Cryptocurrency Analysis and Forecasting

– Proposed web system for cryptocurrency 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 .

The paper discusses cryptocurrency as one of the most prevalent and capable types of lucrative investments due to the extreme volatility and quick price changes in the 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 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.

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