Quant Teams Get Standardized Access to Kalshi Historical Data

Quant teams now have standardized access to Kalshi’s historical prediction-market data, thanks to a strategic partnership between BMLL and Kalshi. This collaboration brings Kalshi’s data into BMLL’s standardized capital-markets environment, enabling quantitative researchers, macro funds, and systematic hedge funds to tap into Kalshi’s market data for the first time.

BMLL, an independent provider of historical Level 3, Level 2, and Level 1 data and analytics, will normalize Kalshi’s historical order book by aligning it with the same schema used for CME Event Contracts. This standardization eliminates the need for manual data collection from various APIs, a process that had previously consumed significant engineering time.

Kalshi’s contracts trade between 1¢ and 99¢, representing financially committed capital and offering well-calibrated real-world probabilities. BMLL CEO Paul Humphrey noted that their quantitative clients have shown strong demand for high-fidelity historical prediction market data to support macro-level research. The standardized feed is designed to facilitate researchers in backtesting and calibrating models around key events like Federal Reserve rate decisions, CPI releases, and GDP prints.

Potential uses include generating cross-asset alpha, hedging regulatory risk, building proprietary prediction indices, and forward curves, particularly for emerging products like Multivariate Events and Perpetual Futures. As a CFTC-regulated Designated Contract Market, Kalshi’s event-contract data will now join other peer datasets alongside CME’s, providing institutional data teams with a single pipeline to integrate prediction-market prices into their macro research stacks.