Oura IPO Closing Market Cap
A standalone Polymarket other event with 8 markets and $176.4K in lifetime traded volume. 8 markets are trading. Marketlens records every market's order book at full depth, coverage running since August 15, 2026.
Data as of 2026-08-16
Top 5 markets by volume
Will Oura's market cap be between $12.5B and $15B at market close on IPO day?
closes 2027-01-01 · volume $50.6K · last price 10.5%
Will Oura's market cap be between $7.5B and $10B at market close on IPO day?
closes 2027-01-01 · volume $27.5K · last price 10.5%
Will Oura's market cap be between $10B and $12.5B at market close on IPO day?
closes 2027-01-01 · volume $22.4K · last price 14.0%
Will Oura's market cap be at least $20B at market close on IPO day?
closes 2027-01-01 · volume $20.6K · last price 13.5%
Will Oura's market cap be less than $7.5B at market close on IPO day?
closes 2027-01-01 · volume $19.1K · last price 7.5%
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Oura IPO Closing Market Cap", 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 "Oura IPO Closing Market Cap"?
8 markets with full depth L2 order book history recorded since August 15, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Oura IPO Closing Market Cap" traded on Polymarket?
$176.4K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Oura IPO Closing Market Cap" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Oura IPO Closing Market Cap", list the event's markets, then pull each market's order book history. Bulk Parquet exports cover full markets for offline work, and the free tier includes 5M rows per day.
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Try it
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$ pip install marketlens