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


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


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.


  • 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. ​


  • 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.




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