Presidents Cup 2026 WinnerPolymarket historical data and price history
Presidents Cup 2026 Winner: a standalone Polymarket sports event with 1 market and $26.8K in lifetime traded volume. All markets have resolved, each with its winning outcome stored. Marketlens records every market's order book at full depth, coverage running since September 28, 2026 through September 28, 2026.
Data as of 2026-09-28
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="Presidents Cup 2026 Winner", 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 "Presidents Cup 2026 Winner"?
1 markets with full depth L2 order book history recorded since September 28, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Presidents Cup 2026 Winner" traded on Polymarket?
$26.8K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Presidents Cup 2026 Winner" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Presidents Cup 2026 Winner", 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 the last 7 days and Pro the full archive.
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 2M data rows and the last 7 days of every market, no card required.
$ pip install marketlens