Brazil Presidential Election First Round: Margin of Victory
A standalone Polymarket politics event with 11 markets and $382.7K in lifetime traded volume. 11 markets are trading. Marketlens records every market's order book at full depth, coverage running since August 28, 2026.
Data as of 2026-09-04
Top 5 of 11 markets
Will Luiz Inácio Lula da Silva win the first round of the 2026 Brazilian presidential election by 5–10%?
closes 2026-10-04 · volume $27.6K · last price 43.5%
Will Luiz Inácio Lula da Silva win the first round of the 2026 Brazilian presidential election by less than 5%?
closes 2026-10-04 · volume $34.2K · last price 42.5%
Will Luiz Inácio Lula da Silva win the first round of the 2026 Brazilian presidential election by 10–15%?
closes 2026-10-04 · volume $31.4K · last price 5.1%
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Brazil Presidential Election First Round: Margin of Victory", 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 "Brazil Presidential Election First Round: Margin of Victory"?
11 markets with full depth L2 order book history recorded since August 28, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Brazil Presidential Election First Round: Margin of Victory" traded on Polymarket?
$382.7K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Brazil Presidential Election First Round: Margin of Victory" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Brazil Presidential Election First Round: Margin of Victory", list the event's markets, then pull each market's order book history. Bulk Parquet exports cover full markets for offline work, and the free tier includes 25M rows per day.
Related events: Democratic Presidential Nominee 2028, Presidential Election Winner 2028, Republican Presidential Nominee 2028, or the full event list.
Try it
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$ pip install marketlens