Guppy Multiple Moving Average (GMMA)
Last updated
Last updated
The Guppy Multiple Moving Average (GMMA) is a trend-following technical indicator developed by Australian trader Daryl Guppy. It uses a combination of multiple exponential moving averages (EMAs) to analyze the strength and direction of a market trend. What sets GMMA apart is that it splits these EMAs into two distinct groups — short-term and long-term — to identify not just the trend, but also the behavior of different market participants.
GMMA is a powerful visual tool that helps traders interpret the relationship between short-term traders and long-term investors, offering insight into trend strength, potential reversals, and optimal entry/exit points.
The GMMA consists of 12 EMAs, divided into two groups:
Short-term EMAs (fast group):
3, 5, 8, 10, 12, and 15 periods
These represent short-term traders and speculators.
Long-term EMAs (slow group):
30, 35, 40, 45, 50, and 60 periods
These represent long-term investors and institutions.
By observing how these two groups behave relative to each other — in terms of convergence, divergence, and crossovers — traders can get a detailed view of market sentiment and possible trend developments.
Reading the GMMA is all about interpreting the spacing and interaction between the two groups of EMAs:
Wide separation in both groups: A strong, established trend is present.
Narrow spacing in short-term EMAs: Consolidation or uncertainty among short-term traders.
Short-term EMAs cross long-term EMAs: Possible trend reversal or breakout.
Compression of all EMAs: Low volatility or preparation for a major move.
The key is in observing how quickly the short-term EMAs react compared to the slow-moving long-term group.
The classic Guppy settings include:
Short-term EMAs: 3, 5, 8, 10, 12, 15
Long-term EMAs: 30, 35, 40, 45, 50, 60
These settings work well across different markets and timeframes, including crypto, forex, and stocks. However, traders can adjust the lengths slightly depending on their strategy and market volatility.
Here’s how traders commonly use GMMA in practice:
Trend Confirmation If both groups are sloping in the same direction with clear separation, this confirms a strong trend. Traders can open positions in the direction of the trend.
Entry Signals When short-term EMAs cross above the long-term EMAs and expand — this signals a potential long (buy) entry. The opposite signals a short (sell) setup.
Exit or Caution Zones If the short-term EMAs begin to converge or move sideways within the long-term group, it could indicate weakening momentum — time to reduce risk or exit.
Avoiding Fakeouts The long-term EMAs act as a trend filter. If short-term EMAs briefly cross but long-term EMAs stay flat, the breakout may not be reliable.
Combining with Price Action or Indicators GMMA works well with tools like RSI, MACD, or support/resistance zones for additional confirmation.
Some mistakes to watch out for when using GMMA:
Trading during sideways markets When both groups of EMAs are entangled, trends are weak or non-existent. Avoid trading during such periods.
Forcing signals Not every crossover means a trend reversal. Wait for expansion between the EMAs after a crossover for confirmation.
Ignoring overall market structure GMMA is most effective when combined with higher timeframe analysis and market context.
Not adjusting to volatility In highly volatile markets like crypto, short-term EMAs may give false signals if not paired with proper risk management.
The Guppy Multiple Moving Average is more than just a collection of EMAs — it’s a visual story of market dynamics between short-term and long-term participants. It offers a multi-layered view of trends, helping traders better time their entries, avoid traps, and manage their trades with greater precision.
By observing how traders and investors are interacting, GMMA gives you a strategic edge in volatile and trending markets alike.
Whether you’re trading Bitcoin, forex, or indices on VOOI, the GMMA is a valuable addition to your technical toolbox.
