Wyckoff · 2025-04-17

Wyckoff Part 8: Summary of 7 Common Distribution Patterns

A visual Wyckoff chart is worth a thousand words. In this part, we will continue discussing the Distribution phase and its forms.

I do not encourage you to go deep into the variant patterns, because they are hard to detect, and in essence they are simply combinations of conventional patterns joined together.

We only need to master the two Conventional Distribution forms: the distribution structure with UTAD and without UTAD.

The importance of context

Wyckoff schematics, whether accumulation or distribution, are like a map.

They tell you the position you should go to and how to get there.

Wyckoff structures provide you with contexts (Context).

Each phase in the distribution phase shows the change in price behavior (CHoB) from beginning to end.

As a Wyckoff technical analyst, you can grasp the important moment when the CO participates (based on the three Wyckoff laws and auction theory).

You know how the CO stops the uptrend, then distributes inventory into the hands of the public until that process ends and price enters a downtrend.

All of this is shown in the five phases contained within the TR range that we studied in part 7.

However, price does not always follow such a beautiful TR.

The distribution structure has shapes where price does not lie neatly inside a Trading Range; let us discuss the different shapes in the section below.

Wyckoff distribution patterns and variations

Distribution type 1: With UTAD

Distribution form with UTADFigure 1: Conventional distribution form with UTAD

This is a common Distribution form, in which UTAD appears as the highest point in the TR.

After UTAD, price quickly breaks through The Ice and retests LPSY on small volume, which is a suitable position-opening point.

Example of a distribution pattern with UTAD in the SEI/USDT pair on the H1 timeframe:

SEI/USDT distribution phaseFigure 2: SEI/USDT distribution structure

In the example above, at the mSOW position we can carry an accumulation bias and mark this as a potential phase C, but afterward at the UTAD position we completely reverse the bias to distribution. The flexibility to change bias between accumulation and distribution is essential for a Wyckoffian.

Distribution type 2: Without UTAD

Distribution form without UTADFigure 3: Distribution form without UTAD

This is a common distribution form, however it is hard to recognize phase C because price always has the potential to create a UTAD at any time.

Example of a Distribution without UTAD form in the EUR/USD currency pair:

Euro distribution structureFigure 4: Euro distribution structure

Note: with forex pairs we should use the CME exchange's futures codes to read volume instead of OANDA or FXCM exchanges. Refer to the FX codes on Trading Hub 3.0's Telegram channel.

Variation type 1: The pine tree model

Hypodermic distribution structureFigure 5: Hypodermic distribution structure

This model is called Hypodermic by Wyckoff (the pine tree model or needle model).

At the end of an uptrend, price is often maintained or attempts to recover through a series of "anesthetic injections".

These are artificial stimuli, shown by pushing price and trading volume up high.

However, afterward the market quickly falls back again.

The Hypodermic variation can make an uptrend nearly stall yet still persist for a longer time, as if clinging to the market with "artificial life".

When the goal is nearly achieved, the market falls into a "Teepee" distribution state (a pointed pyramid shape) or forms a steeply sloping downtrend with lower highs before collapsing quickly.

The CO sold most of their inventory at the pyramid, causing phase A to often have large volume, but afterward volume gradually decreases until phase D because the CO stands aside. By phase E, ITFs (institutional trend-following funds) only then begin to sell, causing volume to rise high.

Example of a Hypodermic distribution model in the EUR/USD pair:

Hypodermic needle model in the EUR/USD pairFigure 6: Hypodermic needle model in the EUR/USD pair

Another example of the USD/CAD pair, a needle variation combined with a local re-distribution TR:

Pine tree distribution model USD/CADFigure 7: Pine tree distribution model USD/CAD

The Hypodermic model is quite common in forex and crypto but not easy to detect and trade.

Variation type 2: The double top model

Double top distribution variationFigure 8: Double top distribution variation

The double top model is a familiar reversal pattern, also called the cat-ears model.

Price fails to rise after escaping the accumulation zone and quickly falls after buyers are exhausted.

Example of the BTC/USDT pair, double top model:

Bitcoin double top distribution modelFigure 9: Bitcoin double top distribution model

Variation type 3: The head and shoulders pattern

Head and shoulders distribution modelFigure 10: Head and shoulders distribution model

Head and shoulders (head and shoulders) is a common reversal pattern.

Not only head and shoulders, most reversal shapes we have learned in trading can be explained by the Wyckoff distribution structure.

Example of the PYTH/USDT pair with a head and shoulders distribution form:

Head and shoulders distribution model PYTH/USDFigure 11: Head and shoulders distribution model PYTH/USD

With the Pyth chart, we can also draw a conventional TR with this variation form, but it will be hard to recognize in the early stage.

Variation type 4: The rising wedge model

Rising wedge distribution modelFigure 12: Rising wedge distribution model

Price rises neatly inside a rising wedge, formed by two converging lines (an along-trend demand line and a reversed supply line).

The shakeout at the end of the wedge causes buyers to become exhausted and price quickly falls with large range and volume.

Example of a rising wedge distribution form in the AUD/USD forex pair:

Wyckoff distribution structure variation: rising wedgeFigure 13: Wyckoff distribution structure variation: rising wedge

Once again, I do not encourage readers to try to draw Wyckoff distribution variation shapes.

The variant patterns are in essence pieced together from conventional distribution structures.

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