Zelenskyy Tweets historical data
Zelenskyy Tweets is a Polymarket politics series with markets recurring daily. Marketlens has captured 3 markets since August 21, 2026, of which 1 resolved, with $6.8K 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 2026-08-27 · series slug zelenskyy-tweets
Markets in this series
Will Zelenskyy post 200+ posts from August 21 to August 28, 2026?
closes 2026-08-28 · volume $1.5K · active
Will Zelenskyy post 160-179 posts from August 21 to August 28, 2026?
closed 2026-08-26 · volume $3.1K · resolved No
Will Zelenskyy post 180-199 posts from August 21 to August 28, 2026?
closes 2026-08-28 · volume $2.3K · active
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "zelenskyy-tweets",
after="2026-08-21", before="2026-08-28", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many Zelenskyy Tweets markets are in the archive?
3 markets from August 21, 2026 through August 27, 2026, of which 1 have resolved and 2 are active.
What data exists for each Zelenskyy 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 "zelenskyy-tweets" through the API and Python SDK, or downloadable as Parquet.
How much does a typical Zelenskyy Tweets market trade?
Average traded volume is $2.3K per market, $6.8K across the series.
Can I backtest strategies on Zelenskyy Tweets?
Yes. Pass the slug "zelenskyy-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: Elon Musk Tweet Counts, US x Iran diplomatic meeting, Russia x Ukraine diplomatic meeting, Trump Truth Social, Whitehouse Daily Tweets, Houthi military action against Saudi Arabia, or all politics series.
Try it
Pull Zelenskyy 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