What will Trump say during remarks at NASA?
A standalone Polymarket other event with 19 markets and $21.0K in lifetime traded volume. 19 markets are trading. Marketlens records every market's order book at full depth, coverage running since August 25, 2026.
Data as of 2026-08-27
Top 5 of 19 markets
Will Trump say "Far Side" during remarks at NASA?
closes 2026-08-28 · volume $310 · last price 57.5%
Will Trump say "China" or "Chinese" during remarks at NASA?
closes 2026-08-28 · volume $1.0K · last price 58.0%
Will Trump say "Century" during remarks at NASA?
closes 2026-08-28 · volume $322 · last price 58.5%
Will Trump say "Smart" during remarks at NASA?
closes 2026-08-28 · volume $755 · last price 68.0%
Will Trump say "Russia" or "Russian" during remarks at NASA?
closes 2026-08-28 · volume $1.3K · last price 31.5%
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="What will Trump say during remarks at NASA", 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 "What will Trump say during remarks at NASA"?
19 markets with full depth L2 order book history recorded since August 25, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "What will Trump say during remarks at NASA" traded on Polymarket?
$21.0K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "What will Trump say during remarks at NASA" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "What will Trump say during remarks at NASA", list the event's markets, then pull each market's order book history. Bulk Parquet exports cover full markets for offline work, and the free tier includes 25M rows per day.
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Try it
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$ pip install marketlens