Emmys 2026: Outstanding lead actor in a comedy series
A standalone Polymarket other event with 5 markets and $43.6K in lifetime traded volume. 5 markets are trading. Marketlens records every market's order book at full depth, coverage running since September 9, 2026.
Data as of 2026-09-11
Markets in this event
Will Matthew Rhys – “Widow’s Bay” win Emmys 2026: Outstanding lead actor in a comedy series?
closes 2026-09-14 · volume $30.3K · last price 96.0%
Will Martin Short – “Only Murders in the Building” win Emmys 2026: Outstanding lead actor in a comedy series?
closes 2026-09-14 · volume $5.0K · last price 2.9%
Will Yahya Abdul-Mateen II – “Wonder Man” win Emmys 2026: Outstanding lead actor in a comedy series?
closes 2026-09-14 · volume $2.9K · last price 2.6%
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Emmys 2026: Outstanding lead actor in a comedy series", 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 "Emmys 2026: Outstanding lead actor in a comedy series"?
5 markets with full depth L2 order book history recorded since September 9, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Emmys 2026: Outstanding lead actor in a comedy series" traded on Polymarket?
$43.6K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Emmys 2026: Outstanding lead actor in a comedy series" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Emmys 2026: Outstanding lead actor in a comedy series", 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