Israeli airspace closed by...? (Excluding Holiday Closures)Polymarket historical data and price history
Israeli airspace closed by...? (Excluding Holiday Closures): a standalone Polymarket politics event with 3 markets and $40.1K in lifetime traded volume. 3 markets are trading. Marketlens records every market's order book at full depth, coverage running since September 16, 2026.
Data as of 2026-09-17
Markets in this event
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Israeli airspace closed by...? (Excluding Holiday Closures)", 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 "Israeli airspace closed by...? (Excluding Holiday Closures)"?
3 markets with full depth L2 order book history recorded since September 16, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Israeli airspace closed by...? (Excluding Holiday Closures)" traded on Polymarket?
$40.1K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Israeli airspace closed by...? (Excluding Holiday Closures)" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Israeli airspace closed by...? (Excluding Holiday Closures)", 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 1M rows per day.
Related events: Democratic Presidential Nominee 2028, Presidential Election Winner 2028, Republican Presidential Nominee 2028, or the full event list.
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The free tier includes 1M rows per day with full API and full archive access, no card required.
$ pip install marketlens