Customer stories

AI and Machine Learning Powered Financial Market Digital Twin Trader for Shanghai based International Commercial Bank

Client

A Shanghai-based commercial bank focusing on meeting private banking clients’ comprehensive financial services needs.

Challenges

Financial institutions are facing the problem of recommending stocks that cater to the investors’ trading behavior and strategies. Faced with a huge range of stocks, investors in the stock market may also be overwhelmed and daunted by the number of choices available on their plates. In order to provide a better trading experience for the investors, our client seeks our expertise in implementing AI and Machine Learning to power the financial market’s Digital Twin.

Services

Data ingestion service that collects various bond market data and economy data from different sources.
Training of machine learning model to perform market price prediction.
Training of classification model to generate buy/sell recommendation to individual traders.
Web application to allow traders to interact with the recommendations and track performance.

Benefits

Automatic buy and sell recommendations will be made to individual traders, based on market prediction as well as individual traders’ behavior.
Expandability on the recommendation, discovery of traders’ behavior, for better decision making as well as for junior traders’ references.
Recommended portfolio tracking against benchmark.