A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions
The stock market has been an attractive field for a large number of organizers and investors
to derive useful predictions. Fundamental knowledge of stock market can be utilised with …
to derive useful predictions. Fundamental knowledge of stock market can be utilised with …
Stock market movement forecast: A systematic review
Achieving accurate stock market models can provide investors with tools for making better
data-based decisions. These models can help traders to reduce investment risk and select …
data-based decisions. These models can help traders to reduce investment risk and select …
Quantile connectedness in the cryptocurrency market
In order to move beyond mean-based connectedness measures in the cryptocurrency
market and capture connectedness under extreme events, this paper applies quantile-based …
market and capture connectedness under extreme events, this paper applies quantile-based …
Sentiment analysis: A survey on design framework, applications and future scopes
Sentiment analysis is a solution that enables the extraction of a summarized opinion or
minute sentimental details regarding any topic or context from a voluminous source of data …
minute sentimental details regarding any topic or context from a voluminous source of data …
Forecasting stock market prices using machine learning and deep learning models: A systematic review, performance analysis and discussion of implications
The financial sector has greatly impacted the monetary well-being of consumers, traders,
and financial institutions. In the current era, artificial intelligence is redefining the limits of the …
and financial institutions. In the current era, artificial intelligence is redefining the limits of the …
China's commercial bank stock price prediction using a novel K-means-LSTM hybrid approach
Y Chen, J Wu, Z Wu - Expert Systems with Applications, 2022 - Elsevier
China's commercial Bank shares have become the backbone of the capital market. The
prediction of a bank's stock price has been a hot topic in the investment field. However, the …
prediction of a bank's stock price has been a hot topic in the investment field. However, the …
Artificial intelligence applied to stock market trading: a review
The application of Artificial Intelligence (AI) to financial investment is a research area that
has attracted extensive research attention since the 1990s, when there was an accelerated …
has attracted extensive research attention since the 1990s, when there was an accelerated …
Deep Learning-based Integrated Framework for stock price movement prediction
Y Zhao, G Yang - Applied Soft Computing, 2023 - Elsevier
Stock market prediction is a very important problem in the economics field. With the
development of machine learning, more and more algorithms are applied in the stock market …
development of machine learning, more and more algorithms are applied in the stock market …
Machine learning approaches in stock market prediction: A systematic literature review
LN Mintarya, JNM Halim, C Angie, S Achmad… - Procedia Computer …, 2023 - Elsevier
Predicting the stock market has been done for a long time using traditional methods by
analyzing fundamental and technical aspects. With machine learning, stock market …
analyzing fundamental and technical aspects. With machine learning, stock market …
A survey on safeguarding critical infrastructures: Attacks, AI security, and future directions
Technologies such as artificial intelligence (AI), blockchain, and the Internet of Things (IoT)
have converged in driving the next wave of digital revolution. Amalgamating the …
have converged in driving the next wave of digital revolution. Amalgamating the …