anti-cartel operation historical data
anti-cartel operation is a Polymarket politics series with markets recurring monthly. Marketlens has captured 3 markets since August 17, 2026, of which 1 resolved, with $58.4K 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 anti-cartel-operation
Markets in this series
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "anti-cartel-operation",
after="2026-08-25", before="2026-09-02", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many anti-cartel operation markets are in the archive?
3 markets from August 17, 2026 through September 1, 2026, of which 1 have resolved and 2 are active.
What data exists for each anti-cartel operation 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 "anti-cartel-operation" through the API and Python SDK, or downloadable as Parquet.
How much does a typical anti-cartel operation market trade?
Average traded volume is $19.5K per market, $58.4K across the series.
Can I backtest strategies on anti-cartel operation?
Yes. Pass the slug "anti-cartel-operation" 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 anti-cartel operation 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