Selection Stats

Overview

The Selection Stats section provides a detailed breakdown of the structural data for the user’s selected market structure. It displays six individual stat cards, each offering key insights into the frequency, movement, and behavior of the selected structure.

Key Metrics

1. Count

   • Displays the total number of structures in the user's selected data set.

   • Helps traders understand how much data they are analyzing.

2. Mean

   • Shows the average percentage change (distance) per structure in the data set.

   • Provides insight into the typical price movement for the user's selected data set.

3. Max

   • Displays the maximum percentage change observed within the selected structure.

   • Highlights the largest individual price move within the data set.

4. EQ (Equilibrium Mitigation)

   • Represents the percentage of structures that mitigated the 50% retracement (EQ) of the previous leg.

   • Also includes a count format (e.g., 20/30), where:

     • 20 = Number of structures that mitigated EQ.

     • 30 = Total structures in the selection.

5. BoS/iBoS (Break of Structure/Internal Break of Structure)

   • Indicates what percentage of structures resulted in a break of prior structure.

   • Displays both a percentage and count format (e.g., 15/30 means 15 structures broke prior structure out of 30 total).

6. LQ (Liquidity Interaction)

   • Shows the percentage of structures that began with a liquidity sweep or other liquidity interaction.

   • Displays both percentage and count format (e.g., 10/30 means 10 structures had a liquidity event out of 30 total).

Practical Use

• Quickly assess structural significance – Determine how often a selected structure type occurs and its average movement range.

• Refine trade entries – EQ mitigation, BoS, and LQ stats provide data on how structure interacts during retracements, breakouts, and liquidity events.

• Compare structural performance – Traders can analyze historical tendencies to determine how structure typically behaves in different conditions.

This section delivers actionable, data-driven insights, allowing traders to make informed decisions based on real structural probabilities rather than assumptions.