VMA Video of the Year 2026Polymarket historical data and price history
VMA Video of the Year 2026: a standalone Polymarket other event with 33 markets and $88.3K in lifetime traded volume. 6 markets are trading. Marketlens records every market's order book at full depth, coverage running since September 21, 2026.
Data as of 2026-09-25
Top 5 of 33 markets
Will “The Fate of Ophelia” by Taylor Swift win Video of the Year at the 2026 MTV Video Music Awards?
closes 2026-09-28 · volume $19.8K · last price 60.5%
Will “Hate That I Made You Love Me” by Ariana Grande win Video of the Year at the 2026 MTV Video Music Awards?
closes 2026-09-28 · volume $42.0K · last price 23.5%
Will “Confessions II – The Film” by Madonna win Video of the Year at the 2026 MTV Video Music Awards?
closes 2026-09-28 · volume $12.6K · last price 5.7%
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="VMA Video of the Year 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 Video of the Year 2026"?
33 markets with full depth L2 order book history recorded since September 21, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "VMA Video of the Year 2026" traded on Polymarket?
$88.3K 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 Video of the Year 2026" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "VMA Video of the Year 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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Try it
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