Highest temperature in ManilaPolymarket historical data and price history
Highest temperature in Manila: a Polymarket weather series with markets recurring daily. Marketlens has captured 1,243 markets since July 7, 2026, of which 1,221 resolved, with $3.8M 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 Manila Daily Weather · slug manila-daily-weather
No new markets were collected from July 24, 2026 to August 2, 2026, so windows inside that gap return nothing.
Resolution outcomes
Outcomes across 1,221 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.
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.now(timezone.utc) - timedelta(days=1)
result = client.backtest(
MyStrategy(), "manila-daily-weather",
after=end - timedelta(hours=1), before=end, initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many Highest temperature in Manila markets are in the archive?
1,243 markets from July 7, 2026 through now, of which 1,221 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 Manila 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 "manila-daily-weather" through the API and Python SDK, or downloadable as Parquet.
How often do Highest temperature in Manila markets resolve No?
Of 1,221 resolved markets with a recorded outcome, 1,110 resolved No (90.9%) and 111 resolved Yes.
How much does a typical Highest temperature in Manila market trade?
Average traded volume is $3.0K per market, $3.8M across the series.
Can I backtest strategies on Highest temperature in Manila?
Yes. Pass the slug "manila-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 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
Replay Highest temperature in Manila tick by tick
The free tier includes 2M data rows and every market open in the last 7 days, no card required.
$ pip install marketlens