[HTML][HTML] Machine learning techniques and data for stock market forecasting: A literature review
In this literature review, we investigate machine learning techniques that are applied for
stock market prediction. A focus area in this literature review is the stock markets …
stock market prediction. A focus area in this literature review is the stock markets …
Applications of deep learning in stock market prediction: recent progress
W Jiang - Expert Systems with Applications, 2021 - Elsevier
Stock market prediction has been a classical yet challenging problem, with the attention from
both economists and computer scientists. With the purpose of building an effective prediction …
both economists and computer scientists. With the purpose of building an effective prediction …
[HTML][HTML] Predicting stock market index using LSTM
The rapid advancement in artificial intelligence and machine learning techniques,
availability of large-scale data, and increased computational capabilities of the machine …
availability of large-scale data, and increased computational capabilities of the machine …
Predicting stock market trends using machine learning and deep learning algorithms via continuous and binary data; a comparative analysis
The nature of stock market movement has always been ambiguous for investors because of
various influential factors. This study aims to significantly reduce the risk of trend prediction …
various influential factors. This study aims to significantly reduce the risk of trend prediction …
A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction
N **g, Z Wu, H Wang - Expert Systems with Applications, 2021 - Elsevier
Whether stock prices are predictable has been the center of debate in academia. In this
paper, we propose a hybrid model that combines a deep learning approach with a sentiment …
paper, we propose a hybrid model that combines a deep learning approach with a sentiment …
Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies
We offer a systematic analysis of the use of deep learning networks for stock market analysis
and prediction. Its ability to extract features from a large set of raw data without relying on …
and prediction. Its ability to extract features from a large set of raw data without relying on …
AI‐Based Prediction of Capital Structure: Performance Comparison of ANN SVM and LR Models
Capital structure is an integral part of the corporate finance that sources the funds to finance
growth and operations. Managers always have to maintain value of the firm to be higher …
growth and operations. Managers always have to maintain value of the firm to be higher …
Short-term stock market price trend prediction using a comprehensive deep learning system
J Shen, MO Shafiq - Journal of big Data, 2020 - Springer
In the era of big data, deep learning for predicting stock market prices and trends has
become even more popular than before. We collected 2 years of data from Chinese stock …
become even more popular than before. We collected 2 years of data from Chinese stock …
A systematic review of fundamental and technical analysis of stock market predictions
The stock market is a key pivot in every growing and thriving economy, and every investment
in the market is aimed at maximising profit and minimising associated risk. As a result …
in the market is aimed at maximising profit and minimising associated risk. As a result …
Predicting stock and stock price index movement using trend deterministic data preparation and machine learning techniques
This paper addresses problem of predicting direction of movement of stock and stock price
index for Indian stock markets. The study compares four prediction models, Artificial Neural …
index for Indian stock markets. The study compares four prediction models, Artificial Neural …