GMMA

GMMA

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Daryl Guppy is a professional trader and author of “Trend Trading”, “Trading Tactics” and “Better Stock Trading: Money and Risk Management”. He leads seminars on trading in Australia, Asia, China and USA.

Guppy Multiple Moving Average (GMMA) is an indicator based on the relationships between groups of moving averages. Each group of moving averages in GMMA indicator provides insight into the behavior of two dominant market groups – traders and investors. This indicator allows a trader to understand market relationships shown on the chart and thus choose the most appropriate trading methods and tools. GMMA indicator is designed to understand the nature of the trend movement on a daily or intraday basis.

Implied traders activity is tracked by using a group of short-term moving averages. Traders always start a trend change. Their actions push prices upwards in anticipation of a trend change from downward to upward one. Their activity is displayed in a group of 3-, 5-, 8-, 10-, 12- and 15-period exponential moving averages.

The trend continues, only if other buyers also enter the market. Strong trends are supported by long-term investors. Investors require more time to recognize a trend change, but they always follow the traders. We track the implied investors activity, using a group of long-term moving averages. This group includes 30-, 35-, 40-, 45-, 50- and 60-period exponential moving averages.

GMMA indicator used in six trading situations:

  1. Standard trend breakouts;
  2. Joining the trend;
  3. Using price weakness;
  4. Rally and trend brekout;
  5. Choosing the best output;
  6. Trading bubbles.

Smoothing algorithms can be selected out of ten possible versions:

  1. SMA – simple moving average;
  2. EMA – exponential moving average;
  3. SMMA – smoothed moving average;
  4. LWMA – linear weighted moving average;
  5. JJMA – JMA adaptive average;
  6. JurX – ultralinear smoothing;
  7. ParMA – parabolic smoothing;
  8. T3 – Tillson’s multiple exponential smoothing;
  9. VIDYA – smoothing with the use of Tushar Chande’s algorithm;
  10. AMA – smoothing with the use of Perry Kaufman’s algorithm.

It should be noted that Phase1 and Phase2 parameters have completely different meaning for different smoothing algorithms. For JMA it is an external Phase variable changing from -100 to +100. For T3 it is a smoothing ratio multiplied by 100 for better visualization, for VIDYA it is a CMO oscillator period and for AMA it is a slow EMA period. In other algorithms these parameters do not affect smoothing. For AMA fast EMA period is a fixed value and is equal to 2 by default. The ratio of raising to the power is also equal to 2 for AMA.

The indicator uses SmoothAlgorithms.mqh library classes (must be copied to the terminal_data_folder\MQL5\Include). The use of the classes was thoroughly described in the article “Averaging Price Series for Intermediate Calculations Without Using Additional Buffers”.

 

MT5 Indicator – Download Instructions

GMMA is a Metatrader 5 (MT5) indicator and the essence of the forex indicator is to transform the accumulated history data.

GMMA provides for an opportunity to detect various peculiarities and patterns in price dynamics which are invisible to the naked eye.

Based on this information, traders can assume further price movement and adjust their strategy accordingly.

How to install GMMA.mq5?

  • Download GMMA.mq5
  • Copy GMMA.mq5 to your Metatrader Directory / experts / indicators /
  • Start or restart your Metatrader 5 Client
  • Select Chart and Timeframe where you want to test your indicator
  • Search “Custom Indicators” in your Navigator mostly left in your Metatrader 5 Client
  • Right click on GMMA.mq5
  • Attach to a chart
  • Modify settings or press ok
  • Indicator GMMA.mq5 is available on your Chart

How to remove GMMA.mq5 from your Metatrader 5 Chart?

  • Select the Chart where is the Indicator running in your Metatrader Client
  • Right click into the Chart
  • “Indicators list”
  • Select the Indicator and delete

Click here below to download MT5 Indicator:

GMMA

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