Kaufman Adaptive Moving Average (KAMA)
Description
KAMA, Kaufman Adaptive Moving Average is used to smooth out price data and reduce the lag that is inherent in other moving averages. Developed by Perry Kaufman, it's based on the concept of "adaptive moving average," which means that it adjusts to the volatility of the market.
Calculate KAMA, input three parameters: the number of periods for the average, the fast efficiency factor (EF), and the slow efficiency factor (ES). The KAMA is calculated using a complex formula that takes into account the price data and the efficiency factors.
KAMA is used to identify trends, if the price is above the KAMA, it may indicate an uptrend, while if the price is below the KAMA, it may indicate a downtrend. Use the KAMA in combination with our other tools to make informed decisions.
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