[blackcat] L1 Guppy Multiple Moving Average (GMMA)

2023年9月5日

Guppy Multiple Moving Average (GMMA) is a widely used technical analysis tool that can help traders identify price trends, determine entry and exit points, and identify signals of price reversal. The inventor of GMMA is Daryl Guppy, an Australian trader and technical analyst who developed this technical analysis tool in the late 1980s and early 1990s. GMMA is based on multiple moving averages (MA), including short-term and long-term moving averages (EMA). The short-term MA group consists of 6 MAs, and the long-term MA group also consists of 6 MAs. These MAs are grouped by color to make them easy to identify.

The basic principle of GMMA is that when prices are in an uptrend, the short-term MA group will be above the long-term MA group, and when prices are in a downtrend, the short-term MA group will be below the long-term MA group. The cross of the short-term MA group and the long-term MA group can help traders determine the direction and strength of the price trend. When the short-term MA group crosses and rises, traders can choose to enter the market, and when the short-term MA group crosses and falls, they can choose to exit the market. In addition, GMMA can also help traders identify signals of price reversal. When prices are in an uptrend, if the short-term MA group starts to cross down, this may be a signal of price reversal. Conversely, when prices are in a downtrend, if the short-term MA group starts to cross up, it may be a signal of price reversal.

The advantages of GMMA are that it can help traders identify price trends and signals of price reversal, thereby determining entry and exit points. In addition, the way GMMA is plotted makes the difference between the short-term and long-term MA groups more obvious, making it easy to identify. However, GMMA also has some disadvantages. For example, it can only provide limited information and cannot predict future price trends. In addition, GMMA needs to be combined with other technical indicators and fundamental analysis for trading decisions.

Overall, Guppy Multiple Moving Average (GMMA) is a powerful technical analysis tool that can help traders identify price trends, determine entry and exit points, and identify signals of price reversal. If traders can use GMMA correctly and combine it with other technical indicators and fundamental analysis, they can achieve better trading results.

2023年9月6日

發行說明

upgrade to v5

4月25日

發行說明

OVERVIEW
The [blackcat] L1 Guppy Multiple Moving Average (GMMA) indicator is designed to help traders analyze market trends using multiple Exponential Moving Averages (EMAs). By plotting both fast and slow EMAs on the same chart, this indicator provides a comprehensive view of short-term and long-term price movements. It aids in identifying potential trend changes and confirming existing trends, making it a valuable tool for technical analysis 📈💹.

FEATURES

Calculates and plots six fast EMAs:
Fast EMA 3: Yellow line.
Fast EMA 5: Orange line.
Fast EMA 8: Red line.
Fast EMA 10: Maroon line.
Fast EMA 12: Purple line.
Fast EMA 15: Blue line.
Calculates and plots six slow EMAs:
Slow EMA 30: Light blue line.
Slow EMA 35: Dark gray line.
Slow EMA 40: Gray line.
Slow EMA 45: Brown line.
Slow EMA 50: Pink line.
Slow EMA 60: Aqua line.
Provides clear visualization of short-term and long-term trends 📊
Helps identify potential trend changes and confirmations through crossover events between different EMAs.
HOW TO USE

Add the indicator to your TradingView chart by selecting it from the indicators list.
Observe the plotted fast and slow EMAs on the chart to analyze short-term and long-term trends.
Look for crossovers between different EMAs to identify potential trend changes.
Combine this indicator with other tools for confirmation before making trading decisions.
LIMITATIONS

The indicator relies heavily on moving averages, which might lag behind actual price action.
False signals can occur in choppy or sideways markets 🌪️.
Users should always confirm signals with other forms of analysis.
NOTES

Ensure that you have sufficient historical data available for accurate calculations.
Test the indicator thoroughly on demo accounts before applying it to live trading 🔍.
Customize the appearance and parameters as needed to fit your trading strategy.