A functional trading journal template has three layers: trade data, behavioral data, and review structure.
Trade data (per trade, required): Date, Time (entry and exit), Instrument/Symbol, Direction (Long/Short), Entry Price, Exit Price, Quantity/Contracts/Size, Commission/Fees, Gross P&L, Net P&L, Time In Trade.
Behavioral data (per trade, required for actual journaling): Setup Name/Type (which pattern or strategy triggered this trade — be specific), Setup Grade (A/B/C: how well did it match your criteria?), Plan Adherence (Did you follow the plan? Yes/No/Partial), Emotional State at Entry (1-5 scale, or labels: calm/anxious/FOMO/revenge/bored), Market Condition (trending/choppy/ranging/news-driven), Notes (1-3 sentences: what happened, what you did, what you should have done differently).
Derived metrics (auto-calculated): R-Multiple (Net P&L / Initial Risk), Running Win Rate, Running Average R, Expectancy by Setup Type, Maximum Consecutive Losses (running).
Review structure (weekly/monthly sections): Win rate vs. previous period, Average R vs. previous period, Behavioral flag frequency (how often were you anxious, in revenge mode, off-plan?), Which setup types are performing — and which are not, One behavioral improvement to implement next week.
This structure turns a collection of trade rows into a feedback system. The weekly review questions force analysis rather than passive data accumulation.