Israel closes its airspace by...?Polymarket historical data and price history
Israel closes its airspace by: a standalone Polymarket politics event with 3 markets and $6.1M in lifetime traded volume. All markets have resolved, each with its winning outcome stored. Marketlens records every market's order book at full depth, coverage running since August 15, 2026 through September 20, 2026.
Data as of 2026-09-28
Markets in this event
Query this event
from datetime import datetime, timedelta, timezone
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Israel closes its airspace by", 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
# a free key reads markets open in the last 7 days
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 "Israel closes its airspace by"?
3 markets with full depth L2 order book history recorded since August 15, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Israel closes its airspace by" traded on Polymarket?
$6.1M in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Israel closes its airspace by" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Israel closes its airspace by", 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: Democratic Presidential Nominee 2028, Presidential Election Winner 2028, Republican Presidential Nominee 2028, 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