Next-Day Bitcoin Price Forecast Based on Artificial intelligence Methods
This addresses price prediction for Bitcoin investors, but appears incremental as it combines existing methods without claiming major breakthroughs.
The paper tackled next-day Bitcoin price forecasting by combining Ensemble Empirical Mode Decomposition (EEMD) with LSTM, but no concrete accuracy numbers or results were provided in the abstract.
In recent years, Bitcoin price prediction has attracted the interest of researchers and investors. However, the accuracy of previous studies is not well enough. Machine learning and deep learning methods have been proved to have strong prediction ability in this area. This paper proposed a method combined with Ensemble Empirical Mode Decomposition (EEMD) and a deep learning method called long short-term memory (LSTM) to research the problem of next-day Bitcoin price forecast.