.best_ask, book.midpoint)Common questions
How many Polymarket politics markets does Marketlens have data for?
The archive covers 764 politics markets across 34 recurring series, of which 529 have resolved. Coverage runs from March 1, 2026 through September 11, 2026.
What data is available for each politics market?
Most markets have full L2 order book history (snapshots plus every price change with millisecond timestamps), trades, and candles; the longest dated books carry full depth snapshots at regular intervals alongside their trades and candles. Every market stores its final resolution outcome. Data is served through the REST API and Python SDK, with bulk Parquet exports for offline work.
How much do these markets trade?
Combined traded volume across the category is $52.8M. Per series volumes are listed in the table on this page.
Can I backtest strategies on politics markets?
Yes. Pass any series slug from this page to client.backtest() in the Python SDK. Execution mode replays the order books tick by tick and fills simulated orders against real depth with queue priority, latency, and fee modelling; Alpha mode replays one bar per market for slower signals over long windows.
Other categories: crypto, sports, weather, or the full catalog.
Try it
Pull politics books in one call
The free tier includes 25M rows per day with full API and full archive access, no card required.
$ pip install marketlens