Lucknow Daily Weather historical data
Lucknow Daily Weather is a Polymarket weather series with markets recurring daily. Marketlens has captured 433 markets since March 4, 2026, of which 410 resolved, with $929.7K 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 lucknow-daily-weather
Resolution outcomes
Outcomes across 410 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 433 markets.
Will the highest temperature in Lucknow be 34°C on August 16?
closed 2026-08-16 · volume $3.3K · resolved No
Will the highest temperature in Lucknow be 30°C on August 16?
closed 2026-08-16 · volume $4.3K · resolved No
Will the highest temperature in Lucknow be 36°C on August 16?
closed 2026-08-16 · volume $766 · resolved No
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "lucknow-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 Lucknow Daily Weather markets are in the archive?
433 markets from March 4, 2026 through August 16, 2026, of which 410 have resolved and 23 are active.
What data exists for each Lucknow 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 "lucknow-daily-weather" through the API and Python SDK, or downloadable as Parquet.
How often do Lucknow Daily Weather markets resolve No?
Of 410 resolved markets with a recorded outcome, 371 resolved No (90.5%) and 39 resolved Yes.
How much does a typical Lucknow Daily Weather market trade?
Average traded volume is $2.4K per market, $929.7K across the series.
Can I backtest strategies on Lucknow Daily Weather?
Yes. Pass the slug "lucknow-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, NYC Daily Weather, Paris Daily Weather, or all weather series.
Try it
Replay Lucknow 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