Stock market movement forecast: A systematic review
O Bustos, A Pomares-Quimbaya - Expert Systems with Applications, 2020 - Elsevier
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 …
[HTML][HTML] Survey of feature selection and extraction techniques for stock market prediction
In stock market forecasting, the identification of critical features that affect the performance of
machine learning (ML) models is crucial to achieve accurate stock price predictions. Several …
machine learning (ML) models is crucial to achieve accurate stock price predictions. Several …
Stock market price prediction using LSTM RNN
K Pawar, RS Jalem, V Tiwari - Emerging Trends in Expert Applications and …, 2019 - Springer
Financial Analysis has become a challenging aspect in today's world of valuable and better
investment. This paper introduces the implementation of Recurrent Neural Network (RNN) …
investment. This paper introduces the implementation of Recurrent Neural Network (RNN) …
Application of convolutional neural network fused with machine learning modeling framework for geospatial comparative analysis of landslide susceptibility
Z Gao, M Ding - Natural Hazards, 2022 - Springer
Landslides in mountain settlements are among the most widespread and dangerous
geohazards. In this study, we aimed to assess landslide susceptibility using Wenchuan …
geohazards. In this study, we aimed to assess landslide susceptibility using Wenchuan …
[HTML][HTML] Machine learning-based approaches for financial market prediction: A comprehensive review
This research paper investigates the use of machine learning techniques in financial
markets. The paper provides a comprehensive literature review of recent research on …
markets. The paper provides a comprehensive literature review of recent research on …
Predicting stock prices using ensemble learning and sentiment analysis
U Pasupulety, AA Anees, S Anmol… - 2019 IEEE second …, 2019 - ieeexplore.ieee.org
The recent success of the application of Artificial Intelligence in the financial sector has
resulted in more firms relying on stochastic models for predicting the behaviour of the …
resulted in more firms relying on stochastic models for predicting the behaviour of the …
Analysis and prediction of Indian stock market: a machine-learning approach
Prediction of financial stock market is a challenging task because of its volatile and non-
linear nature. The presence of different factors like psychological, sentimental state, rational …
linear nature. The presence of different factors like psychological, sentimental state, rational …
Study on machine learning techniques in financial markets
P Vats, K Samdani - 2019 IEEE International Conference on …, 2019 - ieeexplore.ieee.org
Portfolios, securities, stock market forecasting, risk management, debt management are all
important pillars of the financial world. These pillars rely heavily on adequate and accurate …
important pillars of the financial world. These pillars rely heavily on adequate and accurate …
[HTML][HTML] Prediction of stock price movement using an improved NSGA-II-RF algorithm with a three-stage feature engineering process
X Zeng, J Cai, C Liang, C Yuan - Plos one, 2023 - journals.plos.org
Prediction of stock price has been a hot topic in artificial intelligence field. Computational
intelligent methods such as machine learning or deep learning are explored in the …
intelligent methods such as machine learning or deep learning are explored in the …
A time-varying stock portfolio selection model based on optimized PSO-BiLSTM and multi-objective mathematical programming under budget constraints
J Vaziri, D Farid, M Nazemi Ardakani… - Neural Computing and …, 2023 - Springer
Choosing the optimal portfolio is an ongoing challenging research area and a complex
process involving selecting the best investment plan according to various factors, such as …
process involving selecting the best investment plan according to various factors, such as …