Netflix (NFLX) closesPolymarket historical data and price history
Netflix (NFLX) closes: a Polymarket equities series with markets recurring weekly. Marketlens has captured 344 markets since March 1, 2026, of which 344 resolved, with $462.0K 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 2026-11-02 · Polymarket series NFLX Neg Risk Weekly · slug nflx-neg-risk-weekly
Resolution outcomes
Outcomes across 344 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 355 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(), "nflx-neg-risk-weekly",
after=end - timedelta(hours=1), before=end, initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many Netflix (NFLX) closes markets are in the archive?
344 markets from March 1, 2026 through now, of which 344 have resolved and 11 are active.
What data exists for each Netflix (NFLX) closes 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 "nflx-neg-risk-weekly" through the API and Python SDK, or downloadable as Parquet.
How often do Netflix (NFLX) closes markets resolve No?
Of 344 resolved markets with a recorded outcome, 312 resolved No (90.7%) and 32 resolved Yes.
How much does a typical Netflix (NFLX) closes market trade?
Average traded volume is $1.4K per market, $462.0K across the series.
Can I backtest strategies on Netflix (NFLX) closes?
Yes. Pass the slug "nflx-neg-risk-weekly" 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 Netflix (NFLX) closes 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