WTTPolymarket historical data and price history
WTT: a Polymarket sports series with markets recurring daily. Marketlens has captured 1 market since October 28, 2026, of which 1 resolved, with $21.8K 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.
For the sports archive as a whole, see Polymarket sports odds history.
Data as of 2026-11-02 · Polymarket series WTT · slug wtt
The market in this series
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(2026, 10, 31, tzinfo=timezone.utc)
result = client.backtest(
MyStrategy(), "wtt",
after=end - timedelta(days=1), before=end, initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many WTT markets are in the archive?
1 markets from October 28, 2026 through October 30, 2026, of which 1 have resolved.
What data exists for each WTT 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 "wtt" through the API and Python SDK, or downloadable as Parquet.
Can I backtest strategies on WTT?
Yes. Pass the slug "wtt" 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: ATP, MLB, NFL 2026, WTA, NBA 2026, Premier League 2025, or all sports series.
Try it
Pull WTT 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