A Review of Artificial Intelligence Applications in Stock Market Prediction
DOI:
https://doi.org/10.54097/rvf2hc29Keywords:
Artificial Intelligence; stock market, machine learning; prediction methods; investment analysis.Abstract
This paper mainly talks about the application of artificial intelligence (AI) in stock market prediction. Focusing on how AI changes stock market prediction accuracy, analysis efficiency, and response speed to changes in different stock market information. With the introduction of stock market prediction and the development of stock market analysis, this paper fully explored the changes brought by adapting a modern AI model in the prediction process, conducted by analyzing popular AI models such as LSTM and Random Forest. And the study also addresses several key challenges when using AI in stock market prediction, including data accuracy, users’ proficiency, analysis transparency, and data security risks. In the end, this review concludes that AI plays a vital role in stock market prediction on different sides, showing that AI has a strong capacity of dragging information from a large volume database. Meanwhile, with these benefits, its limitations in model-training data accuracy and ethical concerns remain.
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