finance

Construction of AI quantitative trading platform for securities companies

Build an AI-driven quantitative trading platform for leading securities companies, integrating natural language processing and time series prediction models to achieve public opinion analysis and intelligent stock selection. The annualized return rate is 35% higher than traditional strategies.

Project background

A leading securities company hopes to use AI technology to improve its quantitative trading capabilities and upgrade the traditional factor stock selection model to an intelligent multi-strategy trading platform to cope with the challenges of increased market volatility.

Solution

Zhiyuan Technology built an AI quantitative trading platform for it. The core capabilities include:

  • NLP public opinion analysis: real-time capture of financial news, research reports, social media data, and extraction of market sentiment factors
  • Time series prediction model: stock price trend prediction based on LSTM and Attention mechanism
  • < li>Multi-factor intelligent stock selection: AI multi-factor model that integrates fundamentals, technical aspects, and sentiments
  • Risk control module: Intelligent optimization of dynamic position management and stop-loss strategies

Project results

After the platform was launched, the annualized return rate of the strategy portfolio increased by 35% compared with traditional quantitative strategies, the maximum drawdown was controlled within 8%, and the Sharpe ratio reached 2.1.

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