Australia CupPolymarket historical data and price history
Australia Cup: a Polymarket sports series with markets recurring daily. Marketlens has captured 442 markets since July 14, 2026, of which 444 resolved, with $887.8K in traded volume. Every market's order book is stored in full: periodic L2 snapshots plus every individual price change with a millisecond timestamp, 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 Australia Cup · slug soccer-auc
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 444 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(), "soccer-auc", 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 Australia Cup markets are in the archive?
442 markets from July 14, 2026 through now, of which 444 have resolved.
What data exists for each Australia Cup market?
Full L2 order book history (snapshots plus every price change at millisecond resolution), individual trades, OHLC candles, and the resolution outcome. All of it is queryable by the series slug "soccer-auc" through the API and Python SDK, or downloadable as Parquet.
How much does a typical Australia Cup market trade?
Average traded volume is $2.0K per market, $887.8K across the series.
Can I backtest strategies on Australia Cup?
Yes. Pass the slug "soccer-auc" to client.backtest() in the Python SDK. Execution mode replays every market's order book tick by tick and fills simulated orders against real historical depth with queue priority, latency, and fee modelling; Alpha mode replays one bar per market for slower signals over long windows. This series mixes several bet types, so pass subtype= (e.g. "moneyline") to backtest one type at a time.
Related series: ATP, MLB, NFL 2026, WTA, NBA 2026, Premier League 2025, or all sports series.
Try it
Replay Australia Cup tick by tick
The free tier includes 2M data rows and every market open in the last 7 days, no card required.
$ pip install marketlens