Republicans win the Senate pending oil above or below $80?Polymarket historical data and price history
Republicans win the Senate pending oil above or below $80: a standalone Polymarket commodities event with 2 markets and $27.6K in lifetime traded volume. 2 markets are trading. Marketlens records every market's order book at full depth, coverage running since October 18, 2026.
Data as of 2026-10-19
Markets in this event
Query this event
from datetime import datetime, timedelta, timezone
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Republicans win the Senate pending oil above or below $80", 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 "Republicans win the Senate pending oil above or below $80"?
2 markets with full depth L2 order book history recorded since October 18, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Republicans win the Senate pending oil above or below $80" traded on Polymarket?
$27.6K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Republicans win the Senate pending oil above or below $80" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Republicans win the Senate pending oil above or below $80", 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: Crude Oil all time high by...?, Saudi Oil Pipeline (East-West) restarts by...?, Who wins the Senate pending oil below $85 before the midterms?, 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