U.S. anti-cartel operation outside of the U.SPolymarket historical data and price history
U.S. anti-cartel operation outside of the U.S: a Polymarket politics series with markets recurring monthly. Marketlens has captured 3 markets since August 28, 2026, of which 3 resolved, with $183.2K 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.
For the politics archive as a whole, see Polymarket election data.
Data as of 2026-10-19 · Polymarket series anti-cartel operation · slug anti-cartel-operation
Resolution outcomes
Outcomes across 3 resolved markets with a recorded winning outcome. Settlement in the archive is by winning outcome, not by final traded price.
Markets in this series
Backtest this series
from datetime import datetime, timedelta, timezone
from marketlens import MarketLens, Strategy
class MyStrategy(Strategy):
def on_market_start(self, ctx, market, book):
ctx.buy_yes(size=10)
client = MarketLens()
end = datetime.now(timezone.utc) - timedelta(days=1)
result = client.backtest(
MyStrategy(), "anti-cartel-operation",
after=end - timedelta(hours=1), before=end, initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many U.S. anti-cartel operation outside of the U.S markets are in the archive?
3 markets from August 28, 2026 through now, of which 3 have resolved.
What data exists for each U.S. anti-cartel operation outside of the U.S 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 U.S. anti-cartel operation outside of the U.S market trade?
Average traded volume is $61.1K per market, $183.2K across the series.
Can I backtest strategies on U.S. anti-cartel operation outside of the U.S?
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: Elon Musk # tweets, Will China invade Taiwan, Will the Iranian regime fall, Putin out as President of Russia, Which party will win the House, US-Iran ceasefire continues, or all politics series.
Try it
Pull U.S. anti-cartel operation outside of the U.S books in one call
The free tier includes 2M data rows and every market open in the last 7 days, no card required.
$ pip install marketlens