Recording 4 venues
pm:next-brazilian-minister-of-financePolymarketPolitics10 open on Nov 2

Next Brazilian Minister of Finance? historical data

 

Next Brazilian Minister of Finance? price history on Polymarket: 10 markets, order books, trades and on-chain fills, as daily Parquet files.

Example market: Will Paulo Guedes be the next Brazilian Minister of Finance?

1.8 million rows10 markets53 MB4 datasets, full order book includedUpdated daily

Datasets

One file per dataset per UTC day. Data dictionary · Hourly coverage

DatasetWhat it holdsPlanSample
Polymarket order book
polymarket_l2
Every Polymarket CLOB snapshot and price-level change, for both outcome tokens of every market.
9 columns
  • ts_recvtimestamp[ns, UTC]
  • ts_venuetimestamp[ns, UTC]
  • tickerstring
  • seriesstring
  • is_snapshotbool
  • sidestring
  • pricefloat64
  • sizefloat64
  • tick_sizefloat64
Full bookSampleParquet·CSV
Polymarket trades
polymarket_trades
Every Polymarket CLOB trade: outcome price, size, taker side, fee, and transaction hash.
9 columns
  • ts_recvtimestamp[ns, UTC]
  • ts_venuetimestamp[ns, UTC]
  • tickerstring
  • seriesstring
  • pricefloat64
  • sizefloat64
  • sidestring
  • fee_rate_bpsfloat64
  • transaction_hashstring
ResearchSampleParquet·CSV
Polymarket on-chain fills
polymarket_fills
Every OrderFilled log from the Polymarket exchange contracts on Polygon.
19 columns
  • ts_recvtimestamp[ns, UTC]
  • ts_venuetimestamp[ns, UTC]
  • tickerstring
  • seriesstring
  • exchangestring
  • order_hashstring
  • makerstring
  • takerstring
  • sidestring
  • pricefloat64
  • sizefloat64
  • fee_usdcfloat64
  • maker_amountstring
  • taker_amountstring
  • feestring
  • is_summarybool
  • transaction_hashstring
  • block_numberint64
  • log_indexint64
ResearchSampleParquet·CSV
Polymarket markets
polymarket_markets
Every Polymarket market with order book or trade data in the day: question, outcomes, tick size, and end time.
9 columns
  • ts_recvtimestamp[ns, UTC]
  • tickerstring
  • slugstring
  • questionstring
  • outcomesstring
  • tick_sizefloat64
  • neg_riskbool
  • end_tstimestamp[ns, UTC]
  • accepting_ordersbool
ExplorerSampleParquet·CSV
# pip install "kalshieye[pandas]"
from kalshieye import Client

kx = Client()  # reads KALSHIEYE_API_KEY
df = kx.load("polymarket_l2", "2026-11-01", "2026-11-01", series="pm:next-brazilian-minister-of-finance")

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