The trading journal
you pick matters.
10 platforms tested and scored across analytics depth, broker integration, pricing, and real-world usability. No sponsored rankings. No affiliate bias in the ratings.
Losing trades cluster around specific conditions: news days, late sessions, particular setups. Without logged data, you’re pattern-matching on memory. Memory is wrong.
Tagging your emotional state before each trade sounds soft. Run the correlation between “frustrated” entries and your P&L and it stops sounding soft immediately.
Expectancy, R-multiples, profit factor. These are not abstract concepts once your trade history is logged. They tell you whether your strategy has edge or just streaks.
Taking trades and logging trades are different disciplines. Weekly review sessions with structured data change what you notice and what you do differently the next week.
The definition, the purpose, and why the format you choose affects how much you actually learn from it.
What to log, when to log it, and how to turn entries into actionable weekly reviews. Includes the fields that matter and the ones you can skip.
A structured template covering every data point worth tracking, from entry rationale to post-trade emotional review.
Build a functional trade log in Excel from scratch. Covers formulas, conditional formatting, and the basic stats every trader needs to track.
Free, shareable, and accessible from any device. Same ground as the Excel version, with Sheets-specific formula differences noted throughout.
Real-world examples of how traders structure their logs across different styles: day trading, swing trading, and options.
The data on what separates consistently profitable traders. Not motivation, not mindset frameworks. Actual behavioral patterns backed by logged performance data.