Integrating Fibonacci Retracement To Improve Accuracy of Time Series Prediction of Gold Prices
The prediction of gold prices is crucial for investors and policymakers due to its significant impact on global financial markets. Machine learning and deep learning have been used for predicting gold prices on time series data. This study employs MLR, SVM and CNN LSTM with Fibonacci retracement le...
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| Huvudupphov: | , , , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
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Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI)
2025-06-01
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| Serie: | Journal of Applied Engineering and Technological Science |
| Ämnen: | |
| Länkar: | http://journal.yrpipku.com/index.php/jaets/article/view/6073 |
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