Federal District Senate Election: 2nd PlacePolymarket historical data and price history
Federal District Senate Election: 2nd Place: a standalone Polymarket politics event with 40 markets and $292.8K in lifetime traded volume. 13 markets are trading. Marketlens records every market's order book at full depth, coverage running since September 30, 2026.
Data as of 2026-10-05
Top 5 of 40 markets
Will Bia Kicis win the second-most votes in the 2026 Federal District Senate election?
closes 2026-10-05 · volume $118.9K · last price 97.7%
Will Michelle Bolsonaro win the second-most votes in the 2026 Federal District Senate election?
closes 2026-10-05 · volume $45.4K · last price <1%
Will Erika Kokay win the second-most votes in the 2026 Federal District Senate election?
closes 2026-10-05 · volume $45.0K · last price <1%
Query this event
from datetime import datetime, timedelta, timezone
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Federal District Senate Election: 2nd Place", 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 "Federal District Senate Election: 2nd Place"?
40 markets with full depth L2 order book history recorded since September 30, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Federal District Senate Election: 2nd Place" traded on Polymarket?
$292.8K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Federal District Senate Election: 2nd Place" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Federal District Senate Election: 2nd Place", 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
Pull this event's books in one call
The free tier includes 2M data rows and every market open in the last 7 days, no card required.
$ pip install marketlens