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The prediction of closing prices of company stocks using random forests and artificial neural networks
2022
AIP Conference Proceedings
Tracking accurate movement of stock market is a difficult job for investors in recent times due to the nonlinear behavior and volatility of the stocks, which gets affected because of different reasons. Now, advancement in technology, introduction of artificial intelligence, improved computation power and programming methods have enabled researchers to forecast the market more efficiently. This paper is an attempt to create new variables with the help of artificial neural network (ANN) and
doi:10.1063/5.0103754
fatcat:k3ulnzdwnzd47bathhfi5yyrdy