Where missing values existed in the data they have been replaced with the most recent existing price.
The plot shown is from the start of 2012 until yesterday.
Forecast View
The forecast view is constructed using the auto.arima() function which selects the best autoregressive integrated moving average (ARIMA) model to the timeseries
Timeseries Decomposition
The time series decomposition shows the data broken down into 3 seperate components: Seasonal, trend and irregular using moving averages.
The time series decomposition requires at least 3 years worth of data to calculate.
