S&P 500 monthly hit historical data
S&P 500 monthly hit is a Polymarket equities series with markets recurring monthly. Marketlens has captured 26 markets since March 1, 2026, of which 26 resolved, with $1.4M 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.
Data as of 2026-08-05 · series slug sp-500-monthly-hit
Resolution outcomes
Outcomes across 26 resolved markets with a recorded winning outcome. Settlement in the archive is by winning outcome, not by final traded price.
Recent markets in this series
- Will S&P 500 (SPX) hit $7,700 (HIGH) in June?
- Will S&P 500 (SPX) hit $6,000 (LOW) in June?
- Will S&P 500 (SPX) hit $8,000 (HIGH) in June?
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "sp-500-monthly-hit",
after="2026-07-29", before="2026-08-06", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many S&P 500 monthly hit markets are in the archive?
26 markets from March 1, 2026 through August 5, 2026, of which 26 have resolved.
What data exists for each S&P 500 monthly hit 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 "sp-500-monthly-hit" through the API and Python SDK, or downloadable as Parquet.
How often do S&P 500 monthly hit markets resolve No?
Of 26 resolved markets with a recorded outcome, 20 resolved No (76.9%) and 6 resolved Yes.
How much does a typical S&P 500 monthly hit market trade?
Average traded volume is $53.8K per market, $1.4M across the series.
Can I backtest strategies on S&P 500 monthly hit?
Yes. Pass the slug "sp-500-monthly-hit" 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.
Related series: SPY Daily Up or Down, SPY Hit Price Weekly, Meta Hit Price Monthly, Palantir Hit Price Monthly, OPEN Neg Risk Weekly, Apple Hit Price Monthly, or all equities series.
Try it
Replay S&P 500 monthly hit tick by tick
The free tier includes 5M events per day with full API and full archive access, no card required.
$ pip install marketlens