Saudi Arabia military action against Yemen on...?Polymarket historical data and price history
Saudi Arabia military action against Yemen on: a standalone Polymarket politics event with 13 markets and $209.3K in lifetime traded volume. 2 markets have resolved and 11 are still trading. Marketlens records every market's order book at full depth, coverage running since September 20, 2026.
Data as of 2026-10-05
Top 5 of 13 markets
Saudi Arabia military action against Yemen on September 20?
closes 2026-09-20 · volume $2.2K · last price 50.0%
Saudi Arabia military action against Yemen on September 23?
closes 2026-09-23 · volume $10.8K · last price 56.5%
Saudi Arabia military action against Yemen on September 21?
closes 2026-09-21 · volume $28.2K · last price 60.0%
Query this event
from datetime import datetime, timedelta, timezone
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Saudi Arabia military action against Yemen on", 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 "Saudi Arabia military action against Yemen on"?
13 markets with full depth L2 order book history recorded since September 20, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Saudi Arabia military action against Yemen on" traded on Polymarket?
$209.3K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Saudi Arabia military action against Yemen on" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Saudi Arabia military action against Yemen on", 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