Gold Price Forecasting Using LSTM, Bi-LSTM and GRU

Author:

YURTSEVER Mustafa

Publisher

European Journal of Science and Technology

Reference50 articles.

1. Alameer, Z., Abd Elaziz, M., Ewees, A. A., Ye, H., & Jianhua, Z. (2019). Forecasting gold price fluctuations using improved multilayer perceptron neural network and whale optimization algorithm. Resources Policy, 61, 250-260.

2. Alpay, Ö. (2020). LSTM Mimarisi Kullanarak USD/TRY Fiyat Tahmini. Avrupa Bilim ve Teknoloji Dergisi, Ejosat Özel Sayı 2020 (ARACONF) , 452-456.

3. Aygun, B., Kabakcı Gunay, E. (2021). Comparison of Statistical and Machine Learning Algorithms for Forecasting Daily Bitcoin Returns . Avrupa Bilim ve Teknoloji Dergisi , (21) , 444-454.

4. Bank for International Settlements, Real Broad Effective Exchange Rate for United States [RBUSBIS], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/RBUSBIS, June 28, 2021.

5. Board of Governors of the Federal Reserve System (US), Effective Federal Funds Rate [FEDFUNDS], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/FEDFUNDS, June 28, 2021

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