Phase Profiles

Overview

The Phase Summary section provides traders with a structured analysis of market structure behavior across four different phases (A, B, C, D). Traders can visualize how structure behaves within each phase, while a slider selector allows for deeper analysis of key metrics.

Key Features

1. Stacked Column Graph

   • Displays the distribution of market structure phases.

   • Allows for a quick visual comparison of how often each phase occurs.

2. Slider Selector Metrics

   • Count – Number of structures tagged with each phase.

   • Distance – Mean price movement percentage for structures in each phase.

   • EQ (Equilibrium Mitigation) – Percentage of structures that mitigated the EQ level of the prior leg.

   • BoS (Break of Structure) – Percentage of structures in each phase that resulted in a break of structure.

   • LQ (Liquidity Interaction) – Percentage of structures that swept liquidity or interacted with liquidity at their starting point.

   • Churn (Volume Efficiency Ratio) – Measures how much volume was required for each 1% price movement.

     • Helps traders identify low-volume moves, which can indicate potential reversals or weak trends.

   • Duration – Mean time taken for structures within each phase to complete.

Trading Benefits

• Defines Behavioral Differences Across Phases – Traders can identify how price typically moves in each phase.

• Reveals Structural Tendencies – Highlights which phases are more likely to result in breaks of structure (BoS) or liquidity interactions (LQ).

• Optimizes Trade Planning – Helps traders understand how long structures within each phase typically take to complete (Duration metric).

• Identifies Potential Reversal Zones – Churn values show whether price moves with high or low participation, aiding in spotting weak trends.

• Enhances Liquidity-Based Trading – Shows the probability of liquidity sweeps and equilibrium mitigation, helping refine entry and exit points.

Practical Use

• Helps traders choose structure phases that align with their strategy based on historical data.

• Assists in risk management, as different phases may have different probabilities of breaking structure or sweeping liquidity.

• Improves timing of trade entries and exits by analyzing phase duration trends.

• Provides objective data for adjusting stop-loss and take-profit levels based on price behavior within each phase.

This section offers quantifiable insights into market structure behavior, helping traders refine their decision-making and set realistic expectations for price movement within each phase.