ATPPolymarket historical data and price history
ATP: a Polymarket sports series with markets recurring daily. Marketlens has captured 43,417 markets since June 19, 2026, of which 43,381 resolved, with $112.1M 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.
For the sports archive as a whole, see Polymarket sports odds history.
Data as of 2026-09-17 · Polymarket series ATP · slug atp
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 43,417 markets.
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "atp", subtype="moneyline",
after="2026-09-10", before="2026-09-18", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many ATP markets are in the archive?
43,417 markets from June 19, 2026 through September 17, 2026, of which 43,381 have resolved and 36 are active.
What data exists for each ATP 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 "atp" through the API and Python SDK, or downloadable as Parquet.
How much does a typical ATP market trade?
Average traded volume is $7.0K per market, $112.1M across the series.
Can I backtest strategies on ATP?
Yes. Pass the slug "atp" 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, UEFA Champions League 2025, WTA, NFL 2026, UFC, or all sports series.
Try it
Pull ATP books in one call
The free tier includes 1M rows per day with full API and full archive access, no card required.
$ pip install marketlens