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What are the current popular approaches to leveraging AI for stock price prediction? It seems like there could be several approaches and problem formulations:

  • Supervised learning:
    • Regression: predict the stock price directly
    • Classification: predict whether the stock price goes up or down
  • Unsupervised learning: find clusters of stocks that move together
  • Reinforcement learning: let the agent directly maximize its stock market return
  • Other AI methods: rules, symbolic systems etc.

Which are most popular/performant? Are there other ways that people are using machine learning in stock trading (sentiment analysis on financial statments, news etc.).

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