NATO downs another Russian dronePolymarket historical data and price history
NATO downs another Russian drone: a Polymarket politics series with markets recurring monthly. Marketlens has captured 2 markets since August 28, 2026, of which 2 resolved, with $60.1K 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.
For the politics archive as a whole, see Polymarket election data.
Data as of 2026-09-21 · Polymarket series NATO downs Russian drone · slug nato-downs-russian-drone
Markets in this series
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "nato-downs-russian-drone",
after="2026-09-08", before="2026-09-16", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many NATO downs another Russian drone markets are in the archive?
2 markets from August 28, 2026 through September 15, 2026, of which 2 have resolved.
What data exists for each NATO downs another Russian drone 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 "nato-downs-russian-drone" through the API and Python SDK, or downloadable as Parquet.
How much does a typical NATO downs another Russian drone market trade?
Average traded volume is $30.1K per market, $60.1K across the series.
Can I backtest strategies on NATO downs another Russian drone?
Yes. Pass the slug "nato-downs-russian-drone" to client.backtest() in the Python SDK. Execution mode replays order books against real historical depth; Alpha mode, one bar per market, covers every market in the series and suits its longer horizons.
Related series: Putin out as President of Russia, Trump out as President, Next round of US-Iran peace talks, Ukraine signs peace deal with Russia, Elon Musk # tweets, Who will Trump meet with, or all politics series.
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$ pip install marketlens