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Category: Average
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Sales and Support: 022 - 4091 8900
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Study Name -
ADAPTIVE MOVING AVERAGE (AMA)
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Description
- AMA has been created to counter the weaknesses of Moving Averages
- AMA works as potent tool combining advantages of SMA and EMA
- Perry Kaufman invented the idea of replacing the variable 'weight' in EMA with a constant 'Efficiency Ratio' (ER) i.e. a volatility ratio. This would prevent you from getting false signals. Thus the AMA is sensitive, like the EMA, when the price moves in a stable direction whereas it becomes insensitive, like the SMA, when the price shows too much volatility
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Interpretation
- The price is in a perfect uptrend when the ER ratio is (+1) and in a perfect downtrend when the ER ratio is
(-1). However, these extremes rarely take place
- Upward crossover of price over AMA is a positive crossover wherein a Buy trade can be executed
- Downward crossover of price over AMA is a negative crossover wherein a Sell trade can be executed
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Default Parameters Used/Inputs
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- Calculated Period- number of bars for which AMA should be calculated
- Fast Period: Number of bars for Fast Average, to be used in AMA calculation
- Slow Period: Number of bars for Slow Average, to be used in AMA calculation
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Returns/Output
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AMA graph line showing trend with reduced volatility impact
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Formula
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AMA = ( w* Close) + ((1-w) * AMAprevious)
Or
AMA = AMAprevious + w(Close - AMAprevious)
W = [(ER * (SCF – SCS)) + SCS]2
Where,
ER = Absolute price change for a period/ Sum Absolute each day price changes for a period
SCF (Slow Constant Smoothing) = 2 / ( n + 1)
SCS (Fast Constant Smoothing) = 2 / ( n + 1)
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, Andheri (W),Mumbai - 400053
Sales and Support: 022 - 4091 8900
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