Highest temperature in Hong KongPolymarket historical data and price history

Highest temperature in Hong Kong: a Polymarket weather series with markets recurring daily. Marketlens has captured 1,254 markets since July 7, 2026, of which 1,232 resolved, with $17.1M in traded volume. No new markets were collected from July 24, 2026 to August 2, 2026, so windows inside that gap return nothing. 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.

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

Data as of 2026-11-02 · Polymarket series Hong Kong Daily Weather · slug hong-kong-daily-weather

Markets
1,254
Resolved
1,232
Traded volume
$17.1M
Avg volume / market
$14.1K
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: 1,100 (90.9%)Yes: 110 (9.1%)

Outcomes across 1,210 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 highest temperature in Hong Kong be 22°C or below on November 1?

closed 2026-11-02 · volume $205 · resolved No

Will the highest temperature in Hong Kong be 27°C on November 1?

closed 2026-11-02 · volume $7.2K · resolved No

Will the highest temperature in Hong Kong be 31°C on November 1?

closed 2026-11-02 · volume $3.1K · 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-weather", 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 Highest temperature in Hong Kong markets are in the archive?

1,254 markets from July 7, 2026 through now, of which 1,232 have resolved and 22 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 Highest temperature in Hong Kong 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 "hong-kong-daily-weather" through the API and Python SDK, or downloadable as Parquet.

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

Of 1,210 resolved markets with a recorded outcome, 1,100 resolved No (90.9%) and 110 resolved Yes.

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

Average traded volume is $14.1K per market, $17.1M across the series.

Can I backtest strategies on Highest temperature in Hong Kong?

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

Try it

Replay Highest temperature in Hong Kong tick by tick

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

bash
$ pip install marketlens