Trump Monthly Mentions historical data

Trump Monthly Mentions is a Polymarket politics series with markets recurring monthly. Marketlens has captured 22 markets since August 26, 2026, of which 1 resolved, with $16.7K in traded volume. Every market's order book is captured as full depth L2 snapshots at regular intervals, alongside trades, candles, and the final resolution outcome.

Data as of 2026-09-07 · series slug trump-monthly-mentions

Markets
22
Resolved
1
Traded volume
$16.7K
Avg volume / market
$797
Cadence
monthly
Coverage from
2026-08-26
Data through
2026-09-07
Category
Politics

Markets in this series

The most recently resolved of 22 markets.

Will Trump say "Who Are You With" or "Where Are You From" in September?

closed 2026-09-04 · volume $2.7K · resolved Yes

Backtest this series

python
from marketlens import MarketLens client = MarketLens() result = client.backtest( MyStrategy(), "trump-monthly-mentions", after="2026-08-31", before="2026-09-08", initial_cash=1_000, ) result.show() # inspect the run in the dashboard

Available datasets

Order book snapshots and deltasfull L2 depth, millisecond price changes
Tradesindividual fills with side and size
CandlesOHLC at multiple resolutions
Bulk Parquet exportsfull markets for offline research
Backtestingtick level replay with realistic fills

Common questions

How many Trump Monthly Mentions markets are in the archive?

22 markets from August 26, 2026 through September 7, 2026, of which 1 have resolved and 21 are active.

What data exists for each Trump Monthly Mentions market?

Full depth L2 order book snapshots at regular intervals, individual trades, OHLC candles, and the resolution outcome. All of it is queryable by the series slug "trump-monthly-mentions" through the API and Python SDK, or downloadable as Parquet.

How much does a typical Trump Monthly Mentions market trade?

Average traded volume is $797 per market, $16.7K across the series.

Can I backtest strategies on Trump Monthly Mentions?

Yes. Pass the slug "trump-monthly-mentions" 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, Trump out, US x Iran diplomatic meeting, Ukraine x Russia Peace Deal, Elon Musk Tweet Counts, trump monthly meeting, or all politics series.

Try it

Pull Trump Monthly Mentions books in one call

The free tier includes 25M rows per day with full API and full archive access, no card required.

bash
$ pip install marketlens
Get a free API keyRead the docs