Energy Stocks: AI Beats the S&P500 by 51.49% with Accuracy of 80%

Highlights:

  • The highest average return is 53.76% for the Top 20 Signals on a 1-year time horizon
  • The most impressive out-performance against the S&P 500 index is from the Top 20 signal group in the 30-day horizon with 316 times higher return
  • Predictions reach up to 80% hit ratio regardless of economic conditions
  • Every signal group has hit ratios above 52% for all time horizons
  • I Know First provides an investment strategy for institutional investors that generated a return of 57.85% and exceeded the S&P500 return by 53.23% for the period from March 28th, 2021 to May 29th, 2022

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Portfolio Construction Based on High Moment Distribution Parameters

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

Summary:

  • Investors are differentiated according to different risk-taking levels, which leads to the existence of different portfolios taking into account investor preferences.
  • The four moments utility function enables us to construct portfolios taking into account investors' preferences about risk-aversion.
  • I Know First provides different forecast packages which allow us to select the most promising stocks for portfolio optimization.

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IKF Algorithm: Application Tips

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

Summary:

  • 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

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Portfolio Construction Based on Fundamental Ratios

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

Summary:

  • Relative valuation is one of the basic concepts of stock evaluation that allows to determine undervalued stocks.
  • The Treynor-Black model allows to construct a portfolio with active and passive investment parts.
  • I Know First provides the Fundamental Stocks Package based on the AI algorithm which allows to select of the most promising stocks based on the fundamental criteria.

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Chemical Stocks: AI Beats S&P500 by 40.55%

Highlights:

  • The highest average return is 53.28% for the Top 5 Signals on a 1-year time horizon
  • The most impressive out-performance against the S&P 500 index is from the Top 10 signal group in the 3-day horizon with 4.44 times higher return
  • Predictions reach up to 97% hit ratio regardless of economic conditions
  • Every signal group has hit ratios above 52% for all time horizons
  • I Know First provides an investment strategy for institutional investors that generated a return of 121.76% and exceeded the S&P 500 return by 102.03% for the period from December 30th, 2020 to April 20th, 2022

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Financial Evolution under the Cryptocurrency Aspect

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

Summary:

  • The cryptocurrency market capitalization has increased dramatically by 970% since January 1, 2020.
  • The cryptocurrency market capitalization has increased dramatically by 970% since January 1, 2020. We can notice the next stage of money transformation into a cryptocurrency that has a decentralized character.
  • I Know First AI helps investors to identify the most promising investment opportunities in the cryptocurrency market.

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Stock Market Forecast: Does the Stock Market Feature Memory?

This article was written by:

Sergey Okun  Sergey Okun – Financial Analyst at I Know First, Ph.D. in Economics.

Alisa IartsevaAlisa Iartseva – Data analyst at I Know First.

Highlights:

  • The stock market has a long-term memory that allows us to make reliable predictions of the future based on previous behaviors and tendencies.
  • The S&P 500 has the highest Hurst exponent compared with the DAX 30, the CAC 40, and the FTSE 100.
  • The Hurst exponent rises with the extension of the step period length which decreases noise in a time series and increases predictability.

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