Guppy Multiple Moving Average (GMMA)

Two bands of six EMAs each — a fast group and a slow group — read for separation, compression, and agreement between short and long lookbacks.

What it is

The Guppy Multiple Moving Average, developed by Australian trader Daryl Guppy, plots twelve exponential moving averages arranged in two fixed groups: a short-term group at lengths 3, 5, 8, 10, 12, and 15, and a long-term group at 30, 35, 40, 45, 50, and 60. Guppy's framing labels the short group as reflecting 'trader' activity and the long group 'investor' activity. That is a metaphor, and it is honest to say so: the lines have no knowledge of who is trading — both groups are just EMAs of the same price series at different lookbacks, and the trader/investor story is an interpretive overlay, not a measurement of participant behaviour. What the GMMA genuinely displays is the relationship between short-lookback and long-lookback views of the same past prices: how far apart they are, how internally agreed each group is, and which side of the other each group sits on. Like every moving-average construction it is descriptive and lagging — it summarizes what price has already done and predicts nothing. This is educational content, not financial advice, and trading involves risk of loss.

How it works

All twelve lines are standard EMAs computed identically except for length. The short group (3–15) reacts within a few bars of a price change; the long group (30–60) needs sustained movement over many bars to shift. Two properties then carry the information. First, within-group spread: when the six lines of a group compress into a tight band, recent price movement has been small relative to that group's lookbacks; when they fan apart, price has been moving directionally fast enough for the different lengths to disagree. Second, between-group relationship: the short group crossing and separating from the long group means recent price has moved decisively away from its longer-run average — an event that, because the slowest line is a 60-period EMA, is only visible well after the move began. Everything the GMMA shows is therefore a re-expression of past price at twelve lags. That is not a criticism so much as an accurate description: the tool's value, where it has any, is making the degree of agreement between timescales visible at a glance, and its cost is the lag inherent in every one of its components.

How traders read it

• Group separation: the short group holding clearly above a rising long group with visible daylight between them describes an established uptrend (mirror for downtrends) — established meaning already old enough for a 60-period EMA to reflect it.
• Short-group compression and snap-back: in a trend, the fast group repeatedly compressing toward the slow group and re-expanding in the trend direction is often read as pullback-and-resumption behaviour; it is a description of what happened, not a forecast that it repeats.
• Long-group compression: the slow band tightening is read by GMMA users as long-lookback averages losing directional agreement; direction of any resolution is not implied.
• Group crossovers: the entire short group crossing the long group is a heavily lagged event — by construction much of the move that caused it has already occurred, so treat it as trend description, not entry timing.
• Interweaving everywhere: when both groups tangle together, the market has been ranging and every GMMA reading will flip repeatedly — the chart is telling you the tool has nothing to describe.
• Any reading should sit alongside price structure and defined risk; twelve lagging lines do not substitute for a plan.

Common settings

The canonical configuration is fixed: EMAs of 3, 5, 8, 10, 12, 15 (short group) and 30, 35, 40, 45, 50, 60 (long group) on the close. These specific values are Guppy's convention rather than anything derived — nearby values produce similar pictures. Some platforms allow SMA substitution or custom lengths, which changes every reading, so state exactly what you use when comparing results.

Strengths

• Makes agreement and disagreement between short and long lookbacks visible in one glance, which is the honest core of what it offers.
• Fixed, published lengths make it fully deterministic and easy to reproduce identically across platforms.
• Within-group spread doubles as a rough visual volatility read for each timescale.
• The two-band structure conveys trend maturity more legibly than a single fast/slow crossover pair.
• Simple to implement and verify — twelve standard EMAs with no hidden smoothing or proprietary steps.

Pitfalls to watch

• The trader/investor narrative is a metaphor: EMAs cannot see market participants, and no evidence ties the short group to 'traders' or the long group to 'investors' — both are lags of the same price series.
• Heavy lag on the signals people actually watch: full group crossovers involve EMAs up to length 60 and confirm long after moves begin.
• Twelve lines, little independent information: the lines are strongly correlated by construction, so the apparent weight of evidence is visual, not statistical.
• Whipsaw in ranges: sideways markets tangle both groups and generate repeated false expansions and crossings.
• Compression/expansion readings are descriptive only — compression does not predict a breakout, and expansion does not predict continuation.
• No predictive power: like every moving-average tool it summarizes the past; nothing about it removes the risk of loss.

Pine v6 example

//@version=6
indicator("GMMA Example", overlay = true)

src = input.source(close, "Source")

// Short-term group (Guppy's fixed lengths)
s1 = ta.ema(src, 3)
s2 = ta.ema(src, 5)
s3 = ta.ema(src, 8)
s4 = ta.ema(src, 10)
s5 = ta.ema(src, 12)
s6 = ta.ema(src, 15)

// Long-term group
l1 = ta.ema(src, 30)
l2 = ta.ema(src, 35)
l3 = ta.ema(src, 40)
l4 = ta.ema(src, 45)
l5 = ta.ema(src, 50)
l6 = ta.ema(src, 60)

plot(s1, "EMA 3",  color = color.new(color.teal, 20))
plot(s2, "EMA 5",  color = color.new(color.teal, 20))
plot(s3, "EMA 8",  color = color.new(color.teal, 20))
plot(s4, "EMA 10", color = color.new(color.teal, 20))
plot(s5, "EMA 12", color = color.new(color.teal, 20))
plot(s6, "EMA 15", color = color.new(color.teal, 20))
plot(l1, "EMA 30", color = color.new(color.red, 20))
plot(l2, "EMA 35", color = color.new(color.red, 20))
plot(l3, "EMA 40", color = color.new(color.red, 20))
plot(l4, "EMA 45", color = color.new(color.red, 20))
plot(l5, "EMA 50", color = color.new(color.red, 20))
plot(l6, "EMA 60", color = color.new(color.red, 20))

Pro tip: Read the GMMA as a timescale-agreement display and drop the trader-vs-investor story: the useful question it answers is 'do short and long lookbacks currently describe the same market?', and when both groups are tangled, the honest answer is no — at which point every GMMA reading should be heavily discounted. Educational context only: the GMMA describes past price at twelve lags, predicts nothing, and no indicator removes the risk of loss.

Educational only — not financial advice, not a recommendation to trade. No indicator is predictive; trading involves substantial risk of loss.