AMA
|
Moving averages, summation |
SYNTAX | ama( ARRAY, SMOOTHINGFACTOR ) |
RETURNS | ARRAY |
FUNCTION | calculates adaptive moving average - simliar to EMA() but smoothing factor could be time-variant (array). |
EXAMPLE |
The example of volatility-weighted adaptive moving average formula:
graph0 = ema( close, 15 ); fast = 2/(2+1); slow = 2/(30+1); dir=abs(close-ref(close,-10)); vol=sum(abs(close-ref(close,-1)),10); ER=dir/vol; sc =( ER*(fast-slow)+slow)^2; graph0 = ama( close, sc ); |
SEE ALSO |
Tomasz Janeczko 2006-04-26 20:13:15 | output = AMA( input, factor ) is equivalent to the following looping code: for( i = 1; i < BarCount; i++ ) { output[ i ] = factor[ i ] * input[ i ] + ( 1 - factor[ i ] ) * output[ i - 1 ]; } |
The AMA function is used in the following formulas in AFL on-line library:
See updated/extended version on-line.