Assign a simple score based on checklist adherence, risk respect, and information discipline. A winning trade with poor process should rate lower than a small loss executed perfectly. Consistently reviewing this score uncovers where discipline slips, enabling targeted practice that compounds into more reliable outcomes.
Measure how closely each entry matched the playbook and how many risk units were reasonably expected versus realized. This reframes results through the lens of repeatability. If integrity is high yet expectancy lags, refine exits. If integrity is low, stop trading that setup temporarily.
Tag trades by volatility regime, trend strength, liquidity conditions, seasonality, and news intensity. Then analyze performance by tag combinations. You may find your edge blooms in quiet pullbacks but fades during choppy earnings weeks. Use these insights to throttle risk and prioritize the right plays.
Post a redacted page layout or metric summary and tell us one thing that changed your decisions last month. Seeing real variations helps everyone find workable patterns. We will highlight instructive examples and invite constructive critique that respects privacy and celebrates steady, compounding improvement.
Choose a starting template that matches your cadence, tag dictionary, and risk model. Clone it, change labels, and remove sections you will not maintain. Share what you kept or dropped. This exchange accelerates learning and keeps the focus on principles rather than fancy formatting.
Commit to a month of consistent capture and weekly review, then publish your biggest surprise and the single habit that helped most. A public commitment recruits accountability and momentum. We will cheer progress, share prompts, and refine structures based on what the community discovers together.
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