Move from dashboard to evidence
Use a metric as the start of the review, then open the trades behind it. Screenshots, notes, tags, and emotions help explain whether the change came from a strategy, behavior, or risk decision.
Analytics built from journal data
A performance chart is more useful when every point links back to a decision. TheProfitPath combines trading analytics with screenshots, notes, emotions, tags, accounts, and playbooks so you can investigate why a metric changed.
Built for review and education. No journal can guarantee trading results.
Metrics you can trace back to trades
What this helps you see
Use a metric as the start of the review, then open the trades behind it. Screenshots, notes, tags, and emotions help explain whether the change came from a strategy, behavior, or risk decision.
Separate accounts, playbooks, symbols, periods, and custom tags. Focused groups reduce the chance that unrelated trades hide the pattern you are trying to understand.
Win rate alone can mislead. Review profit factor, average win and loss, R-multiples, equity, and drawdown together for a more complete view of the recorded sample.
A repeatable workflow
Keep capture simple, add the context that matters, and schedule a review cycle. The useful output is a better question, rule, or experiment for the next session.
Explore the related product featureAnalytics can only explain the fields you capture, so keep prices, risk, account, setup, and context consistent.
Start with a week, month, quarter, or another sample that matches the decision you want to evaluate.
Compare symbols, setups, accounts, tags, days, and other journal dimensions to locate the difference.
Open the underlying trades, verify the story, and create a rule or experiment for the next review cycle.
What to measure
Clear answers about what the journal does and where another source remains authoritative.
The analytics and reporting workflows include P&L, win rate, profit factor, average R, equity curves, max drawdown, streaks, and breakdowns such as symbol, setup, period, and account where supported by the recorded data.
Yes. The journal remains the source record, so analytics can be reviewed alongside the trades, screenshots, notes, tags, emotions, accounts, and playbooks that contributed to the result.
No. It organizes and calculates the data you record so you can review it more clearly. Trading involves substantial risk, recorded data may be incomplete, and no journal or metric guarantees profitability or future performance.
Explore another workflow
Journal-grounded AI review
Use an AI trading journal to review trades, emotions, patterns, and risk from your own journal data, then turn insights into next-session actions.
Read the guideFor active day traders
A day trading journal for screenshots, setups, emotions, risk, and performance analytics. Review each session and turn mistakes into better rules.
Read the guideFor evaluation and funded accounts
Separate prop firm accounts, journal trades, track drawdown and R, document rule adherence, and review consistency without mixing evaluations.
Read the guideRecord. Review. Refine.
Start with one complete trade, then let the review process compound.
Create your journal