Lowest temperature in ShanghaiPolymarket historical data and price history

Lowest temperature in Shanghai: a Polymarket weather series with markets recurring daily. Marketlens has captured 1,243 markets since July 7, 2026, of which 1,210 resolved, with $2.2M 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 Shanghai Daily Lowest Temperature · slug shanghai-daily-lowest-temperature

Markets
1,243
Resolved
1,210
Traded volume
$2.2M
Avg volume / market
$1.8K
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 1,243 markets.

Will the lowest temperature in Shanghai be 20°C on October 31?

closed 2026-11-01 · volume $180 · resolved No

Will the lowest temperature in Shanghai be 13°C on October 31?

closed 2026-11-01 · volume $784 · resolved Yes

Will the lowest temperature in Shanghai be 17°C on October 31?

closed 2026-11-01 · volume $95 · 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(), "shanghai-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 Shanghai markets are in the archive?

1,243 markets from July 7, 2026 through now, of which 1,210 have resolved and 33 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 Shanghai 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 "shanghai-daily-lowest-temperature" through the API and Python SDK, or downloadable as Parquet.

How often do Lowest temperature in Shanghai 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 Lowest temperature in Shanghai market trade?

Average traded volume is $1.8K per market, $2.2M across the series.

Can I backtest strategies on Lowest temperature in Shanghai?

Yes. Pass the slug "shanghai-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 Shanghai 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