Women's Ballon d'Or Winner 2026Polymarket historical data and price history
Women's Ballon d'Or Winner 2026: a standalone Polymarket sports event with 41 markets and $43.8K in lifetime traded volume. 20 markets are trading. Marketlens records every market's order book at full depth, coverage running since October 9, 2026.
Data as of 2026-10-12
Top 5 of 41 markets
Will Alexia Putellas win the 2026 Women's Ballon d'Or?
closes 2026-10-27 · volume $28.6K · last price 93.3%
Will Claudia Pina win the 2026 Women's Ballon d'Or?
closes 2026-10-27 · volume $1.3K · last price 1.5%
Query this event
from datetime import datetime, timedelta, timezone
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Women's Ballon d'Or Winner 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=datetime.now(timezone.utc) - timedelta(days=2))
print(book.midpoint, book.bid_depth, book.ask_depth)Common questions
What data does Marketlens have for "Women's Ballon d'Or Winner 2026"?
41 markets with full depth L2 order book history recorded since October 9, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Women's Ballon d'Or Winner 2026" traded on Polymarket?
$43.8K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Women's Ballon d'Or Winner 2026" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Women's Ballon d'Or Winner 2026", 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.
Related events: F1 Drivers' Champion, Pro Football: 2027 Champion, UEFA Champions League: 2027 Champion, or the full event list.
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