Iran full airspace closure by...?
A standalone Polymarket other event with 4 markets and $2.2M in lifetime traded volume. 1 markets have resolved and 3 are still trading. Marketlens records every market's order book at full depth, coverage running since August 15, 2026.
Data as of 2026-08-16
Markets in this event
Iran full airspace closure by August 31?
closes 2026-08-31 · volume $1.2M · last price 6.5%
Iran full airspace closure by August 15?
closed 2026-08-16 · volume $741.4K · resolved No
Iran full airspace closure by December 31?
closes 2026-12-31 · volume $122.6K · last price 32.0%
Iran full airspace closure by September 30?
closes 2026-09-30 · volume $116.4K · last price 14.5%
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Iran full airspace closure 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
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 "Iran full airspace closure by..."?
4 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 "Iran full airspace closure by..." traded on Polymarket?
$2.2M in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Iran full airspace closure by..." data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Iran full airspace closure by...", 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 5M rows per day.
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Try it
Pull this event's books in one call
The free tier includes 5M rows per day with full API and full archive access, no card required.
$ pip install marketlens