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 …

A Three-Dimensional Approach for Stock Prediction Using AI/ML Algorithms: A Review & Comparison

SS Raju, M Srikanth, K Guravaiah… - … on Innovative Trends …, 2023 - ieeexplore.ieee.org
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 …

A deep reinforcement learning-based decision support system for automated stock market trading

Y Ansari, S Yasmin, S Naz, H Zaffar, Z Ali, J Moon… - IEEE …, 2022 - ieeexplore.ieee.org
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 …

Visual classification of lettuce growth stage based on morphological attributes using unsupervised machine learning models

J Alejandrino, R Concepcion… - 2020 IEEE REGION …, 2020 - ieeexplore.ieee.org
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 …

A Multifaceted Approach to Stock Market Trading Using Reinforcement Learning

Y Ansari, S Gillani, M Bukhari, B Lee, M Maqsood… - IEEE …, 2024 - ieeexplore.ieee.org
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 …

A Performance Analysis of Technical Indicators on the Indian Stock Market

H Waghela, J Sen, S Rakshit - Artificial Intelligence in Prescriptive …, 2024 - Springer
This chapter delves into three powerful and widely-used technical indicators, Bollinger
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 …

Forecasting cryptocurrency's buy signal with a bagged tree learning approach to enhance purchase decisions

R Alsini, Q Abu Al-Haija, AA Alsulami, B Alturki… - Frontiers in big …, 2024 - frontiersin.org
Introduction The cryptocurrency market is captivating the attention of both retail and
institutional investors. While this highly volatile market offers investors substantial profit …

Optimal fuzzy energy trading system in a fog-enabled smart grid

K Shahzad, S Iqbal, H Mukhtar - Energies, 2021 - mdpi.com
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 …

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 …