– Proposed web system for cryptocurrency analysis and forecasting
– Use of LSTM and ARIMA for forecasting
– Proposal of a web system for statistical analysis and forecasting of cryptocurrencies.
– Focus on Bitcoin, Ethereum, Dogecoin, and Shiba Inu for analysis and comparison.
The paper discusses cryptocurrency trading as one of the most prevalent and capable types of lucrative investments due to the extreme volatility and quick price changes in the crypto market.
– Extreme volatility and quick price changes in the cryptocurrency market.
– Overfitting and computing costs in fully-connected deep neural networks.
– Analysis and comparison using python libraries and modules
– Forecasting using LSTM and ARIMA
– Provides a web system for statistical analysis and forecasting of cryptocurrencies.
– Focuses on Bitcoin, Ethereum, Dogecoin, and Shiba Inu for analysis and comparison.
– Proposed web system for cryptocurrency analysis and forecasting
– Focus on Bitcoin, Ethereum, Dogecoin, and Shiba Inu
– Cryptocurrencies are widely used and considered lucrative investments.
– The paper proposes a web system for cryptocurrency analysis and forecasting.
– Cryptocurrencies are widely used and considered as lucrative investments.
– The paper proposes a web system for statistical analysis and forecasting of cryptocurrencies.