This repo contains time series forecasting on the stocks of Tesla company for the next 60 days based on the data of 3 years .
The python notebook shared uses the concept of classical ML models like ARIMA ,SARIMA and auto ARIMA to achieve accurate forecasting . This is a univariate time series forecasting , therefore only closing price is used to forecast.
some visuals and insights from the notebook:
Plot of closing price .
Density plot of closing price.
Data smoothening:
Train and test splitting of data:
Forecast on Test data:
Forecast on next 60 days
