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Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms

  • Published:2021-08-08 Issue:12 Volume:36 Page:7609-7640
  • ISSN:0884-8173
  • Container-title:International Journal of Intelligent Systems
  • language:en
  • Short-container-title:Int J Intell Syst

Author:

Adegboye Adesola1ORCID,Kampouridis Michael2ORCID,Otero Fernando1ORCID

Affiliation:

1. School of Computing University of Kent Canterbury UK

2. School of Computer Science and Electronic Engineering University of Essex Colchester UK

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Nowcasting directional change in high frequency FX markets;Intelligent Systems in Accounting, Finance and Management;2024-03

2. Optimization of Trading Strategies Using a Genetic Algorithm Under the Directional Changes Paradigm with Multiple Thresholds;2023 IEEE Congress on Evolutionary Computation (CEC);2023-07-01

3. Quantum Monte Carlo simulations for estimating FOREX markets: a speculative attacks experience;Humanities and Social Sciences Communications;2023-06-26

4. Improving Candle Direction Classification in Forex Market Using Support Vector Machine with Hyperparameters Tuning;2022 Seventh International Conference on Informatics and Computing (ICIC);2022-12-08

5. Algorithmic trading with directional changes;Artificial Intelligence Review;2022-11-07
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