Berlin State Election: 3rd PlacePolymarket historical data and price history
Berlin State Election: 3rd Place: a standalone Polymarket politics event with 18 markets and $74.0K 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 21, 2026 through September 21, 2026.
Data as of 2026-09-25
Top 2 of 18 markets
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Berlin State Election: 3rd 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="2026-08-16T12:00:00Z")
print(book.midpoint, book.bid_depth, book.ask_depth)Common questions
What data does Marketlens have for "Berlin State Election: 3rd Place"?
18 markets with full depth L2 order book history recorded since September 21, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Berlin State Election: 3rd Place" traded on Polymarket?
$74.0K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Berlin State Election: 3rd Place" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Berlin State Election: 3rd Place", 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.
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 1M rows per day with full API and full archive access, no card required.
$ pip install marketlens