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

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

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

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.