Recording 4 venues
pm:coupe-de-francePolymarketSportsDaily8,004 open on Nov 9

Coupe De France odds & historical data

Coupe De France price history on Polymarket: 8,142 markets, order books, trades and on-chain fills, as daily Parquet files.

Example market: Stade Sottevillais CC vs. USF Fécamp: O/U 3.5

8.6 million rows8,142 markets227 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", "2026-11-08", "2026-11-08", series="pm:coupe-de-france")

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All Polymarket series