North Carolina Senate Election Margin of VictoryPolymarket historical data and price history
North Carolina Senate Election Margin of Victory: a standalone Polymarket politics event with 10 markets and $54.8K in lifetime traded volume. 10 markets are trading. Marketlens records every market's order book at full depth, coverage running since October 24, 2026.
Data as of 2026-10-26
Top 5 of 10 markets
Will the Democratic Party candidate win the 2026 North Carolina Senate election by 18% or more?
closes 2026-11-04 · volume $14.4K · last price 26.8%
Will the Democratic Party candidate win the 2026 North Carolina Senate election by 12%-15%?
closes 2026-11-04 · volume $6.9K · last price 21.3%
Will the Democratic Party candidate win the 2026 North Carolina Senate election by 9%-12%?
closes 2026-11-04 · volume $6.9K · last price 20.0%
Query this event
from datetime import datetime, timedelta, timezone
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="North Carolina Senate Election Margin of Victory", 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 "North Carolina Senate Election Margin of Victory"?
10 markets with full depth L2 order book history recorded since October 24, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "North Carolina Senate Election Margin of Victory" traded on Polymarket?
$54.8K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "North Carolina Senate Election Margin of Victory" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "North Carolina Senate Election Margin of Victory", 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: Democratic Presidential Nominee 2028, Presidential Election Winner 2028, Republican Presidential Nominee 2028, or the full event list.
Try it
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The free tier includes 2M data rows and every market open in the last 7 days, no card required.
$ pip install marketlens