Дослідження вивчає проблему моделювання та прогнозування цінової динаміки криптовалют. Ми залучаємо методи машинного навчання для прогнозування ціни криптовалюти. Для реалізації дослідження обрано модель на основі часових рядів FB Prophet та рекурентну нейронну мережу LSTM. На прикладі даних Binance (найпопулярнішої біржі в Україні) за період з 06.07.2020 по 01.04.2023 змодельовано та спрогнозовано ціни на Bitcoin, Ethereum, Ripple, Dogecoin. Рекурентна нейронна мережа довготривалої пам’яті показала значно кращі результати у прогнозуванні за критеріями RMSE, MAE, MAPE, у порівнянні з Naïve моделлю, традиційною моделлю ARIMA, а також результатами FB Prophet.
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