Insights

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.