October 2026 1st, 2nd, or 3rd hottest on record?Polymarket historical data and price history
October 2026 1st, 2nd, or 3rd hottest on record: a standalone Polymarket weather event with 4 markets and $29.3K in lifetime traded volume. 4 markets are trading. Marketlens records every market's order book at full depth, coverage running since October 13, 2026.
Data as of 2026-10-19
Markets in this event
Query this event
from datetime import datetime, timedelta, timezone
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="October 2026 1st, 2nd, or 3rd hottest on record", take=1)
for market in client.events.markets(event.id, take=5):
print(market.question, market.outcomes[0].last_price)
# the order book behind any market, at any past moment
book = client.orderbook.get(market.id, at=datetime.now(timezone.utc) - timedelta(days=2))
print(book.midpoint, book.bid_depth, book.ask_depth)Common questions
What data does Marketlens have for "October 2026 1st, 2nd, or 3rd hottest on record"?
4 markets with full depth L2 order book history recorded since October 13, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "October 2026 1st, 2nd, or 3rd hottest on record" traded on Polymarket?
$29.3K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "October 2026 1st, 2nd, or 3rd hottest on record" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "October 2026 1st, 2nd, or 3rd hottest on record", list the event's markets, then pull each market's order book history. Bulk Parquet exports cover full markets for offline work; the free tier reads markets open in the last 7 days and Pro the full archive.
Related events: Hantavirus pandemic in 2026?, Largest IPO by market cap in 2026?, Where will 2026 rank among the hottest years on record?, or the full event list.
Try it
Pull this event's 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