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Technical Analysis Scanners
Simple Moving Average
Overview
The Simple Moving Average is simply an average of values over a specified period of time.

Interpretation
A Moving Average is most often used to average values for a smoother representation of the underlying price or indicator.

SMA(Vector, Periods)



Exponential Moving Average
Overview
An Exponential Moving Average is similar to a Simple Moving Average. An EMA is calculated by applying a small percentage of the current value to the previous value, therefore an EMA applies more weight to recent values.

Interpretation
A Moving Average is most often used to average values for a smoother representation of the underlying price or indicator.

EMA(Vector, Periods)



Time Series Moving Average
Overview
A Time Series Moving Average is similar to a Simple Moving Average, except that values are derived from linear regression forecast values instead of regular values.

Interpretation
A Moving Average is most often used to average values for a smoother representation of the underlying price or indicator.

TSMA(Vector, Periods)



Variable Moving Average
Overview
A Variable Moving Average is similar to an exponential moving average except that it adjusts to volatility.

Interpretation
A Moving Average is most often used to average values for a smoother representation of the underlying price or indicator.

VMA(Vector, Periods)



Triangular Moving Average
Overview
The Triangular Moving Average is similar to a Simple Moving Average, except that more weight is given to the price in the middle of the moving average periods.

Interpretation
A Moving Average is most often used to average values for a smoother representation of the underlying price or indicator.

TMA(Vector, Periods)



Weighted Moving Average
Overview
A Weighted Moving Average places more weight on recent values and less weight on older values.

Interpretation
A Moving Average is most often used to average values for a smoother representation of the underlying price or indicator.

WMA(Vector, Periods)



Welles Wilder Smoothing (Moving Average)
Overview
The Welles Wilder's Smoothing indicator is similar to an exponential moving average. The indicator does not use the standard exponential moving average formula. Welles Wilder described 1/14 of today's value + 13/14 of yesterday's average as a 14-day exponential moving average.

Interpretation
This indicator is used in the manner that any other moving average would be used.

WWS(Vector, Periods)



Volatility Index Dynamic Average - VIDYA (Moving Average)
Overview
VIDYA (Volatility Index Dynamic Average), developed by Mr. Tuschar Chande, is a moving average derived from linear regression R2.

Interpretation
A Moving Average is most often used to average values for a smoother representation of the underlying price or indicator. Because VIDYA is a derivative of linear regression, it quickly adapts to volatility.

Parameters
R2Scale is a value specifying the R-Squared scale to use in the linear regression calculations. Mr. Chande recommends a value between 0.5 and 0.8 (default value is 0.65).

VIDYA(Vector, Periods, R2Scale)
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