Stock Price Predictions With a Linear Model and Neural Network
DOI:
https://doi.org/10.47611/jsrhs.v13i1.6321Keywords:
artificial intelligence, machine learning, stock price predictionAbstract
The stock market is important for the economy: not only does it provide ways for businesses to raise capital, but it also allows individuals to build wealth. This paper focuses on building an artificial intelligence (AI) model that can predict the prices of stocks based on historical prices. The data used to train the AI model was collected via Yahoo Finance, and the result was a model that could predict the prices of shares of different companies with a mean square error (MSE) of less than 100.
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