Time Series Forecast

The Time Series Forecast is used to predict price movements. It consists of linear regression measurements using the “Least Squares Method.”

This indicator “Fits” the trend line to the data in the chart by minimizing the distance between data points and the linear regression trend line.

It gives off the same signals as a moving average. When the stock price crosses above the time series forecast line it is said to be a bullish signal. When it crosses below the line it is said to be a bearish signal.

1. It has much less delay when adjusting to price changes because it “fits” price rather then takes the average.

2. It estimates the next periods price that is based on the trend over a specific period of time.