Employing Artificial Intelligence Algorithms to Predict the Financial Indicators of APPLE and NFLX Stocks
DOI:
https://doi.org/10.62933/g7208475Abstract
This research explores the use of artificial intelligence algorithms to improve the forecasting of financial indicators for APPLE and Netflix stocks. It aims to explore how financial markets can benefit from modern techniques to analyze financial data and make accurate predictions about future stock movements.
The research included a number of cases depending on the Data-set source NFLX, APPLE recorded variable close price, high price, low price, open price, volume price), predict methods Intelligent Neural Networks, Honey Bee Algorithm Activation Function Sigmoid, Tanh, ReLU, number of bees 10,30,50. Results are compared using the mean square error MSE.
Best result was for the case Honey Bee Algorithm, APPLE, high price, 30 with MSE= 0.0013. Other methods can be taken convolutional neural networks, random neural network.
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Copyright (c) 2025 Mahmood jawad Abu Alshaeer, Waleed Abdullah Araheemah, Nazar Mustafa al-Sarraf (Author)
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Licensed under a CC-BY license: https://creativecommons.org/licenses/by-nc-sa/4.0/
