#1 Box Office This Weekend?Polymarket historical data and price history
#1 Box Office This Weekend: a standalone Polymarket other event with 8 markets and $54.8K in lifetime traded volume. 4 markets are trading. Marketlens records every market's order book at full depth, coverage running since September 28, 2026.
Data as of 2026-09-28
Top 4 of 8 markets
Query this event
from datetime import datetime, timedelta, timezone
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="#1 Box Office This Weekend", 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 "#1 Box Office This Weekend"?
8 markets with full depth L2 order book history recorded since September 28, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "#1 Box Office This Weekend" traded on Polymarket?
$54.8K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "#1 Box Office This Weekend" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "#1 Box Office This Weekend", 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 the last 7 days and Pro the full archive.
Related events: Which companies will be acquired before 2027?, Anthropic IPO by __?, Iran full airspace closure by...?, or the full event list.
Try it
Pull this event's books in one call
The free tier includes 2M data rows and the last 7 days of every market, no card required.
$ pip install marketlens