Will Michael Olise Transfer to Real Madrid?

A standalone Polymarket sports event with 1 market and $40.2K in lifetime traded volume. 1 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

Markets
1
Resolved
0
Traded volume
$40.2K
Collected since
2026-08-15

The market in this event

Will Michael Olise Transfer to Real Madrid?

closes 2026-08-31 · volume $40.2K · last price 1.3%

Query this event

python
from marketlens import MarketLens client = MarketLens() [event] = client.events.list(q="Will Michael Olise Transfer to Real Madrid", 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 "Will Michael Olise Transfer to Real Madrid"?

1 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 "Will Michael Olise Transfer to Real Madrid" traded on Polymarket?

$40.2K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.

How do I download "Will Michael Olise Transfer to Real Madrid" data?

Query it through the REST API or the Python SDK (pip install marketlens): search events for "Will Michael Olise Transfer to Real Madrid", 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.

Related events: F1 Drivers' Champion, Pro Football: 2027 Champion, MLB World Series Champion 2026, or the full event list.

Try it

Pull this event's books in one call

The free tier includes 5M rows per day with full API and full archive access, no card required.

bash
$ pip install marketlens