Serbia parliament dissolved by…?
A standalone Polymarket politics event with 2 markets and $64.5K in lifetime traded volume. 2 markets are trading. Marketlens records every market's order book at full depth, coverage running since August 18, 2026.
Data as of 2026-08-24
Markets in this event
Will the Serbian National Assembly be dissolved by August 31?
closes 2026-08-31 · volume $36.9K · last price 10.0%
Will the Serbian National Assembly be dissolved by December 31?
closes 2026-12-31 · volume $27.6K · last price 83.2%
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Serbia parliament dissolved by…", 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 "Serbia parliament dissolved by…"?
2 markets with full depth L2 order book history recorded since August 18, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Serbia parliament dissolved by…" traded on Polymarket?
$64.5K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Serbia parliament dissolved by…" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Serbia parliament dissolved by…", 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.
$ pip install marketlens