South Carolina Republican Senate Special Primary Winner
A standalone Polymarket politics event with 50 markets and $1.8M in lifetime traded volume. 15 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
Will Darline Graham Nordone be the new republican nominee for Senate in South Carolina?
closes 2026-08-11 · volume $932.9K · last price 87.1%
Will Ralph Norman be the new Republican nominee for Senate in South Carolina?
closes 2026-08-11 · volume $325.1K · last price 12.5%
Will Mark Sanford be the new republican nominee for Senate in South Carolina?
closes 2026-08-11 · volume $276.8K · last price 0.05%
Will Russell Fry be the new Republican nominee for Senate in South Carolina?
closes 2026-08-11 · volume $218.1K · last price 0.15%
Will Mark Lynch be the new Republican nominee for Senate in South Carolina?
closes 2026-08-11 · volume $26.8K · last price 0.05%
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="South Carolina Republican Senate Special Primary Winner", 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 "South Carolina Republican Senate Special Primary Winner"?
50 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 "South Carolina Republican Senate Special Primary Winner" traded on Polymarket?
$1.8M in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "South Carolina Republican Senate Special Primary Winner" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "South Carolina Republican Senate Special Primary Winner", 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: Democratic Presidential Nominee 2028, Republican Presidential Nominee 2028, Presidential Election Winner 2028, 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