How many 6.5 or above earthquakes worldwidePolymarket historical data and price history
How many 6.5 or above earthquakes worldwide: a Polymarket weather series with markets recurring weekly. Marketlens has captured 9 markets since August 15, 2026, of which 9 resolved, with $45.5K 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.
For the weather archive as a whole, see Polymarket weather market data.
Data as of 2026-10-05 · Polymarket series 6.5 Earthquake Weekly · slug 6pt5-earthquake-weekly
Resolution outcomes
Outcomes across 9 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 9 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, 1, tzinfo=timezone.utc)
result = client.backtest(
MyStrategy(), "6pt5-earthquake-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 How many 6.5 or above earthquakes worldwide markets are in the archive?
9 markets from August 15, 2026 through August 31, 2026, of which 9 have resolved.
What data exists for each How many 6.5 or above earthquakes worldwide 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 "6pt5-earthquake-weekly" through the API and Python SDK, or downloadable as Parquet.
How much does a typical How many 6.5 or above earthquakes worldwide market trade?
Average traded volume is $5.1K per market, $45.5K across the series.
Can I backtest strategies on How many 6.5 or above earthquakes worldwide?
Yes. Pass the slug "6pt5-earthquake-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 How many 6.5 or above earthquakes worldwide 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