One of the most well-known and valuable
cryptocurrencies in the present financial market is
bitcoin, which attracts investors and thus creates new
research opportunities for scientists. Numerous studies
using various machine learning prediction methods have
been conducted on predictingBitcoin prices. In order to
conduct the study, important features from a dataset
with a high connection to Bitcoin prices are gathered,
and then random data chunks are chosen to train and
test the model. The accuracy of price predictions may be
lowered due to unfitting results caused by the random
data that was chosen for model training. Here, a good
training procedure for a prediction model is under
examination. The simple Long Short-Term Memory
(LSTM) model is then trained using the suggested
methods to forecast the price of bitcoin. The price of
bitcoin for the next five days. Sustainable outcomes for
the prediction are discovered when the LSTM model is
trained with an appropriate data chunk, which has been
identified. Future advancements are the work's climax in
this paper's conclusion. [5]
Keywords :
Bitcoin, Cryptocurrency, Machine Learning, Price Prediction, LSTM.