[HTML][HTML] A survey of forex and stock price prediction using deep learning
Predictions of stock and foreign exchange (Forex) have always been a hot and profitable
area of study. Deep learning applications have been proven to yield better accuracy and …
area of study. Deep learning applications have been proven to yield better accuracy and …
Stock market prediction of Nifty 50 index applying machine learning techniques
Z Fathali, Z Kodia, L Ben Said - Applied Artificial Intelligence, 2022 - Taylor & Francis
The stock market is viewed as an unpredictable, volatile, and competitive market. The
prediction of stock prices has been a challenging task for many years. In fact, many analysts …
prediction of stock prices has been a challenging task for many years. In fact, many analysts …
Stock price prediction using time series, econometric, machine learning, and deep learning models
For a long-time, researchers have been developing a reliable and accurate predictive model
for stock price prediction. According to the literature, if predictive models are correctly …
for stock price prediction. According to the literature, if predictive models are correctly …
[HTML][HTML] Framework for predicting and modeling stock market prices based on deep learning algorithms
THH Aldhyani, A Alzahrani - Electronics, 2022 - mdpi.com
The creation of trustworthy models of the equities market enables investors to make better-
informed choices. A trading model may lessen the risks that are connected with investing …
informed choices. A trading model may lessen the risks that are connected with investing …
NSE stock market prediction using deep-learning models
M Hiransha, EA Gopalakrishnan, VK Menon… - Procedia computer …, 2018 - Elsevier
The neural network, one of the intelligent data mining technique that has been used by
researchers in various areas for the past 10 years. Prediction and analysis of stock market …
researchers in various areas for the past 10 years. Prediction and analysis of stock market …
Stock market prediction using deep learning algorithms
Abstract The Stock Market is one of the most active research areas, and predicting its nature
is an epic necessity nowadays. Predicting the Stock Market is quite challenging, and it …
is an epic necessity nowadays. Predicting the Stock Market is quite challenging, and it …
Stock price prediction using CNN and LSTM-based deep learning models
S Mehtab, J Sen - … Conference on Decision Aid Sciences and …, 2020 - ieeexplore.ieee.org
Designing robust and accurate predictive models for stock price prediction has been an
active area of research over a long time. While on one side, the supporters of the efficient …
active area of research over a long time. While on one side, the supporters of the efficient …
Stock price prediction using DEEP learning algorithm and its comparison with machine learning algorithms
M Nikou, G Mansourfar… - Intelligent Systems in …, 2019 - Wiley Online Library
Security indices are the main tools for evaluation of the status of financial markets. Moreover,
a main part of the economy of any country is constituted of investment in stock markets …
a main part of the economy of any country is constituted of investment in stock markets …
Applicability of deep learning models for stock price forecasting an empirical study on BANKEX data
Stock price time series are extremely nonlinear in nature and hence, accurate stock price
forecasting has been a challenge. Accurate prediction of stock prices and the direction of …
forecasting has been a challenge. Accurate prediction of stock prices and the direction of …
StockPred: a framework for stock Price prediction
Abstract Recently, Stock Price prediction becomes a significant practical aspect of the
economic arena. The stock price prediction is generally considered as one of the most …
economic arena. The stock price prediction is generally considered as one of the most …