How many tropical cyclones will make landfall in China during 2026?Polymarket historical data and price history
How many tropical cyclones will make landfall in China during 2026: a standalone Polymarket weather event with 6 markets and $84.1K in lifetime traded volume. 6 markets are trading. Marketlens records every market's order book at full depth, coverage running since September 27, 2026.
Data as of 2026-09-28
Top 5 of 6 markets
Will exactly 8 tropical cyclones make landfall in China during 2026?
closes 2027-07-01 · volume $14.9K · last price 41.5%
Will more than 8 tropical cyclones make landfall in China during 2026?
closes 2027-07-01 · volume $33.4K · last price 34.0%
Will exactly 7 tropical cyclones make landfall in China during 2026?
closes 2027-07-01 · volume $22.3K · last price 11.0%
Query this event
from datetime import datetime, timedelta, timezone
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="How many tropical cyclones will make landfall in China during 2026", 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 "How many tropical cyclones will make landfall in China during 2026"?
6 markets with full depth L2 order book history recorded since September 27, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "How many tropical cyclones will make landfall in China during 2026" traded on Polymarket?
$84.1K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "How many tropical cyclones will make landfall in China during 2026" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "How many tropical cyclones will make landfall in China during 2026", 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 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 the last 7 days of every market, no card required.
$ pip install marketlens