XGB_HMM dataset_code public_tool train_model .gitignore LICENSE README.md main_single_score.py main_train_model.py README MIT license Stock-Market-Trend-Analysis-Using-HMM-LSTM Update: There is new version of t
链接:链接 This paper intends to apply the Hidden Markov Model into stock market and and make predictions. Moreover, four different methods of improvement, which are GMM-HMM, XGB-HMM, GMM-HMM+LSTM and XGB-HMM+LSTM, will be discussed later with the results of experiment respectively. After th...
The distinctive structure and differential representations of stock market data cannot be overestimated. This section considers some of these differences, especially those used in stock-market implementations of ML algorithms using DL. Understanding data characteristics based on specific use cases can determi...
Keywords: prediction; deep learning; stock prices; CNN; CBAM; LSTM MSC: 68T07; 68T09; 62P051. Introduction In recent years, amid fluctuating financial markets and economic shifts, the gradual decline in bank deposit interest rates has prompted a surge of investors into the stock market [1]...