FA Cup historical data
FA Cup is a Polymarket sports series with markets recurring daily. Marketlens has captured 7 markets since August 9, 2026, of which 7 resolved, with $65.2K 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.
Data as of 2026-09-04 · series slug fa-cup
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 7 markets.
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "fa-cup", subtype="total:h1",
after="2026-08-09", before="2026-08-12", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many FA Cup markets are in the archive?
7 markets from August 9, 2026 through August 11, 2026, of which 7 have resolved.
What data exists for each FA Cup 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 "fa-cup" through the API and Python SDK, or downloadable as Parquet.
How much does a typical FA Cup market trade?
Average traded volume is $10.9K per market, $65.2K across the series.
Can I backtest strategies on FA Cup?
Yes. Pass the slug "fa-cup" 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. "total:h1") to backtest one type at a time.
Related series: FIFA World Cup, MLB, ATP, WTA, UFC, WNBA, or all sports series.
Try it
Pull FA Cup 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