Computer Stocks: AI Beats the S&P500 by 53.20%

The highest average return is 76.01% for the Top 5 Signals on a 1-year time horizon.
The average return across all signal and horizon groups is positive.
Predictions reach up to an 81% hit ratio regardless of economic conditions.

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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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The stock provided a return of 26.99% during the trading day in line with the I Know First AI forecast on November 30, 2022.

This article was written by the I Know First Research Team.

The use of mathematics and algorithms eliminates a big problem that all of us share, being emotional.
IKF provides an efficient AI algorithm for finding promising financial assets.
There are several tips that allow us to correctly interpret the output of the IKF algorithm