TradeHouse
prediction-market data & toolsDatasets
Bulk historical prediction-market data from Kalshi, Polymarket and Limitless, delivered as files your team can load into a notebook or warehouse. For per-request history use the Data Platform API.
License datasets, contact sales Try the API freeHow you get it
| Option | Price | |
|---|---|---|
| Kalshi slice: every trade for the series/dates you name | $49 one-time | Buy |
| Kalshi history: monthly full-history file, up to 10 series | $99/mo | Subscribe |
| Free sample: 2,000 real Kalshi order-book snapshots | $0 | Download |
| Bulk multi-venue licensing | Contact sales |
Delivered by email within 1 business day as CSV and Parquet. Source: Kalshi's public trade API, cleaned by TradeHouse (deduplicated, typed, UTC timestamps, one row per trade).
Guides (26)
- Kalshi historical data
- Prediction market backtest
- TickVault vs scraping Kalshi yourself
- Prediction-market history: where to get it
- Polygon-style tick data for prediction markets
- How to get kalshi historical data?
- What is historical data?
- Does kalshi have historical data?
- Dataset storage estimator
- Kalshi order book history
- Polymarket and Kalshi historical data
- Prediction market datasets
- Kalshi historical price data
- Kalshi historical API
- Kalshi sports market history
- Does Kalshi provide historical data?
- Polymarket historical data
- Prediction market tick data
- Order book replay for prediction markets
- Prediction market data in Parquet
- Tick data backtesting
- Download prediction market data
- Limitless market history
- Kalshi data in Snowflake
- A Polygon.io-style data source for prediction markets
- How to backtest prediction market strategies
Other TradeHouse products
Data Platform (API + MCP) Live · Fidelity Lab Live · FlowAlerts Beta · TickVault Paused
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Data and research only. Not investment advice. TradeHouse serves impersonal, aggregate market data and research tooling. Nothing here is a recommendation, an offer or a solicitation to buy or sell any security or contract. Past or simulated results do not predict future results.