Will JPMorgan Chase (JPM) beat quarterly earningsPolymarket historical data and price history
Will JPMorgan Chase (JPM) beat quarterly earnings: a Polymarket equities series with markets recurring monthly. Marketlens has captured 1 market since September 30, 2026, of which 1 resolved, with $10.9K 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 2026-10-05 · Polymarket series JPM Earnings · slug jpm-earnings
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(), "jpm-earnings",
after=end - timedelta(hours=1), before=end, initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many Will JPMorgan Chase (JPM) beat quarterly earnings markets are in the archive?
1 markets from September 30, 2026 through now, of which 1 have resolved and 1 are active.
What data exists for each Will JPMorgan Chase (JPM) 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 "jpm-earnings" through the API and Python SDK, or downloadable as Parquet.
How much does a typical Will JPMorgan Chase (JPM) beat quarterly earnings market trade?
Average traded volume is $5.4K per market, $10.9K across the series.
Can I backtest strategies on Will JPMorgan Chase (JPM) beat quarterly earnings?
Yes. Pass the slug "jpm-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 JPMorgan Chase (JPM) beat quarterly earnings 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