# Technical data analysis for movement prediction of Euro to USD using Genetic Algorithm-Neural Network
> Sespajayadi A.

URL kanonis: https://discover.unhas.ac.id/publications/technical-data-analysis-for-movement-prediction-of-euro-to-usd-using-genetic-alg
Jurnal / Konferensi: 2015 International Seminar on Intelligent Technology and Its Applications Isitia 2015 Proceeding
Tahun terbit: 2015
DOI: https://doi.org/10.1109/ISITIA.2015.7219947
Citations: 6

## Authors
- Sespajayadi A.

## Abstract
In the foreign currency exchange (FOREX), a technical data analysis system for predicting currency movements is needed to help traders in decision making. Thus, this study proposes a system of technical data analysis to movement prediction of Euro to USD using Genetic Algorithm-Neural Network (GANN). To generate a predicted value, Genetic Algorithm searching for the best value of Feed Forward Neural Network (FFNN) trained with the Neural Network method that produced a net to predict. The Validation of predicted results with GANN method based on the degree of accuracy as follows. RMSE values of open is 0.00043; The RMSE values of high is 0.00068; The RMSE value of low is 0.00075; and RMSE values of close is 0.00070.

## Keywords
- Artificial neural network
- Mean squared error
- Computer science
- Genetic algorithm
- Foreign exchange market
- Currency
- Feedforward neural network
- Value (mathematics)
- Artificial intelligence
- Data mining
- Machine learning
- Algorithm
- Statistics
- Mathematics
- Monetary economics
- Economics

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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