This article's goal is to help investors choose between the support vector machine (SVM) and the long short-term memory (LSTM) models for forecasting stock prices. The suggested method takes into account both internal and external aspects in its prediction process, combining mathematical functions ...
使用LSTM和技术指标预测股价 (0)踩踩(0) 所需:1积分 sip_client 2025-02-10 10:02:38 积分:1 AKStreamWebUI 2025-02-10 10:01:31 积分:1 cstructures 2025-02-10 09:55:22 积分:1 2024-5-16 2025-02-10 09:54:43 积分:1 XLugia.XDatabase ...
Designing robust and accurate predictive models for stock price prediction has been an active area of research for a long time. While on one side, the supporters of the efficient market hypothesis claim that it is impossible to forecast stock prices accurately, many researchers believe otherwise. ...
B. LSTM for Time series Prediction LSTM神经网络的输入是序列,它们是CNN模型的输出。每个序列分为多个元素。在每个时间步长,一个元素用作输入。如图3所示,空白圆圈代表状态,灰色圆圈代表输入。如果按照时间步长展开LSTM,则可以将LSTM表示为网络,如图3右侧所示。每个时间步长的输出和输入表示为oi和xi。
There are many examples of Machine Learning algorithms been able to reach satisfactory results when doing that type of prediction. This article studies the usage of LSTM networks on that scenario, to predict future trends of stock prices based on the price history, alongside with technical analysis...
Artificial intelligence Artificial rabbits optimization algorithm Deep learning LSTM Stock price prediction 1. Introduction A stock market is a place where people can buy and sell stocks of companies that are publicly traded with the goal of making money. It is an important indicator of a country'...
Rana M, Uddin MM, Hoque MM (2019) Effects of activation functions and optimizers on stock price prediction using LSTM recurrent networks, CSAI, Beijing, China, pp 354–358 Ruxanda G, Badea LM (2014) Configuring artificial neural networks for stock market predictions. Technol Econ Dev Econ 20...
We further introduced our customized LSTM model and further improved the prediction scores in all the evaluation metrics. The proposed solution outperformed the machine learning and deep learning-based models in similar previous works. The remainder of this paper is organized as follows. “Survey of ...
OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network - NourozR/Stock-Price-Prediction-LSTM
prediction performance. By modifying the distance measurement algorithm into DTW, an improved K-means clustering algorithm is proposed to cluster out banks with similar price trends. Then those clustered stocks are used to train a long and short-term memory (LSTM) neural network model for static ...