Mykhailo Fedorov reinstated as Ukrainian Defense Minister by...?
A standalone Polymarket other event with 1 market and $136.8K in lifetime traded volume. 1 markets are trading. Marketlens records every market's order book at full depth, coverage running since August 20, 2026.
Data as of 2026-08-24
The market in this event
Mykhailo Fedorov reinstated as Ukrainian Defense Minister by August 31, 2026?
closes 2026-08-31 · volume $136.8K · last price 0.45%
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Mykhailo Fedorov reinstated as Ukrainian Defense Minister 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 "Mykhailo Fedorov reinstated as Ukrainian Defense Minister by..."?
1 markets with full depth L2 order book history recorded since August 20, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Mykhailo Fedorov reinstated as Ukrainian Defense Minister by..." traded on Polymarket?
$136.8K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Mykhailo Fedorov reinstated as Ukrainian Defense Minister by..." data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Mykhailo Fedorov reinstated as Ukrainian Defense Minister 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: Will GameStop acquire eBay?, Iran full airspace closure by...?, Top Spotify Artist 2026, 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