ITF historical data
ITF is a Polymarket sports series with markets recurring daily. Marketlens has captured 120 markets since August 15, 2026, of which 119 resolved, with $432.5K in traded volume. Order books are stored at full depth, with every individual price change captured at millisecond resolution on the most actively traded markets, alongside trades, candles, and the final resolution outcome.
Data as of 2026-09-11 · series slug itf
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 120 markets.
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "itf", subtype="moneyline",
after="2026-09-02", before="2026-09-10", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many ITF markets are in the archive?
120 markets from August 15, 2026 through September 9, 2026, of which 119 have resolved.
What data exists for each ITF market?
Full depth L2 order book snapshots at regular intervals, individual trades, OHLC candles, and the resolution outcome, with the full price change stream at millisecond resolution on the most actively traded markets in the series. All of it is queryable by the series slug "itf" through the API and Python SDK, or downloadable as Parquet.
How much does a typical ITF market trade?
Average traded volume is $18.8K per market, $432.5K across the series.
Can I backtest strategies on ITF?
Yes. Pass the slug "itf" 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: FIFA World Cup, MLB, ATP, UEFA Champions League 2025, WTA, UFC, or all sports series.
Try it
Pull ITF 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