Singapore Grand Prix: Driver Fastest LapPolymarket historical data and price history
Singapore Grand Prix: Driver Fastest Lap: a standalone Polymarket sports event with 29 markets and $35.4K in lifetime traded volume. 20 markets have resolved and 4 are still trading. Marketlens records every market's order book at full depth, coverage running since October 11, 2026.
Data as of 2026-10-12
Top 5 of 29 markets
Will Lando Norris achieve the fastest lap at the 2026 F1 Singapore Grand Prix?
closes 2026-10-18 · volume $586 · last price <1%
Will Sergio Perez achieve the fastest lap at the 2026 F1 Singapore Grand Prix?
closes 2026-10-18 · volume $348 · last price <1%
Will Oliver Bearman achieve the fastest lap at the 2026 F1 Singapore Grand Prix?
closes 2026-10-18 · volume $98 · last price <1%
Query this event
from datetime import datetime, timedelta, timezone
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Singapore Grand Prix: Driver Fastest Lap", 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 "Singapore Grand Prix: Driver Fastest Lap"?
29 markets with full depth L2 order book history recorded since October 11, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Singapore Grand Prix: Driver Fastest Lap" traded on Polymarket?
$35.4K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Singapore Grand Prix: Driver Fastest Lap" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Singapore Grand Prix: Driver Fastest Lap", 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