Institutional market-data provider BMLL is adding Kalshi’s historical prediction-market order books to its research environment, expanding the datasets available to systematic and quantitative trading firms.
The integration will standardise Kalshi data using the same format BMLL applies to CME Event Contracts, making it easier for trading firms to compare event-market information with other market data through a common research framework.
BMLL says the data is intended for use in macro research, backtesting, event-driven trading and risk-management workflows. Potential applications identified by the company include studying market behaviour around Fed decisions, inflation releases and GDP reports, as well as testing cross-asset strategies linked to major economic or policy events.
Kalshi is registered with the U.S. Commodity Futures Trading Commission as a Designated Contract Market. Rather than treating prediction-market prices as guaranteed forecasts, institutional users can use the historical data as one additional market signal alongside conventional asset prices, macro indicators and positioning data.
BMLL’s platform already covers historical order-book data across equities, ETFs, futures and options. The Kalshi integration extends that coverage into prediction markets, giving quantitative teams another dataset for strategy testing and market-structure analysis.
The move highlights the growing overlap between prediction markets and institutional trading, particularly as firms look for more direct ways to analyse event risk around monetary policy and macroeconomic releases.
