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 2026-08-16
All politics series
Elon Musk Tweet Counts
varies · 102 markets · $2.1M
US x Iran diplomatic meeting
monthly · 3 markets · $1.7M
Iran successfully targets shipping on
monthly · 19 markets · $34.6K
Trump Truth Social
daily · 5 markets · $18.7K
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="elon-tweets", 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 129 politics markets across 4 recurring series, of which 15 have resolved. Coverage runs from July 13, 2026 through August 16, 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. 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 $3.9M. 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 5M rows per day with full API and full archive access, no card required.
$ pip install marketlens