Will ARM (ARM) beat quarterly earningsPolymarket historical data and price history
Will ARM (ARM) beat quarterly earnings: a Polymarket equities series with markets recurring monthly. Marketlens has captured 1 market since July 29, 2026, of which 1 resolved, with $15.4K 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 ARM Earnings · slug arm-earnings
The market 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(2026, 7, 30, tzinfo=timezone.utc)
result = client.backtest(
MyStrategy(), "arm-earnings",
after=end - timedelta(days=1), before=end, initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many Will ARM (ARM) beat quarterly earnings markets are in the archive?
1 markets from July 29, 2026 through July 29, 2026, of which 1 have resolved.
What data exists for each Will ARM (ARM) 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 "arm-earnings" through the API and Python SDK, or downloadable as Parquet.
Can I backtest strategies on Will ARM (ARM) beat quarterly earnings?
Yes. Pass the slug "arm-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 ARM (ARM) 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