Machine Learning Trading, Stock Market, and Chaos

taliTali Soroker is a Financial Analyst at I Know First.


Summary
  • There is a notable difference between chaos and randomness making chaotic systems predictable, while random ones are not
  • Modeling chaotic processes are possible using statistics, but it is extremely difficult
  • Machine learning can be used to model chaotic processes more effectively
  • I Know First has employed artificial intelligence and machine learning in order to make predictions in the stock market
  • Definitions for underlined words can be found in the Glossary at the end of the article

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Stock Market Forecast: Creating a Model for Chaos Mapping and Predictions

taliTali Soroker is a Financial Analyst at I Know First.


Summary
  • Chaotic systems revisited – see original article here
  • Understanding the stock market as a chaotic process
  • What is a model and what is a multivariate time series?
  • How is machine learning used to create an efficient/effective model For stock market forecast
  • Considering higher dimension data sets and time complexity

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