Cryptocurrency Price Prediction using Time Series Forecasting (ARIMA)

Cryptocurrency is a tangible or digital currency protected with the help of Cryptography, making it almost impossible to counterfeit or double. Many cryptocurrency networks are categorized primarily based on blockchain technology. The present socio-economic situation also creates an environment for people to hold less cash and remain marginalized by the market trends. The objective of the project is to build a profitable Machine Learning prediction model. We begin by collecting the data from Yahoo Finance website using inbuilt python libraries. Our objective was to perform price prediction of various Cryptocurrencies using Machine Learning, and we have implemented the Autoregressive Integrated Moving Average (ARIMA) Model. We have performed feature engineering on various set of lagged values, on previous day, one for 7 days and another looking back for 30 days. We have forecasted the outcome of the model and plotted the outcome in a responsive chart using Plot graph.