US imports Russian diesel by October 31?Polymarket historical data and price history
US imports Russian diesel by October 31: a standalone Polymarket commodities event with 1 market and $125.9K in lifetime traded volume. 1 markets are trading. Marketlens records every market's order book at full depth, coverage running since October 11, 2026.
Data as of 2026-10-12
The market in this event
Query this event
from datetime import datetime, timedelta, timezone
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="US imports Russian diesel by October 31", 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 "US imports Russian diesel by October 31"?
1 markets with full depth L2 order book history recorded since October 11, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "US imports Russian diesel by October 31" traded on Polymarket?
$125.9K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "US imports Russian diesel by October 31" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "US imports Russian diesel by October 31", 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.
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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