Entropy Test: Identifying the Dimension Where Deterministic Chaos is alive in Financial Markets

Sergey Okun  This article was written by Sergey Okun – Senior Financial Analyst, I Know First, Ph.D. in Economics.

Summary:

  • The approximate entropy test enables us to identify when deterministic chaotic patterns start in financial assets.
  • There are non-linear dependence patterns in the 3-day interval for the S&P500, precious metal ETFs, volatility ETFs, debt market ETFs, real-estate ETF, US dollar ETF, and cryptocurrencies.
  • We could not reject the hypothesis of linear dependence for the platinum ETF.
  • The I Know First AI algorithm allows for identifying non-linear dependencies in financial assets to find the most promising investment opportunities.

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Machine Learning Methods in Stock Price Prediction

Yuxiao YangThis article was written by Yuxiao Yang – Financial Analyst at I Know First.

Summary:

  • Machine Learning Methods help us find patterns from historical data and then apply them to predictions and algorithmic trading strategies.
  • Major Machine Learning Methods in Stock Price Prediction can be divided into Traditional Machine Learning Methods such as regression methods, Deep Learning methods, Time Series Analysis methods, and Graph-Based methods.
  • The I Know First AI algorithm provides us with the tool to select the most promising stocks.

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