NYC Daily Weather historical data
NYC Daily Weather is a Polymarket weather series with markets recurring daily. Marketlens has captured 424 markets since March 1, 2026, of which 402 resolved, with $2.3M 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 2026-08-16 · series slug nyc-daily-weather
Resolution outcomes
Outcomes across 402 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 424 markets.
Will the highest temperature in New York City be between 78-79°F on August 15?
closed 2026-08-16 · volume $1.5K · resolved No
Will the highest temperature in New York City be between 90-91°F on August 15?
closed 2026-08-16 · volume $1.4K · resolved No
Will the highest temperature in New York City be between 84-85°F on August 15?
closed 2026-08-16 · volume $3.4K · resolved Yes
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "nyc-daily-weather",
after="2026-08-09", before="2026-08-17", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many NYC Daily Weather markets are in the archive?
424 markets from March 1, 2026 through August 16, 2026, of which 402 have resolved and 22 are active.
What data exists for each NYC Daily Weather 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 "nyc-daily-weather" through the API and Python SDK, or downloadable as Parquet.
How often do NYC Daily Weather markets resolve No?
Of 402 resolved markets with a recorded outcome, 360 resolved No (89.6%) and 42 resolved Yes.
How much does a typical NYC Daily Weather market trade?
Average traded volume is $6.5K per market, $2.3M across the series.
Can I backtest strategies on NYC Daily Weather?
Yes. Pass the slug "nyc-daily-weather" 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: Hong Kong Daily Weather, London Daily Weather, Seoul Daily Weather, Shanghai Daily Weather, Paris Daily Weather, Munich Daily Weather, or all weather series.
Try it
Replay NYC Daily Weather tick by tick
The free tier includes 5M rows per day with full API and full archive access, no card required.
$ pip install marketlens