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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Stock Market Forecast: APDN Increased by 46.43%

The IKF AI algorithm suggested Applied DNA Science (APDN) as one of the most promising stocks in our Options package on August 3, 2022.

Stock Market Forecast: BNGO Increased by 15.14%

The IKF AI algorithm suggested Bionano Genomics (BNGO) as one of the most promising stocks in our Biotechnology package on August 2, 2022.

Stock Market Forecast: LTRPB Increased by 22.78%

The IKF AI algorithm suggested Liberty TripAdvisor Holdings (LTRPB) as one of the most promising stocks on August 2, 2022.

Stock Market Forecast: IFRX Increased by 7.81%

The IKF AI algorithm suggested InflaRX N.V. (IFRX) as one of the most promising stocks on July 27, 2022.

Where Chaos is Born

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

Summary:

  • We can detect chaos even in a system in which everything seems determined.
  • Lorenz attractor provides evidence that there is order behavior in a chaotic system.
  • If the stock market is chaotic, it does not mean that it is not predictable, and I Know First provides stock market forecasts based on chaos theory approaches.

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