Where will 2026 rank among the hottest years on record?
A standalone Polymarket weather event with 6 markets and $3.3M in lifetime traded volume. 6 markets are trading. Marketlens records every market's order book at full depth, coverage running since August 18, 2026.
Data as of 2026-08-24
Top 5 markets by volume
Will 2026 be the fifth-hottest year on record?
closes 2026-12-31 · volume $820.7K · last price 0.25%
Will 2026 be the hottest year on record?
closes 2026-12-31 · volume $571.1K · last price 75.5%
Will 2026 rank as the sixth-hottest year on record or lower?
closes 2026-12-31 · volume $534.2K · last price 0.50%
Will 2026 be the fourth-hottest year on record?
closes 2026-12-31 · volume $512.6K · last price 0.45%
Will 2026 be the third-hottest year on record?
closes 2026-12-31 · volume $497.3K · last price 2.1%
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Where will 2026 rank among the hottest years 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="2026-08-16T12:00:00Z")
print(book.midpoint, book.bid_depth, book.ask_depth)Common questions
What data does Marketlens have for "Where will 2026 rank among the hottest years on record"?
6 markets with full depth L2 order book history recorded since August 18, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Where will 2026 rank among the hottest years on record" traded on Polymarket?
$3.3M in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Where will 2026 rank among the hottest years on record" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Where will 2026 rank among the hottest years on record", list the event's markets, then pull each market's order book history. Bulk Parquet exports cover full markets for offline work, and the free tier includes 25M rows per day.
Related events: Hantavirus pandemic in 2026?, Largest IPO by market cap in 2026?, 10.0 or above earthquake before 2027?, or the full event list.
Try it
Pull this event's 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