Rainbow Six SiegePolymarket historical data and price history
Rainbow Six Siege: a Polymarket esports series with markets recurring daily. Marketlens has captured 8 markets since October 24, 2026, of which 8 resolved, with $62.3K 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 esports archive as a whole, see Polymarket esports data.
Data as of 2026-10-26 · Polymarket series Rainbow Six Siege · slug rainbow-six-siege
Markets by bet type
Market counts by bet type across the series. Pass any of these as subtype= to backtest that type on its own.
Markets in this series
The most recently resolved of 8 markets.
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(), "rainbow-six-siege", subtype="moneyline",
after=end - timedelta(minutes=15), before=end, initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many Rainbow Six Siege markets are in the archive?
8 markets from October 24, 2026 through now, of which 8 have resolved.
What data exists for each Rainbow Six Siege 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 "rainbow-six-siege" through the API and Python SDK, or downloadable as Parquet.
How much does a typical Rainbow Six Siege market trade?
Average traded volume is $12.5K per market, $62.3K across the series.
Can I backtest strategies on Rainbow Six Siege?
Yes. Pass the slug "rainbow-six-siege" 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. This series mixes several bet types, so pass subtype= (e.g. "moneyline") to backtest one type at a time.
Related series: League of Legends, Counter Strike, Dota 2, Valorant, or all esports series.
Try it
Pull Rainbow Six Siege 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