Will LeBron James retire before next NBA season?Polymarket historical data and price history
Will LeBron James retire before next NBA season: a standalone Polymarket sports event with 1 market and $351.4K in lifetime traded volume. 1 markets are trading. Marketlens records every market's order book at full depth, coverage running since October 12, 2026.
Data as of 2026-10-19
The market in this event
Query this event
from datetime import datetime, timedelta, timezone
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Will LeBron James retire before next NBA season", 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 "Will LeBron James retire before next NBA season"?
1 markets with full depth L2 order book history recorded since October 12, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Will LeBron James retire before next NBA season" traded on Polymarket?
$351.4K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Will LeBron James retire before next NBA season" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Will LeBron James retire before next NBA season", 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