Next Chairman of the Council of Ministers of Bosnia and Herzegovina?
A standalone Polymarket politics event with 59 markets and $109.4K in lifetime traded volume. 18 markets are trading. Marketlens records every market's order book at full depth, coverage running since August 30, 2026.
Data as of 2026-09-04
Top 5 of 59 markets
Will Denis Zvizdić be the next Chairman of the Council of Ministers of Bosnia and Herzegovina?
closes 2027-12-31 · volume $7.7K · last price 12.4%
Will Elmedin Konaković be the next Chairman of the Council of Ministers of Bosnia and Herzegovina?
closes 2027-12-31 · volume $33.9K · last price 10.0%
Will Nermin Nikšić be the next Chairman of the Council of Ministers of Bosnia and Herzegovina?
closes 2027-12-31 · volume $32.9K · last price 6.5%
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Next Chairman of the Council of Ministers of Bosnia and Herzegovina", 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 "Next Chairman of the Council of Ministers of Bosnia and Herzegovina"?
59 markets with full depth L2 order book history recorded since August 30, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Next Chairman of the Council of Ministers of Bosnia and Herzegovina" traded on Polymarket?
$109.4K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Next Chairman of the Council of Ministers of Bosnia and Herzegovina" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Next Chairman of the Council of Ministers of Bosnia and Herzegovina", 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