Which movie has biggest opening week in 2026?
A standalone Polymarket other event with 32 markets and $123.4K in lifetime traded volume. 5 markets are trading. Marketlens records every market's order book at full depth, coverage running since September 1, 2026.
Data as of 2026-09-04
Top 5 of 32 markets
Will Spider-Man: Brand New Day have the best domestic opening week in 2026?
closes 2027-01-01 · volume $51.2K · last price 35.5%
Will Avengers: Doomsday have the best domestic opening week in 2026?
closes 2027-01-01 · volume $61.4K · last price 65.0%
Will Dune: Messiah have the best domestic opening week in 2026?
closes 2027-01-01 · volume $3.7K · last price <1%
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Which movie has biggest opening week in 2026", 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="2026-08-16T12:00:00Z")
print(book.midpoint, book.bid_depth, book.ask_depth)Common questions
What data does Marketlens have for "Which movie has biggest opening week in 2026"?
32 markets with full depth L2 order book history recorded since September 1, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Which movie has biggest opening week in 2026" traded on Polymarket?
$123.4K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Which movie has biggest opening week in 2026" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Which movie has biggest opening week in 2026", list the event's markets, then pull each market's order book history. Bulk Parquet exports cover full markets for offline work, and the free tier includes 25M rows per day.
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Try it
Pull this event's books in one call
The free tier includes 25M rows per day with full API and full archive access, no card required.
$ pip install marketlens