ATP historical data
ATP is a Polymarket sports series with markets recurring daily. Marketlens has captured 25,997 markets since June 19, 2026, of which 25,919 resolved, with $68.9M in traded volume. Every market's order book is stored in full: periodic L2 snapshots plus every individual price change with a millisecond timestamp, alongside trades, candles, and the final resolution outcome.
Data as of 2026-08-16 · series 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 25,997 markets.
Aguilar vs. Bergs: Set 1 Games O/U 8.5
closed 2026-08-16 · volume $5 · resolved Over
Aguilar vs. Bergs: Set 1 Games O/U 10.5
closed 2026-08-16 · resolved Under
Aguilar vs. Bergs: Set 1 Games O/U 9.5
closed 2026-08-16 · resolved Under
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "atp", subtype="moneyline",
after="2026-08-09", before="2026-08-17", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many ATP markets are in the archive?
25,997 markets from June 19, 2026 through August 16, 2026, of which 25,919 have resolved and 78 are active.
What data exists for each ATP market?
Full L2 order book history (snapshots plus every price change at millisecond resolution), individual trades, OHLC candles, and the resolution outcome. 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 $6.2K per market, $68.9M across the series.
Can I backtest strategies on ATP?
Yes. Pass the slug "atp" to client.backtest() in the Python SDK. Execution mode replays every market's order book tick by tick and fills simulated orders against real historical depth with queue priority, latency, and fee modelling; Alpha mode replays one bar per market for slower signals over long windows. 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, WTA, UFC, FA Community Shield, MLS 2025, or all sports series.
Try it
Replay ATP tick by tick
The free tier includes 5M rows per day with full API and full archive access, no card required.
$ pip install marketlens