Will the Tesla Roadster's 0-60 time be less than 1 second?Polymarket historical data and price history

Will the Tesla Roadster's 0-60 time be less than 1 second: a standalone Polymarket other event with 1 market and $6.5M in lifetime traded volume. 1 markets are trading. Marketlens records every market's order book at full depth, coverage running since October 16, 2026.

Data as of 2026-10-19

Markets
1
Resolved
0
Traded volume
$6.5M
Avg volume / market
$6.5M
Cadence
standalone
Coverage from
2026-10-16
Data through
now
Category
Other

The market in this event

Will the Tesla Roadster's 0-60 time be less than 1 second?

closes 2026-10-16 · volume $6.5M · last price 100.0%

Query this event

python
from datetime import datetime, timedelta, timezone from marketlens import MarketLens client = MarketLens() [event] = client.events.list(q="Will the Tesla Roadster's 0-60 time be less than 1 second", 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 the Tesla Roadster's 0-60 time be less than 1 second"?

1 markets with full depth L2 order book history recorded since October 16, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.

How much has "Will the Tesla Roadster's 0-60 time be less than 1 second" traded on Polymarket?

$6.5M 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 the Tesla Roadster's 0-60 time be less than 1 second" data?

Query it through the REST API or the Python SDK (pip install marketlens): search events for "Will the Tesla Roadster's 0-60 time be less than 1 second", 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.

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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.

bash
$ pip install marketlens