5.5 Earthquake historical data
5.5 Earthquake is a Polymarket weather series with markets recurring weekly. Marketlens has captured 27 markets since August 7, 2026, of which 27 resolved, with $123.3K in traded volume. 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.
Data as of 2026-09-11 · series slug 5-5-earthquake
Resolution outcomes
Outcomes across 27 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 27 markets.
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "5-5-earthquake",
after="2026-08-31", before="2026-09-08", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many 5.5 Earthquake markets are in the archive?
27 markets from August 7, 2026 through September 7, 2026, of which 27 have resolved.
What data exists for each 5.5 Earthquake 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 "5-5-earthquake" through the API and Python SDK, or downloadable as Parquet.
How often do 5.5 Earthquake markets resolve No?
Of 27 resolved markets with a recorded outcome, 24 resolved No (88.9%) and 3 resolved Yes.
How much does a typical 5.5 Earthquake market trade?
Average traded volume is $4.6K per market, $123.3K across the series.
Can I backtest strategies on 5.5 Earthquake?
Yes. Pass the slug "5-5-earthquake" 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: Hong Kong Daily Weather, London Daily Weather, Seoul Daily Weather, Shanghai Daily Weather, NYC Daily Weather, Paris Daily Weather, or all weather series.
Try it
Pull 5.5 Earthquake books in one call
The free tier includes 25M rows per day with full API and full archive access, no card required.
$ pip install marketlens