NFLX Daily Up or Down historical data
NFLX Daily Up or Down is a Polymarket equities series with markets recurring daily. Marketlens has captured 105 markets since March 2, 2026, of which 103 resolved, with $61.0K 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.
Data as of 2026-08-05 · series slug nflx-daily-up-or-down
Resolution outcomes
Outcomes across 103 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
- Netflix (NFLX) Up or Down on August 4?
- Netflix (NFLX) Up or Down on August 3?
- Netflix (NFLX) Up or Down on July 27?
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "nflx-daily-up-or-down",
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 NFLX Daily Up or Down markets are in the archive?
105 markets from March 2, 2026 through August 5, 2026, of which 103 have resolved and 2 are active.
What data exists for each NFLX Daily Up or Down 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-daily-up-or-down" through the API and Python SDK, or downloadable as Parquet.
How often do NFLX Daily Up or Down markets resolve Down?
Of 103 resolved markets with a recorded outcome, 54 resolved Down (52.4%) and 49 resolved Up.
How much does a typical NFLX Daily Up or Down market trade?
Average traded volume is $1.0K per market, $61.0K across the series.
Can I backtest strategies on NFLX Daily Up or Down?
Yes. Pass the slug "nflx-daily-up-or-down" 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 NFLX Daily Up or Down tick by tick
The free tier includes 5M events per day with full API and full archive access, no card required.
$ pip install marketlens