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Adaptive Moving Average (AMA) – indicator MetaTrader 5

Adaptive Moving Average (AMA) - indicator for MetaTrader 5

Adaptive Moving Average (AMA) is used for constructing a moving average with low sensitivity to price series noises and is characterized by the minimal lag for trend detection. This indicator was developed and described by Perry Kaufman in his book “Smarter Trading”. One of disadvantages of different smoothing algorithms for price series is that accidental

The class for drawing the AMA using the ring buffer – indicator MetaTrader 5

The class for drawing the AMA using the ring buffer - indicator for MetaTrader 5

Description The CAMAOnRingBuffer class is designed for calculation of the technical indicator Adaptive Moving Average (Adaptive Moving Average, AMA) using the algorithm of the ring buffer. Declaration class CAMAOnRingBuffer : public CArrayRing Title #include <IncOnRingBuffer\CAMAOnRingBuffer.mqh> File of the CAMAOnRingBuffer.mqh class must be placed in the IncOnRingBuffer folder that need to be established in MQL5\Include\. Two files with

AMA Slow Trend Line – indicator MetaTrader 5

Real author: MetaQuotes An MA using Perry Kaufmann’s Adaptive Moving Average. The original indicator was developed in the MQL4 language and published in the CodeBase on 07.08.2006. Figure 1. The AMA_STL indicator AMA Slow Trend Line – indicator MetaTrader 5

Kaufman’s AMA from wellx – indicator MetaTrader 4

Kaufman's AMA from wellx - indicator for MetaTrader 4

The code was prepared back in 2005. Unlike the original, the smoothing ratio here is raised to power. The power value is set by the G external variable (the default value is 2, like in the original). Several people challenged the authorship of this value, though it is not of much significance here.The main advantage

AMA STL Color MetaTrader 5 – indicator MetaTrader 5

AMA STL Color MetaTrader 5 - indicator for MetaTrader 5

The indicator is displayed on a chart as a two-color line. If the current indicator value is lower than its previous value, the indicator line is red. If the current indicator value is higher than its previous value, the indicator line is blue. Also the indicator includes a filter allowing to smooth the market noise.

Kaufman AMA MACD – indicator MetaTrader 5

Kaufman AMA MACD - indicator for MetaTrader 5

Adaptive Moving Average (AMA) technical indicator is used for constructing a Moving Average with low sensitivity to price series’ noises and is characterized by the minimal lag for trend detection. This indicator was developed and described by Perry Kaufman in his book “Smarter Trading”. Maybe what is strange when Kaufman AMA is concerned, is that

Kaufman AMA with filter – indicator MetaTrader 5

Kaufman AMA with filter - indicator for MetaTrader 5

Adaptive Moving Average (AMA) technical indicator is used for constructing a Moving Average with low sensitivity to price series noises and is characterized by the minimal lag for trend detection. This indicator was developed and described by Perry Kaufman in his book “Smarter Trading”. The AMA is used as a replacement of ordinary Moving Averages

AMA Histogram – indicator MetaTrader 5

AMA Histogram is an indicator that shows the difference of a Close price and iAMA (Adaptive Moving Average, AMA) indicator value as a histogram. AMA Histogram – indicator MetaTrader 5

AMA three timeframes – indicator MetaTrader 5

The indicator is displayed using three horizontal lines of iAMA (Adaptive Moving Average, AMA) indicator from three different timeframes. The settings allow you to select from three timeframes: HLine – display only as horizontal lines (OBJ_HLINE); Arrow – display only by right price labels (OBJ_ARROW_RIGHT_PRICE); HLine and Arrow – horizontal lines and right price labels

AMA Histogram Normalize – indicator MetaTrader 5

Version of the AMA Histogram indicator. Normalize iAMA indicator parameters is added. Two options are available for it: Digits() – data from iAMA are taken with usual accuracy; Digits()-1 – more rough indicator data is taken. What are possible Digits()-1 applications? For example, if you want to avoid small noise and catch only significant changes