Who wins the Senate pending oil above or below $80 before the midterms?Polymarket historical data and price history
Who wins the Senate pending oil above or below $80 before the midterms: a standalone Polymarket commodities event with 4 markets and $477.2K in lifetime traded volume. 4 markets are trading. Marketlens records every market's order book at full depth, coverage running since October 13, 2026.
Data as of 2026-10-19
Markets in this event
Will oil be at least $80 on November 2 and the Democrats win the Senate?
closes 2026-11-04 · volume $45.3K · last price 62.4%
Will oil be at least $80 on November 2 and the Republicans win the Senate?
closes 2026-11-04 · volume $19.2K · last price 31.4%
Query this event
from datetime import datetime, timedelta, timezone
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Who wins the Senate pending oil above or below $80 before the midterms", 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 "Who wins the Senate pending oil above or below $80 before the midterms"?
4 markets with full depth L2 order book history recorded since October 13, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Who wins the Senate pending oil above or below $80 before the midterms" traded on Polymarket?
$477.2K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Who wins the Senate pending oil above or below $80 before the midterms" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Who wins the Senate pending oil above or below $80 before the midterms", 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