Paper Title:
Research on Automated Forex Trading System Based on BP Neural Network
  Abstract

This paper reports on an expert advisor for forex trading based on Back Propagation Neural Network (BPNN) in MetaTrader4 platform. A single hidden layer feedforward network was established for foreign exchange rate prediction. Trading rules based on the prediction results was designed and realized. Finally, we optimized the parameters according to the profitability performed on EUR/USD, GBP/USD currency pairs separately. The optimized results are able to achieve good results in the training series. In the test series, the strategies are consistently profitable for at least the first twenty days. It is concluded that the BPNN based model do have the ability to make profits from the experimental currency pairs for the period investigated.

  Info
Periodical
Advanced Materials Research (Volumes 753-755)
Chapter
Chapter 18: Information Technologies, Image and Video Processing, Computer and Data Analysis Applications in Industry and Engineering
Edited by
Xiaoming Sang and Yun-Hae Kim
Pages
3080-3083
DOI
10.4028/www.scientific.net/AMR.753-755.3080
Citation
L. Meng, Y. Sun, "Research on Automated Forex Trading System Based on BP Neural Network", Advanced Materials Research, Vols. 753-755, pp. 3080-3083, 2013
Online since
August 2013
Authors
Export
Price
$35.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Chun Mei Zhu, Chang Peng Yan, Xiao Li Xu, Guo Xin Wu
Abstract:In order to improve the efficiency and accuracy of the prediction of expressway traffic flow, this paper, based on the characteristics of the...
4400
Authors: Yu Min Pan, Cheng Yu Huang, Quan Zhu Zhang
Abstract:In order to improve the precision of gas emission forecasting,this paper proposes a new forecasting model based on Particle Swarm...
605
Authors: Jie Lai Chen, Da Zhi Jiang, Ya Yan Huang
Chapter 4: Manufacturing Systems Modeling and Optimization
Abstract:The drawbead plays a very important role in automobile covering part forming processes. Traditional drawbead design mainly depends on...
790
Authors: Lei Wang, Jiang Ning Gai
Chapter 3: Micro/Nano Materials
Abstract:In electrochemical machining (ECM) machining accuracy of workpieces is greatly influenced by many machining parameters. In this paper the BP...
375
Authors: Ying Jia, Hu Xu, Cheng Feng, Xing Yun Wang
Chapter 15: Equipment Design, Manufacturing, Automation and Control
Abstract:It presents a method to predict and optimize the electroless plating process, and to compare the predictive ability of the network to the...
1978