Case Study

An asset management company uses Aicadium’s recommendation engine to automate trade executions

Need

An asset management company wanted to use machine learning to provide greater intelligence to portfolio managers executing trade orders. They wanted to maximise trading profits for ETF index trackers.

Solution

The company uses Aicadium’s real-time recommender engine which learns the various trading, market, and channel parameters that impact the costs/proceeds of a trade, then recommends the timing, volume, and price to execute a given order.

Impact

Recommendations that are generated for portfolio managers increase profitability for the company and drives huge efficiencies by automating trade executions in the long run.

“Aicadium’s recommender engine provides our portfolio managers with real-time intelligence around timing, volume and price to execute a given order.”

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