Tesla and SpaceX merger officially announced by...?
A standalone Polymarket other event with 6 markets and $467.1K in lifetime traded volume. 6 markets are trading. Marketlens records every market's order book at full depth, coverage running since August 15, 2026.
Data as of 2026-08-16
Top 5 markets by volume
Tesla and SpaceX merger officially announced by September 30?
closes 2026-09-30 · volume $328.2K · last price 6.6%
Tesla and SpaceX merger officially announced by December 31?
closes 2026-12-31 · volume $129.1K · last price 18.5%
Tesla and SpaceX merger officially announced by December 31, 2027?
closes 2027-12-31 · volume $4.9K · last price 54.5%
Tesla and SpaceX merger officially announced by June 30, 2027?
closes 2027-06-30 · volume $3.1K · last price 32.0%
Tesla and SpaceX merger officially announced by January 31, 2027?
closes 2027-01-31 · volume $1.2K · last price 21.5%
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Tesla and SpaceX merger officially announced by...", 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="2026-08-16T12:00:00Z")
print(book.midpoint, book.bid_depth, book.ask_depth)Common questions
What data does Marketlens have for "Tesla and SpaceX merger officially announced by..."?
6 markets with full depth L2 order book history recorded since August 15, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Tesla and SpaceX merger officially announced by..." traded on Polymarket?
$467.1K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Tesla and SpaceX merger officially announced by..." data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Tesla and SpaceX merger officially announced by...", list the event's markets, then pull each market's order book history. Bulk Parquet exports cover full markets for offline work, and the free tier includes 5M rows per day.
Related events: Will GameStop acquire eBay?, Iran full airspace closure by...?, Top Spotify Artist 2026, or the full event list.
Try it
Pull this event's books in one call
The free tier includes 5M rows per day with full API and full archive access, no card required.
$ pip install marketlens