DP World Tour historical data
DP World Tour is a Polymarket sports series with markets recurring daily. Marketlens has captured 120 markets since September 10, 2026, of which 4 resolved, with $18.7K 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 2026-09-11 · series slug dp-world-tour
Markets in this series
The most recently resolved of 120 markets.
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "dp-world-tour",
after="2026-09-10", before="2026-09-12", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many DP World Tour markets are in the archive?
120 markets from September 10, 2026 through September 11, 2026, of which 4 have resolved and 95 are active.
What data exists for each DP World Tour 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 "dp-world-tour" through the API and Python SDK, or downloadable as Parquet.
How much does a typical DP World Tour market trade?
Average traded volume is $296 per market, $18.7K across the series.
Can I backtest strategies on DP World Tour?
Yes. Pass the slug "dp-world-tour" 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.
Related series: FIFA World Cup, MLB, ATP, UEFA Champions League 2025, WTA, UFC, or all sports series.
Try it
Pull DP World Tour 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