Iress’s QuantHouse division will supply its low-latency and historical market data to Quod Financial, a multi-asset trading technology provider, for use within backtesting and to improve its AI-driven trading algorithms.
The move will enable trading firms to carry out real-time transaction cost analysis at the point of execution.
In a press statement, Rob Kirby, Head of EMEA Sales and Business Development at QuantHouse, said: “QuantHouse’s high-quality, extensive historical data is now being used to train QuodFinancial’s AI/ML models to adapt to, and even anticipate market movements. Traders no longer need to adjust their TCA assumptions or trading strategies manually when unexpected market events happen. They can now analyse the cost associated with each trade, optimise trading strategies and ultimately improve trade executions right at the point where it is needed most: as part of the trade execution.”
