Berlin State Election: Grüne Vote Share?Polymarket historical data and price history

Berlin State Election: Grüne Vote Share: a standalone Polymarket politics event with 4 markets and $75.7K 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 22, 2026.

Data as of 2026-09-25

Markets
4
Resolved
4
Traded volume
$75.7K
Avg volume / market
$18.9K
Cadence
standalone
Coverage from
2026-09-21
Data through
2026-09-22
Category
Politics

Markets in this event

Will Grüne win between 14% and 17% of all valid second votes?

closed 2026-09-22 · volume $27.8K · resolved Yes

Will Grüne win less than 14% of all valid second votes?

closed 2026-09-22 · volume $30.3K · resolved No

Will Grüne win between 17% and 20% of all valid second votes?

closed 2026-09-21 · volume $13.9K · resolved No

Will Grüne win at least 20% of all valid second votes?

closed 2026-09-21 · volume $3.7K · resolved No

Query this event

python
from marketlens import MarketLens client = MarketLens() [event] = client.events.list(q="Berlin State Election: Grüne Vote Share", 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: Grüne Vote Share"?

4 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: Grüne Vote Share" traded on Polymarket?

$75.7K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.

How do I download "Berlin State Election: Grüne Vote Share" data?

Query it through the REST API or the Python SDK (pip install marketlens): search events for "Berlin State Election: Grüne Vote Share", 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

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bash
$ pip install marketlens