Whitehouse Daily Tweets historical data
Whitehouse Daily Tweets is a Polymarket politics series with markets recurring daily. Marketlens has captured 29 markets since August 11, 2026, of which 29 resolved, with $189.2K 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 2026-09-11 · series slug whitehouse-daily-tweets
Resolution outcomes
Outcomes across 29 resolved markets with a recorded winning outcome. Settlement in the archive is by winning outcome, not by final traded price.
Markets in this series
The most recently resolved of 29 markets.
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "whitehouse-daily-tweets",
after="2026-09-04", before="2026-09-12", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many Whitehouse Daily Tweets markets are in the archive?
29 markets from August 11, 2026 through September 11, 2026, of which 29 have resolved.
What data exists for each Whitehouse Daily Tweets 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 "whitehouse-daily-tweets" through the API and Python SDK, or downloadable as Parquet.
How often do Whitehouse Daily Tweets markets resolve No?
Of 29 resolved markets with a recorded outcome, 23 resolved No (79.3%) and 6 resolved Yes.
How much does a typical Whitehouse Daily Tweets market trade?
Average traded volume is $6.5K per market, $189.2K across the series.
Can I backtest strategies on Whitehouse Daily Tweets?
Yes. Pass the slug "whitehouse-daily-tweets" 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 Whitehouse Daily Tweets 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