Trump out historical data
Trump out is a Polymarket politics series with markets recurring monthly. Marketlens has captured 3 markets since March 1, 2026, of which 1 resolved, with $14.0M in traded volume. Order books are stored at full depth, with every individual price change captured at millisecond resolution on the most actively traded markets, alongside trades, candles, and the final resolution outcome.
Data as of 2026-09-04 · series slug trump-out
Markets in this series
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "trump-out",
after="2026-08-24", before="2026-09-01", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many Trump out markets are in the archive?
3 markets from March 1, 2026 through August 31, 2026, of which 1 have resolved and 2 are active.
What data exists for each Trump out market?
Full depth L2 order book snapshots at regular intervals, individual trades, OHLC candles, and the resolution outcome, with the full price change stream at millisecond resolution on the most actively traded markets in the series. All of it is queryable by the series slug "trump-out" through the API and Python SDK, or downloadable as Parquet.
How much does a typical Trump out market trade?
Average traded volume is $4.7M per market, $14.0M across the series.
Can I backtest strategies on Trump out?
Yes. Pass the slug "trump-out" to client.backtest() in the Python SDK. Execution mode replays order books against real historical depth; Alpha mode, one bar per market, covers every market in the series and suits its longer horizons.
Related series: Putin out as President, US x Iran diplomatic meeting, Ukraine x Russia Peace Deal, Elon Musk Tweet Counts, trump monthly meeting, Ukraine cede territory, or all politics series.
Try it
Pull Trump out 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