Oscars 2027: Best Picture WinnerPolymarket historical data and price history
Oscars 2027: Best Picture Winner: a standalone Polymarket other event with 46 markets and $417.1K in lifetime traded volume. 22 markets are trading. Marketlens records every market's order book at full depth, coverage running since September 6, 2026.
Data as of 2026-10-19
Top 5 of 46 markets
Will The Odyssey win Best Picture at the 99th Academy Awards?
closes 2027-03-14 · volume $166.3K · last price 47.0%
Will La Bola Negra win Best Picture at the 99th Academy Awards?
closes 2027-03-14 · volume $24.1K · last price 19.0%
Will Film D win Best Picture at the 99th Academy Awards?
closes 2027-03-14 · volume $18.2K · last price 18.2%
Query this event
from datetime import datetime, timedelta, timezone
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Oscars 2027: Best Picture Winner", 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 "Oscars 2027: Best Picture Winner"?
46 markets with full depth L2 order book history recorded since September 6, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Oscars 2027: Best Picture Winner" traded on Polymarket?
$417.1K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Oscars 2027: Best Picture Winner" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Oscars 2027: Best Picture Winner", 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: Which companies will be acquired before 2027?, Will the Tesla Roadster's 0-60 time be less than 1 second?, Anthropic IPO by __?, 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