Topics

  • stock market
  • mathematical indicators
  • algorithms for decision-making
  • responsible consumption
  • indicators and mathematical oscillators such as Willian %R, Move Averages, MACD, Bollinger Bands, etc.

Outcomes

To build confidence in setting up new systems of analysis with the use of classic machine learning. Students will take workshops about machine learning applied to the financial market and mathematics indicators for stock market analysis. They will also examine case studies on advanced algorithms and their application.

Students will attempt to construct automated analytical reports for the stock market that help guide decision-making for investors using machine learning algorithms.


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