Recording 4 venues
pm:2026-opendoor-pickleball-world-championships-winner-mixed-doublesPolymarketSports15 open on Nov 1

2026 Opendoor Pickleball World Championships: Winner (Mixed Doubles) historical data

 

Price history on Polymarket: 15 markets, order books, trades and on-chain fills, as daily Parquet files.

Example market: Will Ben Johns / Anna Leigh Waters win the 2026 Opendoor Pickleball World Championships (Mixed Doubles) tournament?

264.3 thousand rows15 markets7 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.
10 columns
  • ts_recvtimestamp[ns, UTC]
  • ts_venuetimestamp[ns, UTC]
  • tickerstring
  • seriesstring
  • is_snapshotbool
  • sidestring
  • pricefloat64
  • sizefloat64
  • tick_sizefloat64
  • hashstring
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", "2026-10-31", "2026-10-31", series="pm:2026-opendoor-pickleball-world-championships-winner-mixed-doubles")

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