NHL 2026Polymarket historical data and price history
NHL 2026: a Polymarket sports series with markets recurring daily. Marketlens has captured 6 markets since September 20, 2026, of which 6 resolved, with $231.4K 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 2026-09-25 · Polymarket series NHL 2026 · slug nhl-2026
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 6 markets.
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "nhl-2026", subtype="total",
after="2026-09-20", before="2026-09-24", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many NHL 2026 markets are in the archive?
6 markets from September 20, 2026 through now, of which 6 have resolved.
What data exists for each NHL 2026 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 "nhl-2026" through the API and Python SDK, or downloadable as Parquet.
How much does a typical NHL 2026 market trade?
Average traded volume is $46.3K per market, $231.4K across the series.
Can I backtest strategies on NHL 2026?
Yes. Pass the slug "nhl-2026" 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. "total") to backtest one type at a time.
Related series: FIFA World Cup, MLB, NFL 2026, ATP, UEFA Champions League 2025, WTA, or all sports series.
Try it
Pull NHL 2026 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