Google Trends and Technical Indicator based Machine Learning for Stock Market Prediction
M Hani'ah, MZ Abdullah… - MATRIK: Jurnal …, 2023 - journal.universitasbumigora.ac.id
The stock market often attracts investors to invest, but it is not uncommon for investors to
experience losses when buying and selling shares. This causes investors to hesitate to …
experience losses when buying and selling shares. This causes investors to hesitate to …
Stock Price Prediction in Vietnam Using Stacked LSTM
The direction of the stock market is always complex, stochastic, and highly volatile. In
addition to traditional forecasting models such as linear regression and Automatic …
addition to traditional forecasting models such as linear regression and Automatic …
Improving Stock Price Forecasting Accuracy with Stochastic Multilayer Perceptron
AMP Vincent, H Salleh - Malaysian Journal of Fundamental and …, 2024 - mjfas.utm.my
The stock market operates in a stochastic environment, making accurate price forecasting
challenging. To address this issue, a stochastic multilayer perceptron (S-MLP) model has …
challenging. To address this issue, a stochastic multilayer perceptron (S-MLP) model has …
REVIEW ON STOCHASTIC HYBRIDISATION OF FEEDFORWARD NEURAL NETWORK IN STOCK MARKET
AMP Vincent, H Salleh - Journal of Mathematical Sciences and …, 2024 - journal.umt.edu.my
The stock market is an example of a stochastic environment in the real world. So, obtaining
accurate forecasting models of the stock market can be challenging due to its complex …
accurate forecasting models of the stock market can be challenging due to its complex …