Lowest temperature in ManilaPolymarket historical data and price history
Lowest temperature in Manila: a Polymarket weather series with markets recurring daily. Marketlens has captured 385 markets since August 20, 2026, of which 385 resolved, with $90.2K in traded volume. Every market's order book is captured as full depth L2 snapshots at regular intervals, alongside trades, candles, and the final resolution outcome.
For the weather archive as a whole, see Polymarket weather market data.
Data as of 2026-10-05 · Polymarket series Manila Daily Lowest Temperature · slug manila-daily-lowest-temperature
Resolution outcomes
Outcomes across 385 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 385 markets.
Backtest this series
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(2026, 9, 25, tzinfo=timezone.utc)
result = client.backtest(
MyStrategy(), "manila-daily-lowest-temperature",
after=end - timedelta(days=1), before=end, initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many Lowest temperature in Manila markets are in the archive?
385 markets from August 20, 2026 through September 24, 2026, of which 385 have resolved.
What data exists for each Lowest temperature in Manila market?
Full depth L2 order book snapshots at regular intervals, individual trades, OHLC candles, and the resolution outcome. All of it is queryable by the series slug "manila-daily-lowest-temperature" through the API and Python SDK, or downloadable as Parquet.
How often do Lowest temperature in Manila markets resolve No?
Of 385 resolved markets with a recorded outcome, 350 resolved No (90.9%) and 35 resolved Yes.
How much does a typical Lowest temperature in Manila market trade?
Average traded volume is $268 per market, $90.2K across the series.
Can I backtest strategies on Lowest temperature in Manila?
Yes. Pass the slug "manila-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 Manila books in one call
The free tier includes 2M data rows and every market open in the last 7 days, no card required.
$ pip install marketlens