An asset management company uses Aicadium’s recommendation engine to automate trade executions
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.
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.
Recommendations that are generated for portfolio managers increase profitability for the company and drives huge efficiencies by automating trade executions in the long run.