ATP DoublesPolymarket historical data and price history
ATP Doubles: a Polymarket sports series with markets recurring daily. Marketlens has captured 192 markets since October 6, 2026, of which 175 resolved, with $200.1K 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 2026-10-12 · Polymarket series ATP Doubles · slug atp-doubles
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 210 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(), "atp-doubles", 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 ATP Doubles markets are in the archive?
192 markets from October 6, 2026 through now, of which 175 have resolved and 5 are active.
What data exists for each ATP Doubles 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-doubles" through the API and Python SDK, or downloadable as Parquet.
How much does a typical ATP Doubles market trade?
Average traded volume is $7.7K per market, $200.1K across the series.
Can I backtest strategies on ATP Doubles?
Yes. Pass the slug "atp-doubles" 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, ATP, MLB, WTA, NFL 2026, Premier League 2025, or all sports series.
Try it
Pull ATP Doubles 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