VMA Best Dance 2026Polymarket historical data and price history
VMA Best Dance 2026: a standalone Polymarket other event with 34 markets and $29.5K in lifetime traded volume. 7 markets are trading. Marketlens records every market's order book at full depth, coverage running since September 24, 2026.
Data as of 2026-09-25
Top 5 of 34 markets
Will “Stateside + Zara Larsson” by PinkPantheress win Best Dance at the 2026 MTV Video Music Awards?
closes 2026-09-28 · volume $25.6K · last price 45.0%
Will “Confessions II – The Film” by Madonna win Best Dance at the 2026 MTV Video Music Awards?
closes 2026-09-28 · volume $1.7K · last price 31.0%
Will “Runway” by Lady Gaga and Doechii win Best Dance at the 2026 MTV Video Music Awards?
closes 2026-09-28 · volume $404 · last price 10.3%
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="VMA Best Dance 2026", 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 "VMA Best Dance 2026"?
34 markets with full depth L2 order book history recorded since September 24, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "VMA Best Dance 2026" traded on Polymarket?
$29.5K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "VMA Best Dance 2026" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "VMA Best Dance 2026", 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 1M rows per day.
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Pull this event's books in one call
The free tier includes 1M rows per day with full API and full archive access, no card required.
$ pip install marketlens