From market structure to executable rules.
A structured learning path for turning discretionary trading ideas into explicit rules that can be tested, monitored and automated in MT5 or Python.
Module 1 · Market Structure
01 · Market Structure
Read price before writing logic. 02 · Timeframes
Separate context from execution. 03 · Trends & Ranges
Classify the market regime. 04 · Price Levels
Turn zones into measurable objects. 05 · Strong vs Weak Levels
Score quality before entry. 06 · Multi-Timeframe Analysis
Global context, local trigger.
Read price before writing logic. 02 · Timeframes
Separate context from execution. 03 · Trends & Ranges
Classify the market regime. 04 · Price Levels
Turn zones into measurable objects. 05 · Strong vs Weak Levels
Score quality before entry. 06 · Multi-Timeframe Analysis
Global context, local trigger.
Module 2 · Levels & Breakouts
07 · Level Breakout
Separate a real transition from a touch. 08 · False Breakout
Detect rejection after penetration. 09 · Level Retest
Validate acceptance after a break. 10 · Entry Trigger
Turn structure into an order condition. 11 · Technical Stop
Define where the trade thesis fails. 12 · Stop Placement
Connect invalidation, risk and sizing.
Separate a real transition from a touch. 08 · False Breakout
Detect rejection after penetration. 09 · Level Retest
Validate acceptance after a break. 10 · Entry Trigger
Turn structure into an order condition. 11 · Technical Stop
Define where the trade thesis fails. 12 · Stop Placement
Connect invalidation, risk and sizing.
Next module
Stop-Loss Engineering & Risk → risk budget, stop distance, position sizing, daily loss limits and execution permission.
Educational content for software design and trading-system research. Not investment advice. No profit is guaranteed.