Chart Patterns
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In short
A chart pattern is a named configuration of prior highs and lows that practitioners treat as a recurring shape.
Scope. This article describes the pattern vocabulary practitioners use and what the research has found about it. It does not teach pattern trading. No entry, exit, target or confirmation rule appears, no pattern is described as reliable or unreliable, and no backtested result is given. It is the second of the four-article technical cluster introduced in Technical Analysis: What It Is and What the Evidence Says.
The vocabulary is large, old and mostly inherited from the 1930s and 1940s, and it is the most visible part of technical analysis — the part that gets drawn on television.
It is also the part where the identification problem bites hardest, and that problem, rather than any question about whether prices trend, is the reason this material is difficult to evaluate.
The vocabulary practitioners use
Reversal shapes are read as marking the end of a move. The head and shoulders is three peaks with the middle one highest and the two outer ones roughly level, joined by a line drawn across the intervening troughs called the neckline. Double and triple tops and bottoms are two or three turns at roughly the same level. Rounding tops and bottoms are gradual curved transitions rather than sharp turns.
Continuation shapes are read as pauses within a move. Triangles come in three forms — ascending, with a level upper boundary and rising lows; descending, the mirror; and symmetrical, with both boundaries converging. Flags and pennants are short consolidations after a sharp move. Rectangles are sideways ranges between two roughly parallel boundaries. Wedges are converging boundaries that both slope the same way.
Gaps are discontinuities between one period's range and the next, and unlike the shapes above they are an observable fact about the data rather than an interpretation — a gap either exists in the series or it does not. Practitioners classify them by where in a move they occur.
Candlestick formations are a separate Japanese-derived vocabulary describing the relationship between open, high, low and close within one or a few periods, with names such as doji, hammer and engulfing.
Most of these shapes come with a measured objective — a convention for projecting a distance from the pattern, usually its own height, beyond the point where it completes. The convention has no derivation. It is a rule of thumb that entered the literature by repetition, and no article in this portal presents it as anything else.
The identification problem
Every pattern definition contains tolerances that the chartist supplies. How level is level, for two shoulders? How close is close, for a double top? Over what window does a peak count as a peak? Change any of those and the same chart yields a different inventory of patterns, and there is no authority that fixes them.
This is not a debating point raised by critics. It is the stated motivation for the most serious academic attempt to evaluate the subject: a 2000 study observed that the presence of geometric shapes in price charts is often in the eye of the beholder, and set out to remove the subjectivity by defining patterns algorithmically through nonparametric kernel regression before testing them. The subjectivity had to be engineered out before the question could even be asked.
What a series with no mechanism in it produces
The decisive question about any pattern is not whether it appears but how often it would appear anyway. That has a computable answer, and computing it is more informative than any amount of argument.
The test below generates 1,000 independent synthetic price paths of 250 trading days each, as driftless random walks with a daily standard deviation of 1.2%. Nothing in these series carries information about anything: each day's move is independent of every previous day. Swing points are identified as highs or lows over a five-day window on each side. A head and shoulders is counted when five consecutive alternating swing points form peak–trough–peak–trough–peak with the middle peak highest, the outer peaks within 3% of each other and the two troughs within 3% of each other. A double top is counted when two consecutive peaks sit within 2% of each other with an intervening trough at least 3% below.
| Pattern | Mean occurrences per 250-day path | Share of paths containing at least one |
|---|---|---|
| Head and shoulders | 1.00 | 66.7% |
| Double top | 3.30 | 96.8% |
Worked example
Worked example — the base rate of a pattern in pure noise. Two-thirds of one-year charts drawn from a process with no structure whatsoever contain at least one head and shoulders, and 97% contain at least one double top, with a double top appearing 3.3 times per chart on average. The presence of a pattern on a chart is therefore not evidence of anything by itself — it is the expected result of looking. What this does and does not establish: it establishes that pattern frequency cannot be the test, and that any claim must be about what follows the pattern relative to what follows at random. It does not establish that patterns are meaningless, and it is not a performance test — no return is measured here and MarketClue publishes no backtested results. (The counts depend on the swing window and tolerances chosen, which is the identification problem in miniature; different reasonable settings move the figures by a few tenths without changing the picture — the pattern is abundant in noise on any of them.)
Why the reference class is everything
The pattern literature is overwhelmingly illustrative, and illustrations are selected. A book showing thirty examples of a shape that preceded a reversal is showing thirty cases drawn from a population whose size is not disclosed. The denominator — how many times the shape appeared and was followed by nothing — is the entire question, and it is the thing an illustration cannot supply.
The same asymmetry operates in memory. A shape that was followed by a large move is memorable; the same shape followed by three weeks of drift is not, and it is not recorded anywhere. This is ordinary confirmation bias operating on a dataset with a very large number of opportunities to find shapes, which is the condition under which it does the most damage.
Worked example
The counterweight, stated as plainly as the criticism. When the reference-class problem is handled properly, some findings survive. The 2000 kernel-regression study compared the distribution of returns conditional on an automatically-detected pattern against the unconditional distribution across US stocks from 1962 to 1996, and concluded that several technical indicators do provide incremental information. Separately, work on foreign-exchange markets found predictive content in head-and-shoulders detection. These are peer-reviewed results in leading journals, and a reader who leaves this article believing that chart patterns have been shown to be worthless has taken away something the evidence does not support — just as one who leaves believing they have been shown to work has.
What survives of all this
Three things can be said without taking a side.
The shapes are descriptions of what already happened. A rectangle means the price went sideways between two levels; a triangle means the range narrowed. As descriptions these are accurate and sometimes useful shorthand — the range has been narrowing for six weeks is a fact about the chart, and it is a different statement from therefore it will break upward.
Some patterns describe order flow rather than geometry. Gaps are observable discontinuities, and the concentration of activity around prior turning points has a documented mechanism in at least one market, set out in Support and Resistance. Where a pattern names a real feature of how orders arrive, it is doing something different from naming a shape.
The definitional looseness is a property of the practice, not an accusation. Practitioners are generally explicit that identification requires judgement and that a pattern is not confirmed until it completes. The consequence is simply that the practice resists testing, which is why the literature took forty years to produce evidence either way.
Frequently asked
8 questions
What is a chart pattern?
A named configuration of prior highs and lows treated as a recurring shape. The vocabulary divides broadly into reversal shapes, continuation shapes, gaps and candlestick formations.
Do chart patterns work?
The evidence is unresolved and the honest answer has two halves. Patterns appear abundantly in series containing no information at all — two-thirds of one-year random-walk charts contain a head and shoulders — so their presence proves nothing. But when patterns are defined algorithmically and tested against the unconditional distribution of returns, some have been found to carry incremental information. Neither half cancels the other.
What is the measured objective or measured move?
A convention for projecting a distance, usually the pattern's own height, beyond the point where the pattern completes. It has no derivation and entered the literature by repetition rather than by demonstration.
Why do two analysts see different patterns on the same chart?
Because every definition contains tolerances the analyst supplies — how level two shoulders must be, how close a double top's two peaks must be, over what window a peak counts as a peak. No authority fixes them, so the same chart yields different inventories.
Are gaps different from other patterns?
Yes, in one respect: a gap either exists in the data or it does not, so identifying one requires no judgement. How gaps are classified and interpreted is a separate matter, but the underlying observation is a fact about the series rather than a reading of it.
Why does a pattern appearing in random data matter so much?
Because it means frequency cannot be the test. If a shape appears in 97% of charts generated by a process with no structure, seeing it tells you almost nothing, and the only meaningful question is what happens after it relative to what happens at random.
What is the problem with pattern illustrations in books and articles?
The denominator is missing. Thirty examples of a shape that preceded a reversal are thirty cases from a population of undisclosed size, and the cases where the shape appeared and nothing followed are not collected anywhere.
Does MarketClue detect patterns on its charts?
No. It shows price and volume history and leaves the chart alone — no detection, no labelling, no alerts and no projected objectives.
References
- Lo, Mamaysky and Wang (2000) — Foundations of Technical Analysis, NBER Working Paper 7613 —
- Park and Irwin (2007) — What Do We Know About the Profitability of Technical Analysis?, Journal of Economic Surveys 21(4) —
- Federal Reserve Bank of New York — research summary of Osler (2000) on support and resistance levels (the FX order-flow mechanism) —
Educational and informational only — not investment advice, a recommendation, or an offer to buy or sell any security. Investing involves risk, including the possible loss of principal. Worked examples use fictional companies and figures.