Secret Harbour State By-Election Winner
A standalone Polymarket politics event with 30 markets and $163.0K 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 August 28, 2026.
Data as of 2026-09-04
Top 3 of 30 markets
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Secret Harbour State By-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 "Secret Harbour State By-Election Winner"?
30 markets with full depth L2 order book history recorded since August 28, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Secret Harbour State By-Election Winner" traded on Polymarket?
$163.0K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Secret Harbour State By-Election Winner" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Secret Harbour State By-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, 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 25M rows per day with full API and full archive access, no card required.
$ pip install marketlens