Japan J LeaguePolymarket historical data and price history
Japan J League: a Polymarket sports series with markets recurring daily. Marketlens has captured 3 markets since October 17, 2026, of which 3 resolved, with $111.4K 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 2026-10-19 · Polymarket series Japan J League · slug japan-j-league
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
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(), "japan-j-league", 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 Japan J League markets are in the archive?
3 markets from October 17, 2026 through now, of which 3 have resolved.
What data exists for each Japan J League 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 "japan-j-league" through the API and Python SDK, or downloadable as Parquet.
How much does a typical Japan J League market trade?
Average traded volume is $37.1K per market, $111.4K across the series.
Can I backtest strategies on Japan J League?
Yes. Pass the slug "japan-j-league" 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: ATP, MLB, WTA, NFL 2026, Premier League 2025, CFB 2026, or all sports series.
Try it
Pull Japan J League 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