Algorithmic trading and financial forecasting using advanced artificial intelligence methodologies
G Cohen - Mathematics, 2022 - mdpi.com
Artificial Intelligence (AI) has been recently recognized as an essential aid for human
traders. The advantages of the AI systems over human traders are that they can analyze an …
traders. The advantages of the AI systems over human traders are that they can analyze an …
A Three-Dimensional Approach for Stock Prediction Using AI/ML Algorithms: A Review & Comparison
For last few years, there has been significant research on application of AI/ML algorithms in
stock prediction and stock market. Prediction in stock market is challenging as it is affected …
stock prediction and stock market. Prediction in stock market is challenging as it is affected …
A deep reinforcement learning-based decision support system for automated stock market trading
Presently, the volatile and dynamic aspects of stock prices are significant research
challenges for stock markets or any other financial sector to design accurate and profitable …
challenges for stock markets or any other financial sector to design accurate and profitable …
Visual classification of lettuce growth stage based on morphological attributes using unsupervised machine learning models
Food shortage is a serious problem facing the world and is prevalent in urban areas. The
scarcity of food is mainly caused by crop failure. Environmental factors offered by the rural …
scarcity of food is mainly caused by crop failure. Environmental factors offered by the rural …
A Multifaceted Approach to Stock Market Trading Using Reinforcement Learning
In the recent past, algorithmic stock market trading for financial markets has undergone
significant growth and played a major role in investment decisions. Several methods have …
significant growth and played a major role in investment decisions. Several methods have …
A Performance Analysis of Technical Indicators on the Indian Stock Market
This chapter delves into three powerful and widely-used technical indicators, Bollinger
Bands, Moving Average Convergence Divergence (MACD), and the Relative Strength Index …
Bands, Moving Average Convergence Divergence (MACD), and the Relative Strength Index …
[HTML][HTML] An LSTM-based optimization algorithm for enhancing quantitative arbitrage trading
G Han, H Li - PeerJ Computer Science, 2024 - peerj.com
Arbitrage trading is a common quantitative trading strategy that leverages the long-term
cointegration relationships between multiple related assets to conduct spread trading for …
cointegration relationships between multiple related assets to conduct spread trading for …
Forecasting cryptocurrency's buy signal with a bagged tree learning approach to enhance purchase decisions
Introduction The cryptocurrency market is captivating the attention of both retail and
institutional investors. While this highly volatile market offers investors substantial profit …
institutional investors. While this highly volatile market offers investors substantial profit …
Optimal fuzzy energy trading system in a fog-enabled smart grid
With the recent technological advancements, it has become possible to conceive numerous
valuable applications for efficient utilization of energy resources in a smart grid. As …
valuable applications for efficient utilization of energy resources in a smart grid. As …
A systematic literature survey on recent trends in stock market prediction
P Balasubramanian, P Chinthan, S Badarudeen… - PeerJ Computer …, 2024 - peerj.com
Prediction of the stock market is a challenging and time-consuming process. In recent times,
various research analysts and organizations have used different tools and techniques to …
various research analysts and organizations have used different tools and techniques to …