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Pattern Definition

Framework

Pattern Definition

A structured approach to defining intraday patterns mathematically rather than interpreting them visually.

Why Definition Comes First

Most trading patterns are described visually before they are ever defined precisely.

That creates a fundamental problem. If a pattern is not defined clearly, then two people can look at the same chart and identify different structures, different entries, and different conclusions.

Without definition, there is no consistency. Without consistency, there is no validation.

Pattern Definition begins by solving that problem at the structural level.

From Visual Interpretation to Measurable Structure

The purpose of the framework is not to label shapes after the fact. It is to define the conditions under which behavior can be measured consistently.

That means patterns are not treated as drawings or impressions. They are treated as conditions derived from:

  • price movement relative to the session open
  • interaction with defined levels
  • sequence of structural events within the session
  • distance and timing of those events

Once those conditions are defined, the pattern can be evaluated objectively across a large sample of observations.

What Makes a Pattern Testable

A pattern becomes testable only when its structure is specified in a way that can be repeated.

That includes defining:

  • where the pattern begins relative to the open
  • which levels are reached and in what order
  • whether reversal or continuation conditions occur
  • how far price extends once the structure is established
  • how speed influences the meaning of the move

This converts the idea of a pattern from a visual label into a measurable analytical event.

Why Traditional Pattern Language Breaks Down

Traditional chart patterns are often described in ways that leave too much room for interpretation.

They may appear clear in hindsight, but if their boundaries are not defined mathematically, their results cannot be studied consistently. The problem is not only whether a pattern “works.” The deeper issue is whether the pattern was ever defined well enough to be tested in the first place.

Pattern Definition Within the Framework

Within the Intra-Day Momentum Method, Pattern Definition builds on the rest of the framework.

Patterns can be defined using:

  • probability-based levels
  • extended levels
  • fast move conditions
  • reversal behavior
  • return-to-open behavior

This makes it possible to study not just whether a pattern appeared, but how behavior unfolded once defined structure was present.

From Definition to Research

Once a pattern is defined mathematically, it can be studied in terms of frequency, outcomes, extensions, and failure conditions.

This supports research into:

  • behavioral tendencies following a defined structure
  • differences between continuation and reversal conditions
  • how timing and speed influence outcomes
  • how structure changes across symbols and environments

The result is not a discretionary chart-reading exercise. It is a research process grounded in definition first, evaluation second.

Where This Fits in the Framework

Pattern Definition is the point where the broader framework becomes fully testable.

It connects directly to:

  • methodology
  • probability-based levels
  • extended levels
  • fast moves
  • research library outputs

It is not a catalog of chart labels. It is a way to define intraday behavior precisely enough that outcomes can be measured and studied consistently.

Continue Exploring

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About This Site

QAT Systems, LLC is dedicated to bringing the short-term and intra-day trader the absolute BEST in short-term trading analytics.

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The Intra-Day Momentum Method

The Intra-Day Momentum Method is a more scientific approach to market analysis and risk management. It has been designed for intra-day trading. This method of analyzing market data has been applied to three market based ETFs from February 2022 to January 2023. In this book, Todd goes through the application of the model using eight different approaches. Each approach is analyzed and suggestions for increased improvements are offered.

During a brief career as a trader, Todd Hudson discovered that the analysis techniques used my most traders were inherently flawed. Oftentimes, the analysis resulted in guesswork. This often led to more questions than answers. After studying numerous methodologies and technical indicators, Todd decided to create a more scientific approach. This scientific approach would be based on risk management and historical patterns. This would allow traders to place trades using historical analysis of these patterns to determine future probable outcomes. The initial goal was to get a sense of the daily direction for intra-day trading.

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