CA-14 Special Election Winner?

A standalone Polymarket politics event with 34 markets and $69.1K 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 August 19, 2026.

Data as of 2026-08-24

Markets
34
Resolved
34
Traded volume
$69.1K
Collected since
2026-08-19

Top 5 markets by volume

Will Aisha Wahab win the CA-14 special election?

closed 2026-08-21 · volume $36.7K · resolved Yes

Will Melissa Hernandez win the CA-14 special election?

closed 2026-08-21 · volume $14.7K · resolved No

Will Carin Elam win the CA-14 special election?

closed 2026-08-21 · volume $5.0K · resolved No

Will Victor Aguilar Jr. win the CA-14 special election?

closed 2026-08-21 · volume $4.1K · resolved No

Will Matt Ortega win the CA-14 special election?

closed 2026-08-21 · volume $4.0K · resolved No

Query this event

python
from marketlens import MarketLens client = MarketLens() [event] = client.events.list(q="CA-14 Special 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 "CA-14 Special Election Winner"?

34 markets with full depth L2 order book history recorded since August 19, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.

How much has "CA-14 Special Election Winner" traded on Polymarket?

$69.1K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.

How do I download "CA-14 Special Election Winner" data?

Query it through the REST API or the Python SDK (pip install marketlens): search events for "CA-14 Special 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 25M 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

The free tier includes 25M rows per day with full API and full archive access, no card required.

bash
$ pip install marketlens