Evaluating GRU Algorithm and Double Moving Average for Predicting USDT Prices: A Case Study 2017-2024

Evaluating GRU Algorithm and Double Moving Average for Predicting USDT Prices: A Case Study 2017-2024

The cryptocurrency market is highly volatile, requiring advanced analytical methods for accurate price forecasting. This study evaluates the effectiveness of Gated Recurrent Units (GRU) and Double Moving Average (DMA) in predicting USDT (Tether Coin) prices using historical data from 2017 to 2024, s...

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Bibliographic Details
Main Authors:	RAHMAT, Munirul ula, Zara Yunizar
Format:	Article
Language:	English
Published:	LPPM ISB Atma Luhur 2025-01-01
Series:	Jurnal Sisfokom
Subjects:	cryptocurrency forecasting historical data jupyter notebook
Online Access:	https://jurnal.atmaluhur.ac.id/index.php/sisfokom/article/view/2328
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