This is a time series analysis of bitcoin historical data.
The dataset is of 2587 rows and 7 columns
I have tried to build a model which can predict the future closing price of the bitcoin.
Table of contents -
- Simple Moving Average
- Simple Exponential Smoothing
- Holt method for exponential smoothing
- Decomposition and Stationarity Check
- ADFULLER TEST FOR STATIONARITY
- Auto regression using ACF and PACF
- Making the series Stationary
- Lets decompose the log time series to double check whether the time series is stationary
- Taking the results back to its original scale