Applying machine learning algorithms to predict the stock price | ResearchBunny

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Abstract

This study aims to predict stock price trends in Vietnam's emerging market using the Long Short-Term Memory (LSTM) algorithm. The model incorporates technical indicators (SMA, MACD, RSI) and data from VN-Index and VN-30 stocks. Results show a 93% accuracy rate for most stocks, demonstrating the LSTM model's effectiveness in analyzing and forecasting stock price movements.

Publisher

Humanities & Social Sciences Communications

Published On

Mar 12, 2024

Authors

Tran Phuoc, Pham Thi Kim Anh, Phan Huy Tam, Chien V. Nguyen

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