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Applying machine learning algorithms to predict the stock price trend in the stock market - The case of Vietnam

Business

Applying machine learning algorithms to predict the stock price trend in the stock market - The case of Vietnam

T. Phuoc, P. T. K. Anh, et al.

This study reveals a groundbreaking approach to predicting stock price trends in Vietnam's emerging market using the Long Short-Term Memory (LSTM) algorithm. With an impressive accuracy rate of 93%, the research conducted by Tran Phuoc, Pham Thi Kim Anh, Phan Huy Tam, and Chien V. Nguyen showcases the model's effectiveness in analyzing stock price movements based on technical indicators and key stock data.

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