A literature review of technical analysis on stock markets

RTF Nazário, JL e Silva, VA Sobreiro… - The Quarterly Review of …, 2017 - Elsevier
Several studies have been published in the last 55 years exploring technical analysis.
However, there is a lack of research that consolidates the available knowledge concerning …

Review of multi-criteria decision-making methods in finance using explainable artificial intelligence

J Černevičienė, A Kabašinskas - Frontiers in artificial intelligence, 2022 - frontiersin.org
The influence of Artificial Intelligence is growing, as is the need to make it as explainable as
possible. Explainability is one of the main obstacles that AI faces today on the way to more …

Genetic algorithm based model for optimizing bank lending decisions

N Metawa, MK Hassan, M Elhoseny - Expert Systems with Applications, 2017 - Elsevier
To avoid the complexity and time consumption of traditional statistical and mathematical
programming, intelligent techniques have gained great attention in different financial …

Application of deep reinforcement learning in stock trading strategies and stock forecasting

Y Li, P Ni, V Chang - Computing, 2020 - Springer
The role of the stock market across the overall financial market is indispensable. The way to
acquire practical trading signals in the transaction process to maximize the benefits is a …

Portfolio selection: a fuzzy-ANP approach

M Rahiminezhad Galankashi, F Mokhatab Rafiei… - Financial Innovation, 2020 - Springer
This study developed specific criteria and a fuzzy analytic network process (FANP) to assess
and select portfolios on the Tehran Stock Exchange (TSE). Although the portfolio selection …

[Књига][B] Artificial intelligence in asset management

SM Bartram, J Branke, M Motahari - 2020 - books.google.com
Artificial intelligence (AI) has grown in presence in asset management and has
revolutionized the sector in many ways. It has improved portfolio management, trading, and …

Computational approaches and data analytics in financial services: A literature review

D Andriosopoulos, M Doumpos… - Journal of the …, 2019 - Taylor & Francis
The level of modeling sophistication in financial services has increased considerably over
the years. Nowadays, the complexity of financial problems and the vast amount of data …

A deep Q-learning based algorithmic trading system for commodity futures markets

M Massahi, M Mahootchi - Expert Systems with Applications, 2024 - Elsevier
Nowadays, investors seek more sophisticated decision-making tools that maximize their
profit from investing in the financial markets by suitably determining the optimal position …

An integrated framework of genetic network programming and multi-layer perceptron neural network for prediction of daily stock return: An application in Tehran stock …

R Ramezanian, A Peymanfar, SB Ebrahimi - Applied soft computing, 2019 - Elsevier
Evolutionary algorithms are generally used to find or generate the best individuals in a
population. Whenever these algorithms are applied to agent systems, they will lead to …

A survey on financial applications of metaheuristics

A Soler-Dominguez, AA Juan, R Kizys - ACM Computing Surveys (CSUR …, 2017 - dl.acm.org
Modern heuristics or metaheuristics are optimization algorithms that have been increasingly
used during the last decades to support complex decision-making in a number of fields …