This article attempts to project the potential Bitcoin spot price prediction using algorithmic prediction and data analysis methods, such as Autoregressive Integrated Moving Average (ARIMA) and Long Short Term Memory (LSTM). ARIMA assumes a linear relationship between past data points and future values, while LSTM can detect nonlinear patterns and apply them to predict future prices. Both models can be used to make predictions about the future price of Bitcoin Cash (BCH).
