(SPY) hit Month historical data
(SPY) hit Month is a Polymarket equities series with markets recurring monthly. Marketlens has captured 24 markets since July 31, 2026, of which 11 resolved, with $212.1K 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.
Data as of 2026-09-04 · series slug spy-hit-month
Resolution outcomes
Outcomes across 11 resolved markets with a recorded winning outcome. Settlement in the archive is by winning outcome, not by final traded price.
Markets in this series
The most recently resolved of 24 markets.
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "spy-hit-month",
after="2026-08-25", before="2026-09-02", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many (SPY) hit Month markets are in the archive?
24 markets from July 31, 2026 through September 1, 2026, of which 11 have resolved and 13 are active.
What data exists for each (SPY) hit Month 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 "spy-hit-month" through the API and Python SDK, or downloadable as Parquet.
How much does a typical (SPY) hit Month market trade?
Average traded volume is $8.8K per market, $212.1K across the series.
Can I backtest strategies on (SPY) hit Month?
Yes. Pass the slug "spy-hit-month" 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.
Related series: S&P 500 monthly hit, SPY Daily Up or Down, SPY Hit Price Weekly, Meta Hit Price Monthly, Palantir Hit Price Monthly, OPEN Neg Risk Weekly, or all equities series.
Try it
Pull (SPY) hit Month books in one call
The free tier includes 25M rows per day with full API and full archive access, no card required.
$ pip install marketlens