Moscow air traffic historical data
Moscow air traffic is a Polymarket politics series with markets recurring monthly. Marketlens has captured 2 markets since August 24, 2026, of which 1 resolved, with $32.5K 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 2026-09-04 · series slug moscow-air-traffic
Markets in this series
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "moscow-air-traffic",
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 Moscow air traffic markets are in the archive?
2 markets from August 24, 2026 through August 31, 2026, of which 1 have resolved and 1 are active.
What data exists for each Moscow air traffic 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 "moscow-air-traffic" through the API and Python SDK, or downloadable as Parquet.
How much does a typical Moscow air traffic market trade?
Average traded volume is $16.3K per market, $32.5K across the series.
Can I backtest strategies on Moscow air traffic?
Yes. Pass the slug "moscow-air-traffic" to client.backtest() in the Python SDK. Execution mode replays order books against real historical depth; Alpha mode, one bar per market, covers every market in the series and suits its longer horizons.
Related series: Putin out as President, Trump out, US x Iran diplomatic meeting, Ukraine x Russia Peace Deal, Elon Musk Tweet Counts, trump monthly meeting, or all politics series.
Try it
Pull Moscow air traffic books in one call
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$ pip install marketlens