Evidence-led review

Journal

Connect execution facts, review dimensions, risk context, and user-entered process notes without turning history into a promise.

Captured facts · User context · Review remains yours
Journal summary with a selected review window, outcome rail, and session-hour ledger
01Selected review window02Execution ledger03Risk and distribution04Process evidence

One connected review loop

A learning loop connected to every execution

Start with captured facts, add the context only you can provide, then compare repeated conditions before choosing the next review focus.

  1. 01Capture

    Import the execution, timing, and account context.

  2. 02Explain

    Record the thesis, setup, feeling, and decision quality.

  3. 03Compare

    Filter by playbook, session, instrument, or rule adherence.

  4. 04Improve

    Commit to one observable adjustment for the next cycle.

Six review lenses

Keep the evidence close to the question you are asking.

Switch between summary, execution, attribution, time, risk, and process views without losing the selected review context.

Review baseline

Begin with the window, coverage, and session ledger.

The summary keeps the selected period, outcome context, and active trading hours together so the review starts from the same evidence base.

  • Read the selected review window before interpreting a result.
  • Compare session-hour coverage and the rows behind each time bucket.
  • Keep the headline rail connected to the underlying ledger.
Window filtersSession ledgerOutcome rail
Journal summary with a selected review window, outcome rail, and session-hour ledger

Screens show sanitized illustrative interface data. They are not advice, a forecast, or a representation of results available to any user.

Review chapters

Move from execution detail into timing and process context.

Each chapter keeps its explanation, evidence, and capability labels in one consistent card instead of presenting a detached gallery.

  • Execution ledger

    Move from a total into the executions that formed it.

    A structured ledger keeps direction, timing, risk fields, duration, and outcome visible without treating any single row as a prediction.

    Detailed execution ledger with timing, direction, risk fields, duration, and outcome columns
    Sortable ledgerRisk fieldsDuration context
  • Time dimensions

    See when activity clusters and how long positions remain open.

    Hourly outcomes, holding-duration buckets, and the day-by-hour map add temporal context that a flat result cannot provide on its own.

    Dimension analysis with hourly results, holding buckets, and a day-by-hour map
    Hourly viewHolding bucketsDay × hour map
  • Process review

    Turn captured fields and local notes into review prompts.

    Coverage indicators show what the record can support, while setup and mistake tags stay tied to user-entered evidence rather than diagnosis.

    Habits view with process evidence coverage, local review prompts, and behavior observations
    Coverage registerLocal tagsReview prompts

Kinetic Family workspace

Keep the next review connected to the evidence behind it.

Explore workspace options