Oura IPO Closing Market CapPolymarket historical data and price history
Oura IPO Closing Market Cap: a standalone Polymarket other event with 8 markets and $478.8K 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 2026-09-28
Top 5 of 8 markets
Will Oura's market cap be between $15B and $17.5B at market close on IPO day?
closes 2027-01-01 · volume $55.5K · last price 37.5%
Will Oura's market cap be between $12.5B and $15B at market close on IPO day?
closes 2027-01-01 · volume $91.2K · last price 24.5%
Will Oura's market cap be between $17.5B and $20B at market close on IPO day?
closes 2027-01-01 · volume $38.2K · last price 22.5%
Query this event
from datetime import datetime, timedelta, timezone
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=datetime.now(timezone.utc) - timedelta(days=2))
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?
$478.8K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "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; the free tier reads markets open in the last 7 days and Pro the full archive.
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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