Can deep learning improve technical analysis of forex data to predict future price movements?

M Fisichella, F Garolla - Ieee Access, 2021 - ieeexplore.ieee.org
The foreign exchange market (Forex) is the world's largest market for trading foreign money,
with a trading volume of over 5.1 trillion dollars per day. It is known to be very complicated …

Heuristic based trading system on Forex data using technical indicator rules

M Ozturk, IH Toroslu, G Fidan - Applied Soft Computing, 2016 - Elsevier
Technical indicators are widely used in Forex and other financial markets which are the
building blocks of many trading systems. A trading system is based on technical indicators or …

A review of the bacterial foraging algorithm in constrained numerical optimization

B Hernández-Ocana, E Mezura-Montes… - 2013 IEEE congress …, 2013 - ieeexplore.ieee.org
A review of the bacterial foraging optimization algorithm used to solve numerical constrained
optimization problems is presented in this paper. After an introduction to the algorithm and …

Digital IIR filter design using multi-objective optimization evolutionary algorithm

Y Wang, B Li, Y Chen - Applied Soft Computing, 2011 - Elsevier
The research of applying evolutionary algorithms (EAs) to digital infinite-impulse response
(IIR) filter design has gained much attention in recent years. Previously, most works treated …

[PDF][PDF] Forecasting directional changes in financial markets

A Bakhach, EP Tsang, WL Ng - Working Paper WP075–15 Centre for …, 2015 - bracil.net
Financial forecasting is an important research area. Most researches in forecasting use time
series, which sample market prices at fixed intervals; for example, daily closing prices …

Bargaining strategies designed by evolutionary algorithms

N Jin, E Tsang - Applied Soft Computing, 2011 - Elsevier
This paper explores the possibility of using evolutionary algorithms (EAs) to automatically
generate efficient and stable strategies for complicated bargaining problems. This idea is …

Automated reasoning and learning for automated payroll management

S Dumancic, W Meert, S Goethals… - Proceedings of the …, 2021 - ojs.aaai.org
While payroll management is a crucial aspect of any business venture, anticipating the
future financial impact of changes to the payroll policy is a challenging task due to the …

A hybrid genetic algorithm for group formation at workplace

SS Caetano, DJ Ferreira, CG Camilo… - 2015 IEEE Congress …, 2015 - ieeexplore.ieee.org
Corporate university (CO) become a trend in organizations. However, functional
characteristics are little explored by CO for boosting knowledge creation. One of them is …

Metaheuristic design pattern: Candidate solution repair

K Krawiec - Proceedings of the Companion Publication of the 2014 …, 2014 - dl.acm.org
In metaheuristic algorithms applied to certain problems, it may be difficult to design search
operators that guarantee producing feasible search points. In such cases, it may be more …

[PDF][PDF] New ways to understand financial markets

E Tsang - Centre for Computational Finance and Economic …, 2010 - researchgate.net
Traditionally, researches in financial markets were broadly divided into two camps:
fundamental and technical analysis. Fundamental analysts assume that assets, such as …