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This episode looks at how and why the calculation of the Kaufman Adaptive Moving Average KAMA indicator works. This helps with an understanding of the advantages that adaptive indicators like this can have over standard static indicators. Because the formula uses the Kaufman Efficiency Ratio to adjust its parameters this means it can help to negate the effects of noise on trend following systems. The Kaufman adaptive moving average does this using an ingenious technique to speed up or slow down the moving average periods, based on what's required to avoid the effects of noise. Brought to you by Darwinex: UK FCA Regulated Broker, Asset Manager & Trader Exchange where Traders can legally attract Investor Capital and charge Performance Fees: https://www.darwinex.com/?utm_source=... Follow Darwinex on LinkedIn: / tradeslide-ventures #KAMACalculation, #KAMAFormula, #KaufmanAdaptiveMovingAverageCalculation, #EfficiencyRatio, #SmoothingConstant, #IndicatorPeriods, #KAMA, #MovingAverage, #TechnicalIndicators, #PerryKaufman, #Darwinex This is Episode 100 in the Darwinex 'Algo Trading for a Living' Playlist, and Episode 20 of the 'Market Noise' mini-series. Video Contents: 00:00 Introduction 00:51 Why Darwinex? 01:46 The KAMA Indicator Calculation 04:16 The Smoothing Constant 04:58 The Efficiency Ratio 07:18 Behaviour of KAMA 07:37 Adjusting the Kaufman Adaptive Moving Average 10:03 Noise Indicator Package 10:48 Summary Content Disclaimer: Past performance is not a reliable indicator of future results. The contents of this video (and all other videos by the presenter) are for educational purposes only and are not to be construed as financial and/or investment advice. Risk disclosure: https://www.darwinex.com/legal/risk-d...