Florida Democratic Senate Primary Winner
A standalone Polymarket politics event with 20 markets and $217.7K in lifetime traded volume. 8 markets are trading. Marketlens records every market's order book at full depth, coverage running since August 18, 2026.
Data as of 2026-08-24
Top 5 markets by volume
Will Alexander Vindman be the Democratic nominee for Senate in Florida?
closes 2026-08-18 · volume $75.5K · last price 93.0%
Will Jared Moskowitz be the Democratic nominee for Senate in Florida?
closes 2026-08-18 · volume $53.0K · last price 0.05%
Will Jennifer Jenkins be the Democratic nominee for Senate in Florida?
closes 2026-08-18 · volume $36.7K · last price 0.05%
Will Angie Nixon be the Democratic nominee for Senate in Florida?
closes 2026-08-18 · volume $35.5K · last price 3.5%
Will Josh Weil be the Democratic nominee for Senate in Florida?
closes 2026-08-18 · volume $6.7K · last price 0.05%
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Florida Democratic Senate 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 "Florida Democratic Senate Primary Winner"?
20 markets with full depth L2 order book history recorded since August 18, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Florida Democratic Senate Primary Winner" traded on Polymarket?
$217.7K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Florida Democratic Senate Primary Winner" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Florida Democratic Senate 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 25M 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 25M rows per day with full API and full archive access, no card required.
$ pip install marketlens