What will Trump say during remarks in North Carolina?Polymarket historical data and price history
What will Trump say during remarks in North Carolina: a standalone Polymarket other event with 20 markets and $46.2K 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 16, 2026.
Data as of 2026-09-17
Top 5 of 20 markets
Will Trump say "AI" or "Artificial Intelligence" during his remarks in North Carolina?
closed 2026-09-17 · volume $6.0K · resolved No
Will Trump say "Hell" 10+ times during his remarks in North Carolina?
closed 2026-09-17 · volume $683 · resolved No
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="What will Trump say during remarks in North Carolina", 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 in North Carolina"?
20 markets with full depth L2 order book history recorded since September 16, 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 in North Carolina" traded on Polymarket?
$46.2K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "What will Trump say during remarks in North Carolina" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "What will Trump say during remarks in North Carolina", list the event's markets, then pull each market's order book history. Bulk Parquet exports cover full markets for offline work, and the free tier includes 1M rows per day.
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$ pip install marketlens