Kalshi Eye

Kalshi Eye

Historical Kalshi order books, ready for backtesting.

Explore historical bid/ask prices and full-depth order book data across Kalshi markets. Research market behavior, analyze liquidity, and download the data without building your own collection infrastructure.

Explore Market DataView API DocumentationCreate Free Account
KXBTC15M-26OCT091745-45BTC price up in next 15 mins?
Full book sample
Historical YES best bid and ask
Hover or focus the chart for bid/ask

Coverage Oct 9, 2026, 21:31 – 21:44 UTC · 376,754 L2 prints

YES depthsize at price
0.424.8k
0.412.1k
0.40854
Sample Full book L2 rows from the recorded tape
Time (UTC)TypeDetail
21:31:05Book0.42×4.8k · 0.41×2.1k · 0.40×854
21:31:05UpdateNO 0.56 · +800
21:35:10Book0.37×2.1k · 0.36×2.3k · 0.35×727
21:37:14UpdateNO 0.27 · 1
21:39:43Book0.24×4.0k · 0.23×875 · 0.22×875

What we record

Kalshi Eye stores historical market tape for research — not a live trading venue. Indexed catalog size is not the same as markets with recorded order-book history. Gaps can exist where collection was interrupted or a market was never on the recorder.

Full book sample
KXBTC15M-26OCT091745-45
Sample coverage
Oct 9, 2026, 21:31 – 21:44 UTC
Top-of-book path
25 YES bid/ask points for the chart
L2 tape in this window
376,754 prints — full-depth books and updates
  • Politics
  • Sports
  • Weather
  • Economics
  • Crypto
  • Tech
  • Entertainment
  • World

Categories reflect the exchange catalog we index. Historical order-book availability varies by market and recording window.

View Sample Data

Built for serious prediction market research.

Three ways teams use recorded Kalshi tape — without running their own collector.

  • Backtest trading strategiesEvaluate hypotheses against recorded bid/ask movement, spreads, and available depth. Historical books describe what the market showed — not a guaranteed fill simulator.
  • Analyze market microstructureInspect top-of-book history and, where recorded, full-depth L2 changes — liquidity, spreads, and how the book evolved through the window.
  • Build with historical dataPull files as CSV, Parquet, or JSON, or call the research API from your own stack — pandas, DuckDB, or a custom backtester.

Data layers

Each layer is sized for a job. Snapshots are sampled top-of-book; L2 is the recorded book stream.

  • Top-of-book historyDownsampled best bid and best ask over a window (step_ms). Built for charts and research — not event-by-event exchange messages.
  • Full-depth order bookHistorical L2 anchors and updates when the market was on the recorder. Use this for depth and microstructure work; Full book plan required for L2 exports.
  • Market metadata and outcomesTitles, strikes, open/close times, status, and settlement results alongside the tape when available in the catalog.

Your data. Your workflow.

Browse the archive in the app, download files, or call documented endpoints.

  1. BrowseSearch series and markets, open previews, inspect recorded windows.
  2. DownloadExport snapshots or L2 as CSV, Parquet, or JSON.
  3. APIAuthenticate with a bearer key and pull preview, snapshots, or exports.
Read API DocsExport formats
Production API
curl "https://kalshieye.com/api/v1/markets/KXBTC15M-26OCT091745-45/preview" \
  -H "Authorization: Bearer YOUR_API_KEY"

curl "https://kalshieye.com/api/v1/search?q=bitcoin&limit=20" \
  -H "Authorization: Bearer YOUR_API_KEY"

Full book is the complete tape

The sample above is Full book territory — depth ladders and every L2 update, not just best bid/ask. Start free on Explorer to browse; upgrade when you need exports.

  • Full bookL2 depth exports — the product shown in the sample
  • ResearchTop-of-book history exports
  • Explorer$0 — browse + previews + 1 event export
Get Started with Kalshi EyeExplore Market Data

Trust and transparency

Kalshi Eye is an independent historical data platform and is not affiliated with Kalshi. Underlying quotes and books originate from Kalshi market data we record.

We record Kalshi market tape into object storage and serve research windows, previews, and exports from that archive.

More detail: data layers · authentication · preview API

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