Lowest temperature in Hong KongPolymarket historical data and price history

Lowest temperature in Hong Kong: a Polymarket weather series with markets recurring daily. Marketlens has captured 1,254 markets since July 7, 2026, of which 1,199 resolved, with $4.6M in traded volume. No new markets were collected from July 24, 2026 to August 2, 2026, so windows inside that gap return nothing. 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.

For the weather archive as a whole, see Polymarket weather market data.

Data as of 2026-11-02 · Polymarket series Hong Kong Daily Lowest Temperature · slug hong-kong-daily-lowest-temperature

Markets
1,254
Resolved
1,199
Traded volume
$4.6M
Avg volume / market
$3.6K
Cadence
daily
Coverage from
2026-07-07
Data through
now
Category
Weather

No new markets were collected from July 24, 2026 to August 2, 2026, so windows inside that gap return nothing.

Resolution outcomes

No: 1,090 (90.9%)Yes: 109 (9.1%)

Outcomes across 1,199 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 1,254 markets.

Will the lowest temperature in Hong Kong be 20°C on October 29?

closed 2026-10-30 · volume $530 · resolved No

Will the lowest temperature in Hong Kong be 27°C on October 29?

closed 2026-10-30 · volume $292 · resolved No

Will the lowest temperature in Hong Kong be 28°C on October 29?

closed 2026-10-30 · volume $276 · resolved No

Backtest this series

python
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(), "hong-kong-daily-lowest-temperature", after=end - timedelta(hours=1), before=end, initial_cash=1_000, ) result.show() # inspect the run in the dashboard

Available datasets

Order book snapshots and deltasfull L2 depth, millisecond price changes
Tradesindividual fills with side and size
CandlesOHLC at multiple resolutions
Bulk Parquet exportsfull markets for offline research
Backtestingtick level replay with realistic fills

Common questions

How many Lowest temperature in Hong Kong markets are in the archive?

1,254 markets from July 7, 2026 through now, of which 1,199 have resolved and 55 are active. No new markets were collected from July 24, 2026 to August 2, 2026, so windows inside that gap return nothing.

What data exists for each Lowest temperature in Hong Kong 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 "hong-kong-daily-lowest-temperature" through the API and Python SDK, or downloadable as Parquet.

How often do Lowest temperature in Hong Kong markets resolve No?

Of 1,199 resolved markets with a recorded outcome, 1,090 resolved No (90.9%) and 109 resolved Yes.

How much does a typical Lowest temperature in Hong Kong market trade?

Average traded volume is $3.6K per market, $4.6M across the series.

Can I backtest strategies on Lowest temperature in Hong Kong?

Yes. Pass the slug "hong-kong-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: Highest temperature in Hong Kong, Highest temperature in London, Highest temperature in Seoul (Incheon), Highest temperature in Shanghai, Highest temperature in NYC, Highest temperature in Paris, or all weather series.

Try it

Pull Lowest temperature in Hong Kong books in one call

The free tier includes 2M data rows and every market open in the last 7 days, no card required.

bash
$ pip install marketlens