Michigan Senate Election Winner

A standalone Polymarket politics event with 13 markets and $435.8K in lifetime traded volume. 2 markets are trading. Marketlens records every market's order book at full depth, coverage running since August 15, 2026.

Data as of 2026-08-16

Markets
13
Resolved
0
Traded volume
$435.8K
Collected since
2026-08-15

Top 2 markets by volume

Will the Democrats win the Michigan Senate race in 2026?

closes null · volume $226.4K · last price 55.0%

Will the Republicans win the Michigan Senate race in 2026?

closes null · volume $209.4K · last price 46.0%

Query this event

python
from marketlens import MarketLens client = MarketLens() [event] = client.events.list(q="Michigan Senate Election 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 "Michigan Senate Election Winner"?

13 markets with full depth L2 order book history recorded since August 15, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.

How much has "Michigan Senate Election Winner" traded on Polymarket?

$435.8K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.

How do I download "Michigan Senate Election Winner" data?

Query it through the REST API or the Python SDK (pip install marketlens): search events for "Michigan Senate Election 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 5M 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

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bash
$ pip install marketlens