vawma(len, src, volumeDefault) VAWMA = VWMA and WMA combined. Simply put, this attempts to determine the average price per share over time weighted heavier for recent values. Uses a triangular algorithm to taper off values in the past (same as WMA does). Parameters: len: The number of bars to measure with. src: The series to measure from. Default is 'hlc3'. volumeDefault: The default value to use when a chart has no (N/A) volume. Returns: The volume adjusted triangular weighted moving average of the series.
cma(n, D, C, compound) Coefficient Moving Avereage (CMA) is a variation of a moving average that can simulate SMA or WMA with the advantage of previous data. Parameters: n: The number of bars to measure with. D: The series to measure from. Default is 'close'. C: The coefficient to use when averaging. 0 behaves like SMA, 1 behaves like WMA. compound: When true (default is false) will use a compounding method for weighting the average.
ema(len, src) Same as ta.ema(src,len) but properly ignores NA values. Parameters: len: The number of samples to derive the average from. src: The series to measure from. Default is 'close'.
wma(len, src, startingWeight) Same as ta.wma(src,len) but properly ignores NA values. Parameters: len: The number of samples to derive the average from. src: The series to measure from. Default is 'close'. startingWeight: The weight to begin with when calculating the average. Higher numbers will decrease the bias.
vwma(len, src, volumeDefault) Same as ta.vwma(src,len) but properly ignores NA values. Parameters: len: The number of bars to measure with. src: The series to measure from. Default is 'hlc3'. volumeDefault: The default value to use when a chart has no (N/A) volume.
get(type, len, src) Generates a moving average based upon a 'type'. Parameters: type: The type of moving average to generate. Values allowed are: SMA, EMA, WMA, VWMA and VAWMA. len: The number of bars to measure with. src: The series to measure from. Default is 'close'. Returns: The moving average series requested.
I really like the way you calculate the WMA :)
Awesome work , Good luck friend