Linear Regression Intercept
Linear regression is a statistical tool used to predict the future from past data.The Linear Regression Intercept calculates a best fitted line to the market price, using the "least squared fit" method.
Why should I use it?
The Linear Regression Intercept is similar to a moving average in the way it looks and the way it is used. However it has a few advantages over a Moving Average.Since it not represent by an average line, but rather a statistically fitted line, it is more responsive to immediate market movements. Further more, a regression line is attempting to forecast the future, while an average line is merely pointing out the current average price of the last x periods of time.
That is, the Linear Regression Intercept is more predictive in its qualities than a moving average.
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