| Abstrakt: |
Cryptocurrency is digital money introduced to share or transfer digitally using cryptographic security algorithms like (SHA-256) and (MD5). The value of cryptocurrencies is unstable, fluctuates according to stochastic moments, and has reached an unpredictably high level. Many researchers have used deep learning, machine learning, and other market sentiment-based algorithms to estimate the price of cryptocurrencies. Because all cryptocurrencies fall beneath the identical category, an increase in a single cryptocurrency's rate may additionally bring about an exchange inside the fee of other cryptocurrencies. To improve the efficiency of the suggested system, researchers have also captured the opinions/sentiments expressed on social media sites like Twitter and others. Considering the target coin's dependency on other cryptocurrencies and market sentiment, we have used a reliable hybrid framework in this study to forecast cryptocurrency prices. We took into account the Dash price forecast utilizing cost history and tweets for Litecoin, Bitcoin, and Dash, as well as multiple loss algorithms for confirmation. [ABSTRACT FROM AUTHOR] |
