Kalshi Women's FIBA Spread Historical Data
Every Kalshi “Women's FIBA Spread” contract of the day — every trade print and the complete Level-2 book, captured co-located with nanosecond venue and receive timestamps. 11 trading days as day bundles, €1 per day, bought as a guest with instant download.
Women's FIBA Spread on Kalshi — activity
Per-day trade and turnover statistics exist from July 2026 onward — a limit of the statistics, not of the capture: older days are archived in full (every contract, every message) without a statistics row.
One purchase, the whole series for a day
A series-day bundle contains every Women's FIBA Spread contract that was listed on Kalshi on that UTC day — traded or not — 16 contract files on the latest covered day. Each file carries the full raw feed: every trade print with price, size and side, plus Level-2 order-book updates, in the same zstd-compressed schema as our crypto venues. Event contracts quote 0..1; turnover is USD-normalized.
Coverage runs September 2026 — 11 trading days, 339 MB compressed in total. A day typically holds 52 contract files (up to 103 on the busiest day, 76.9 MB). Pick individual days in the shop calendar for €1 each; delivery is an instant per-file download or one archive for the whole day.
Women's FIBA Spread — last 11 days in the archive
Files, size, contracts traded, trades, USD turnover, buy share, quoted spread, top-of-book depth and order-book updates per UTC day, from the recorded tick data.
| UTC day | Files | Size | Notes | |
|---|---|---|---|---|
| 2026-09-13 | 16 | 22.7 MB | Buy day → | |
| 2026-09-12 | 21 | 18.3 MB | Buy day → | |
| 2026-09-11 | 16 | 5.03 MB | Buy day → | |
| 2026-09-10 | 38 | 29.9 MB | Buy day → | |
| 2026-09-09 | 46 | 13.7 MB | Buy day → | |
| 2026-09-08 | 32 | 14.9 MB | Buy day → | |
| 2026-09-07 | 69 | 73.7 MB | Buy day → | |
| 2026-09-06 | 96 | 45.1 MB | Buy day → | |
| 2026-09-05 | 64 | 38.8 MB | Buy day → | |
| 2026-09-04 | 103 | 76.9 MB | Buy day → | |
| 2026-09-03 | 71 | 137 KB | Buy day → |
Trades and turnover per day appear here once our daily statistics have captured this series — normally the morning UTC after a day closes.
Latest Women's FIBA Spread contracts
The 16 largest Women's FIBA Spread contract files recorded on 2026-09-13— every contract of the series is inside that day's bundle; single contracts can also be bought as individual day files. Per-contract trades, turnover and prices appear here once the daily statistics have captured this series.
- KXWFIBASPREAD-26SEP131030GERESP-ESP7 9.09 MB buy file →
- KXWFIBASPREAD-26SEP131400FRAUSA-USA7 8.44 MB buy file →
- KXWFIBASPREAD-26SEP131030GERESP-ESP11 816 KB buy file →
- KXWFIBASPREAD-26SEP131400FRAUSA-USA3 801 KB buy file →
- KXWFIBASPREAD-26SEP131030GERESP-ESP15 574 KB buy file →
- KXWFIBASPREAD-26SEP131030GERESP-ESP3 446 KB buy file →
- KXWFIBASPREAD-26SEP131400FRAUSA-USA15 436 KB buy file →
- KXWFIBASPREAD-26SEP131400FRAUSA-USA11 331 KB buy file →
- KXWFIBASPREAD-26SEP131400FRAUSA-FRA15 308 KB buy file →
- KXWFIBASPREAD-26SEP131030GERESP-GER3 270 KB buy file →
- KXWFIBASPREAD-26SEP131400FRAUSA-FRA11 260 KB buy file →
- KXWFIBASPREAD-26SEP131030GERESP-GER15 250 KB buy file →
- KXWFIBASPREAD-26SEP131400FRAUSA-FRA7 223 KB buy file →
- KXWFIBASPREAD-26SEP131400FRAUSA-FRA3 211 KB buy file →
- KXWFIBASPREAD-26SEP131030GERESP-GER11 199 KB buy file →
- KXWFIBASPREAD-26SEP131030GERESP-GER7 157 KB buy file →
Build a Women's FIBA Spread model on this data
Every settled Women's FIBA Spread contract is a labelled example: the winner, the line or the total that cleared is the label, and the day bundle holds each contract's full order-book path and trade tape, nanosecond-stamped, from the first quote days before the event to the last print — the features for that label. The statistics on this page cover the most traded contracts per day; the bundle holds every contract listed on Kalshi that day.
Split by season and match day, never at random — the contracts of one slate share injuries, weather and the same public money, and a random split leaks the slate's results into training; walk forward over game days and purge the days whose contracts were still open. The sports-model guide works the closing-line benchmark, the pre-game line path and that split through.
Purchased data is for your own use — backtesting, research, analytics and training your own models, in-house or in your own products; the trained models and derived data you build from it are yours. The raw files and tick streams themselves may not be redistributed, resold or published. The full terms are on the data license page.
Why buy Kalshi Women's FIBA Spread data here
Four things every page on this site is built on — and the reason the numbers above exist at all.
We record everything
The complete public feed of each venue as it was published: every Level-2 snapshot and update at the venue's full book depth, every trade with its aggressor side, every quote, funding, mark-price and liquidation event — for every instrument the venue lists, every UTC day since we added the venue. Nothing sampled, no top-N cut, no on-demand capture.
Institutional grade
Captured co-located at the venue with the exchange timestamp and our receive timestamp in integer nanoseconds, an event-id chain that makes any gap visible, and one normalized schema across 35+ venues — the same capture our own high-frequency trading engine and enterprise feeds run on.
€1 per instrument-day
Any instrument-day is €1, series-day bundles start at €1 — no subscription, no minimum order, no tiers to unlock. Credit packs lower the effective price and never expire, and every venue has free full-day samples to test against first.
Self-service for everyone
Pick the days in the Data Shop, pay by card as a guest and download immediately — no sales call, no enterprise contract, no KYC. Coding agents buy the same files through the MCP server, and the free Agent Skill teaches them the format.
Agents: /llms.txt · MCP server /mcp · every page as markdown via Accept: text/markdown
Kalshi Women's FIBA Spread data — FAQ
What Kalshi Women's FIBA Spread data can I download?
Tick-by-tick trades and Level-2 order-book depth for every contract of the Women's FIBA Spread series on Kalshi (16 contract files on the latest day). One bundle = one UTC day of the whole series.
What is the Kalshi series ticker for Women's FIBA Spread?
KXWFIBASPREAD — every contract of the series carries this prefix in its ticker (followed by the event date and strike). Files in a day bundle are named by the full contract ticker, so a bundle holds every KXWFIBASPREAD-* contract listed that UTC day.
How far back does the Women's FIBA Spread data go?
Coverage runs September 2026 — 11 trading days in total.
What format are the Kalshi files in?
One zstd-compressed text file per contract per UTC day, in the same normalized schema as our crypto venues — see the market-data specification; free samples on the downloads page.
Can I get Kalshi Women's FIBA Spread data as CSV or Parquet?
Yes — trades export as gzipped CSV or Parquet at no extra cost, with integer microsecond UTC timestamps that load straight into pandas, polars or DuckDB. Kalshi records full order-book depth without a separate BBO stream, so book data ships in the native tick file — the free reader script converts it locally. See the formats overview.
How much does Kalshi Women's FIBA Spread historical data cost?
€1 per series-day bundle — every contract of the series for that day — no subscription, no minimum order; buy as a guest in the Data Shop and download immediately. Credit packs lower the effective price and never expire.
Do I need an account or a sales call?
No. Pick the Women's FIBA Spread series-days in the Data Shop, pay by card as a guest and download immediately — no subscription, no minimum order, no KYC, no enterprise contract, no sales call. Coding agents buy the same bundles through the MCP server.
How is the Kalshi Women's FIBA Spread data captured?
Co-located at the venue, message by message: every Level-2 update and every trade print carries the exchange timestamp and our receive timestamp in integer nanoseconds, an event-id chain makes any gap visible, and one normalized schema across 35+ venues means a parser written for Binance reads these files unchanged. It is the same capture our own high-frequency trading engine runs on — nothing sampled, no top-N cut.