Intercontinental Exchange (ICE) has launched a fixed income pre-trade analytics platform, ICE Compass, which the company says uses artificial intelligence to rank trading counterparties and estimate prices before a trade is executed.
The platform allows buy-side firms to combine their own trading data with ICE’s market data, pricing streams, and the bids, offers and indications of interest they receive from counterparties each day. According to ICE, the model tracks intraday market movements, trading costs and counterparty behaviour to generate estimates intended to support counterparty selection and pre-trade cost analysis. The company says the model improves as additional trading data is incorporated over time.
T. Rowe Price, which ICE said provided feedback during development and beta testing, has signed on as an anchor client.
Dwayne Middleton, global head of fixed income trading at T. Rowe Price, said the firm’s collaboration with ICE on Compass supports its move toward “a more transparent, data-driven, and scalable trading model.”
ICE Compass is built on the company’s existing data assets, including its Continuous Evaluated Pricing service, fixed income liquidity metrics and indices. The platform covers corporate and sovereign bonds globally, according to ICE.
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Varun Pawar, chief product officer for data services at ICE, said buy-side firms were receiving growing volumes of pre-trade data that had become difficult to use effectively, and that pooling data across firms, counterparties and ICE’s own data warehouse was intended to address that problem.
Chris Edmonds, president of ICE’s fixed income and data services division, described the launch as building on the company’s broader fixed income platform.
ICE said it provides evaluated pricing on approximately three million fixed income instruments and has around $2 trillion in assets under management benchmarked to its indices.
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