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Analysis and Prediction of Stock Data by Various Algorithms

Author(s)

Chengxiang Yang

Affiliation(s)

School of Applied Mathematics, XJTLU University, Suzhou, China

Abstract

Overall, Random Fores is the best algorithm, not only because its overall performance is the most stable, the highest accuracy, but also because of the six companies, as the Internet company GOOG, its stock data will be affected by more objective factors, and the stock system is chaotic uncertainty, and the highest accuracy in the GOOG stock Random Fores is undoubtedly the best algorithm.

Keywords

Linear Regressions; SVM; ANN; XG Boost; Gradient Boosting; Random Fores; MSE; MAE; R2 Score; Explained Variance

References

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