Busan Daily Lowest Temperature historical data
Busan Daily Lowest Temperature is a Polymarket weather series with markets recurring daily. Marketlens has captured 264 markets since August 20, 2026, of which 231 resolved, with $1.5K in traded volume. Order books are stored at full depth, with every individual price change captured at millisecond resolution on the most actively traded markets, alongside trades, candles, and the final resolution outcome.
Data as of 2026-09-11 · series slug busan-daily-lowest-temperature
Resolution outcomes
Outcomes across 231 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 264 markets.
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "busan-daily-lowest-temperature",
after="2026-09-04", before="2026-09-12", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many Busan Daily Lowest Temperature markets are in the archive?
264 markets from August 20, 2026 through September 11, 2026, of which 231 have resolved and 33 are active.
What data exists for each Busan Daily Lowest Temperature market?
Full depth L2 order book snapshots at regular intervals, individual trades, OHLC candles, and the resolution outcome, with the full price change stream at millisecond resolution on the most actively traded markets in the series. All of it is queryable by the series slug "busan-daily-lowest-temperature" through the API and Python SDK, or downloadable as Parquet.
How often do Busan Daily Lowest Temperature markets resolve No?
Of 231 resolved markets with a recorded outcome, 210 resolved No (90.9%) and 21 resolved Yes.
How much does a typical Busan Daily Lowest Temperature market trade?
Average traded volume is $15 per market, $1.5K across the series.
Can I backtest strategies on Busan Daily Lowest Temperature?
Yes. Pass the slug "busan-daily-lowest-temperature" to client.backtest() in the Python SDK. Execution mode replays order books against real historical depth; Alpha mode, one bar per market, covers every market in the series and suits its longer horizons.
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
Pull Busan Daily Lowest Temperature books in one call
The free tier includes 25M rows per day with full API and full archive access, no card required.
$ pip install marketlens