Exceptional drought (D4) by statePolymarket historical data and price history
Exceptional drought (D4) by state: a Polymarket weather series with markets recurring weekly. Marketlens has captured 40 markets since August 28, 2026, of which 40 resolved, with $25.6K 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 2026-10-19 · Polymarket series Exceptional Drought This Week · slug drought-d4-weekly
Resolution outcomes
Outcomes across 40 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 40 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, 4, tzinfo=timezone.utc)
result = client.backtest(
MyStrategy(), "drought-d4-weekly",
after=end - timedelta(days=1), before=end, initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many Exceptional drought (D4) by state markets are in the archive?
40 markets from August 28, 2026 through September 3, 2026, of which 40 have resolved.
What data exists for each Exceptional drought (D4) by state 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 "drought-d4-weekly" through the API and Python SDK, or downloadable as Parquet.
How often do Exceptional drought (D4) by state markets resolve No?
Of 40 resolved markets with a recorded outcome, 28 resolved No (70.0%) and 12 resolved Yes.
How much does a typical Exceptional drought (D4) by state market trade?
Average traded volume is $640 per market, $25.6K across the series.
Can I backtest strategies on Exceptional drought (D4) by state?
Yes. Pass the slug "drought-d4-weekly" 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 Exceptional drought (D4) by state 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