News-based intelligent prediction of financial markets using text mining and machine learning: A systematic literature review
Researchers and practitioners have attempted to predict the financial market by analyzing
textual (eg, news articles and social media) and numeric data (eg, hourly stock prices, and …
textual (eg, news articles and social media) and numeric data (eg, hourly stock prices, and …
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 …
[HTML][HTML] Stock price prediction with optimized deep LSTM network with artificial rabbits optimization algorithm
B Gülmez - Expert Systems with Applications, 2023 - Elsevier
The stock market is a financial market where shares of publicly listed corporations are
purchased and sold. It is an indicator of a country's economic health, reflecting the …
purchased and sold. It is an indicator of a country's economic health, reflecting the …
Data analytics in industry 4.0: A survey
Industry 4.0 is the fourth industrial revolution for decentralized production through shared
facilities to achieve on-demand manufacturing and resource efficiency. It evolves from …
facilities to achieve on-demand manufacturing and resource efficiency. It evolves from …
Deep learning in the stock market—a systematic survey of practice, backtesting, and applications
K Olorunnimbe, H Viktor - Artificial Intelligence Review, 2023 - Springer
The widespread usage of machine learning in different mainstream contexts has made deep
learning the technique of choice in various domains, including finance. This systematic …
learning the technique of choice in various domains, including finance. This systematic …
Machine learning approaches in stock price prediction: a systematic review
P Soni, Y Tewari, D Krishnan - Journal of Physics: Conference …, 2022 - iopscience.iop.org
Prediction of stock prices is one of the most researched topics and gathers interest from
academia and the industry alike. With the emergence of Artificial Intelligence, various …
academia and the industry alike. With the emergence of Artificial Intelligence, various …
[PDF][PDF] Fitting multi-layer feed forward neural network and autoregressive integrated moving average for Dhaka Stock Exchange price predicting
The stock market plays a vital role in the economic development of any country. Stock
market performance can be measured by the market capitalization ratio as well as many …
market performance can be measured by the market capitalization ratio as well as many …
A new stock price forecasting method using active deep learning approach
Stock price prediction is a significant research field due to its importance in terms of benefits
for individuals, corporations, and governments. This research explores the application of the …
for individuals, corporations, and governments. This research explores the application of the …
A comparative analysis of active learning for biomedical text mining
An enormous amount of clinical free-text information, such as pathology reports, progress
reports, clinical notes and discharge summaries have been collected at hospitals and …
reports, clinical notes and discharge summaries have been collected at hospitals and …
Stock-price forecasting based on XGBoost and LSTM.
Using time-series data analysis for stock-price forecasting (SPF) is complex and challenging
because many factors can influence stock prices (eg, inflation, seasonality, economic policy …
because many factors can influence stock prices (eg, inflation, seasonality, economic policy …