Sachsen-Anhalt Parliamentary Election: CDU Vote Share?
A standalone Polymarket politics event with 4 markets and $34.1K in lifetime traded volume. 4 markets are trading. Marketlens records every market's order book at full depth, coverage running since September 3, 2026.
Data as of 2026-09-04
Markets in this event
Will CDU win between 20% and 23% of all valid second votes?
closes 2026-09-06 · volume $7.4K · last price 47.0%
Will CDU win between 23% and 26% of all valid second votes?
closes 2026-09-06 · volume $12.1K · last price 32.5%
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Sachsen-Anhalt Parliamentary Election: CDU 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 "Sachsen-Anhalt Parliamentary Election: CDU Vote Share"?
4 markets with full depth L2 order book history recorded since September 3, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Sachsen-Anhalt Parliamentary Election: CDU Vote Share" traded on Polymarket?
$34.1K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Sachsen-Anhalt Parliamentary Election: CDU Vote Share" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Sachsen-Anhalt Parliamentary Election: CDU Vote Share", list the event's markets, then pull each market's order book history. Bulk Parquet exports cover full markets for offline work, and the free tier includes 25M rows per day.
Related events: Democratic Presidential Nominee 2028, Presidential Election Winner 2028, Republican Presidential Nominee 2028, or the full event list.
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$ pip install marketlens