Comparative Study of FOREX Trading Systems Built with SVR+GHSOM and Genetic Algorithms Optimization of Technical Indicators-Reference-Cited by-同舟云学术

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Comparative Study of FOREX Trading Systems Built with SVR+GHSOM and Genetic Algorithms Optimization of Technical Indicators

Published:2012-11 Issue: Volume: Page:
ISSN:
Container-title:2012 IEEE 24th International Conference on Tools with Artificial Intelligence
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Author:

de Brito Rodrigo F.B.,Oliveira Adriano L.I.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6493540/6495011/06495067.pdf?arnumber=6495067

Cited by 10 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. Trading Strategy Hyper-parameter Optimization using Genetic Algorithm;2023 24th International Conference on Control Systems and Computer Science (CSCS);2023-05

2. Portfolio Investments in the Forex Market;Intelligent Information and Database Systems;2022

3. GA-MSSR: Genetic Algorithm Maximizing Sharpe and Sterling Ratio Method for RoboTrading;2020 International Joint Conference on Neural Networks (IJCNN);2020-07

4. Adaptive detection of FOREX repetitive chart patterns;Pattern Analysis and Applications;2019-12-04

5. Clustering stock price time series data to generate stock trading recommendations: An empirical study;Expert Systems with Applications;2017-03

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