Meta (META) closes abovePolymarket historical data and price history
Meta (META) closes above: a Polymarket equities series with markets recurring daily. Marketlens has captured 165 markets since August 18, 2026, of which 165 resolved, with $159.0K 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 META Multi Strikes Daily · slug meta-multi-strikes-daily
Resolution outcomes
Outcomes across 165 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 170 markets.
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.now(timezone.utc) - timedelta(days=1)
result = client.backtest(
MyStrategy(), "meta-multi-strikes-daily",
after=end - timedelta(hours=1), before=end, initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many Meta (META) closes above markets are in the archive?
165 markets from August 18, 2026 through now, of which 165 have resolved and 5 are active.
What data exists for each Meta (META) closes above 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 (META) closes above markets resolve Yes?
Of 165 resolved markets with a recorded outcome, 102 resolved Yes (61.8%) and 63 resolved No.
How much does a typical Meta (META) closes above market trade?
Average traded volume is $946 per market, $159.0K across the series.
Can I backtest strategies on Meta (META) closes above?
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.
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Try it
Replay Meta (META) closes above 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