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TRADE REVIEW & JOURNAL PROCESS

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Turn Completed Trades Into Evidence, Not Emotion

A trading journal is useful only when it changes how you make decisions. The objective is not to write a diary after every loss; it is to collect consistent information so you can discover which conditions help your model and which conditions hurt it. This module turns the journal into a research tool.

Trade Review & Journal Process  --  ICT concept diagram

A structured review process converts individual trades into repeatable evidence about your model

// Lesson Content
Before entering, record the market context while your decision is still unbiased. Write the instrument, date, session, direction, higher-timeframe context, setup name, entry reason, invalidation level, target, planned risk in R, and the condition that would make you cancel the trade. Do not write a perfect story after the trade. Record the information that was actually available at the time. This preserves the difference between a good decision and a lucky outcome.
📌 The pre-trade record is your snapshot of what you actually knew. It is more valuable than a polished explanation written after the result.
// Test Your Understanding
// KNOWLEDGE CHECK

1. Why record the setup before entry?

2. What does R normalize?

3. What should a weekly review produce?

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