High Accuracy in Forex Predictions Using the Neural Network Method Based on Particle Swarm Optimization

High Accuracy in Forex Predictions Using the Neural Network Method Based on Particle Swarm Optimization

• By Nuraeni, Nia; Astuti, Puji; Irnawati, Oky; Darwati, Ida; Harmoko, Danang Dwi;
• Jurnal Internasional Bereputasi
• 357

In forex trading, trader has to predict the risk in forex transaction and how to gain
or increase the profits based on analysis. The purpose of this study is to predict the value of the
USD against the IDR by comparing the neural network method with the neural network method
based on Particle Swarm Optimization (PSO) to find out which level of accuracy is higher. This
method was chosen by the author after reading several previous studies using PSO-based Neural
Networks showing a higher level of accuracy compared to using Neural Networks without PSO-
based. From the results of the study it was found that predictions using Neural Networks
strengthened with PSO resulted in very high accuracy.

• Katakunci Forex, Neural Network, PSO
• URL http://
• Penerbit ,

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