Meta Hit Price Monthly historical data
Meta Hit Price Monthly is a Polymarket equities series with markets recurring monthly. Marketlens has captured 65 markets since March 9, 2026, of which 52 resolved, with $405.5K 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 meta-hit-price-monthly
Resolution outcomes
Outcomes across 52 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 Meta Platforms, Inc. (META) hit (LOW) $580 in August?
- Will Meta Platforms, Inc. (META) hit (LOW) $560 in August?
- Will Meta Platforms, Inc. (META) hit (HIGH) $640 in July?
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "meta-hit-price-monthly",
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 Meta Hit Price Monthly markets are in the archive?
65 markets from March 9, 2026 through August 5, 2026, of which 52 have resolved and 13 are active.
What data exists for each Meta Hit Price Monthly 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 "meta-hit-price-monthly" through the API and Python SDK, or downloadable as Parquet.
How often do Meta Hit Price Monthly markets resolve No?
Of 52 resolved markets with a recorded outcome, 33 resolved No (63.5%) and 19 resolved Yes.
How much does a typical Meta Hit Price Monthly market trade?
Average traded volume is $7.2K per market, $405.5K across the series.
Can I backtest strategies on Meta Hit Price Monthly?
Yes. Pass the slug "meta-hit-price-monthly" 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: Meta Hit Price Weekly, S&P 500 monthly hit, SPY Daily Up or Down, SPY Hit Price Weekly, Palantir Hit Price Monthly, OPEN Neg Risk Weekly, or all equities series.
Try it
Replay Meta Hit Price Monthly tick by tick
The free tier includes 5M events per day with full API and full archive access, no card required.
$ pip install marketlens