Will GameStop (GME) beat quarterly earningsPolymarket historical data and price history
Will GameStop (GME) beat quarterly earnings: a Polymarket equities series with markets recurring monthly. Marketlens has captured 3 markets since March 24, 2026, of which 3 resolved, with $22.6K 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 equities archive as a whole, see Polymarket price history.
Data as of 2026-09-17 · Polymarket series GME Earnings · slug gme-earnings
Resolution outcomes
Outcomes across 3 resolved markets with a recorded winning outcome. Settlement in the archive is by winning outcome, not by final traded price.
The market in this series
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "gme-earnings",
after="2026-09-01", before="2026-09-09", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many Will GameStop (GME) beat quarterly earnings markets are in the archive?
3 markets from March 24, 2026 through September 8, 2026, of which 3 have resolved.
What data exists for each Will GameStop (GME) beat quarterly earnings 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 "gme-earnings" through the API and Python SDK, or downloadable as Parquet.
How much does a typical Will GameStop (GME) beat quarterly earnings market trade?
Average traded volume is $11.3K per market, $22.6K across the series.
Can I backtest strategies on Will GameStop (GME) beat quarterly earnings?
Yes. Pass the slug "gme-earnings" 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.
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Try it
Replay Will GameStop (GME) beat quarterly earnings tick by tick
The free tier includes 1M rows per day with full API and full archive access, no card required.
$ pip install marketlens