META Multi Strikes Daily historical data
META Multi Strikes Daily is a Polymarket equities series with markets recurring daily. Marketlens has captured 95 markets since August 18, 2026, of which 90 resolved, with $2.8K 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 2026-09-11 · series slug meta-multi-strikes-daily
Resolution outcomes
Outcomes across 90 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 95 markets.
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "meta-multi-strikes-daily",
after="2026-09-04", before="2026-09-12", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many META Multi Strikes Daily markets are in the archive?
95 markets from August 18, 2026 through September 11, 2026, of which 90 have resolved and 5 are active.
What data exists for each META Multi Strikes Daily 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-multi-strikes-daily" through the API and Python SDK, or downloadable as Parquet.
How often do META Multi Strikes Daily markets resolve Yes?
Of 90 resolved markets with a recorded outcome, 53 resolved Yes (58.9%) and 37 resolved No.
How much does a typical META Multi Strikes Daily market trade?
Average traded volume is $346 per market, $2.8K across the series.
Can I backtest strategies on META Multi Strikes Daily?
Yes. Pass the slug "meta-multi-strikes-daily" 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: 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
Replay META Multi Strikes Daily tick by tick
The free tier includes 25M rows per day with full API and full archive access, no card required.
$ pip install marketlens