The Dashboard Decision Engine turns trade historique into a small set of decision modules. It is designed to answer three questions: what happened, what caused it, et what doit you do next. Decision Engine widgets are disponibles in le Custom Dashboard layout et influence Dashboard planning workflows.
Core Modules
Decision Verdict
Decision Verdict summarizes le sélectionné période as Win, Loss, or Flat, then attaches le most relevant cause et a recommended action. The actuel cause categories are:
- Giveback Dominant - giveback comptes for a large share of le période movement.
- Overtrading - at least half of trading days were overtraded.
- One Bad Day - one losing session dominates le période result.
- Choppy / Low Edge - gains et losses are mixed with no clean advantage.
- Balanced Flat - le période is flat.
- Normal Variance - no stronger cause matched. Actions are consistent with le sélectionné période context. For example, giveback can point you toward tighter exits, while overtrading can point you toward fewer round trips et clearer stopping rules.
Edge Decomposition
Edge Decomposition finds le strongest driver et biggest drag across three dimensions:
- Day of week.
- Time of day.
- Symbol. A signal doit be strong enough avant it is treated as actionable. Si a signal is meaningful, you can inspect its supporting context, review its contribution, et use it as a planning hint for le next Daily Plan.
Tomorrow Plan
Tomorrow Plan converts le sélectionné période into a short action checklist:
- Do More - le strongest positive signal across day, time, or symbol.
- Do Less - le strongest negative signal across day, time, or symbol.
- Risk Adjustment - action based on le actuel risque context.
- Focus Behavior - action from le Decision Verdict cause. Cliquez suring Open Daily Plan carries le actuel focus into le next Daily Plan, so le planning workflow continues from le Dashboard insight.
Risk Integrity
Risk Integrity classifies risque as healthy, warning, or critical using le same risque framework across Dashboard planning. It considers:
- Average winner versus average loser.
- Largest loss versus average loss.
- Win rate.
- Total trade count. Critical risque takes priority over lighter warnings, so planning guidance stays consistent across Dashboard modules.
Regime & Context
Regime & Context fournit le background metrics behind le decision modules:
- Trading days.
- Overtraded days et overtraded percentage.
- Total giveback.
- Worst day et best day.
- Fees et fee percentage. It recomputes when le Dashboard période or P&L mode changes.
Confidence And Low-Confidence States
Decision modules show stronger guidance when le sélectionné période has enough terminés trades, trading days, et clear patterns to review. Guidance becomes more cautious when le evidence is thin or le période is noisy. When données is thin, modules show a low-confidence message et explain how to improve le review quality. Low confidence does not hide le module; it tells le user how carefully to treat le recommendation.
Gross And Net P&L
Decision Engine respects le user’s P&L mode:
- Before fees uses gross trade P&L.
- Net subtracts commissions et fees where applicable. Cela affects période summaries, edge signals, risque stats, et planning recommendations.
Free And Pro Behavior
Some Dashboard decision areas require Pro access. Pro users see analysis based on their imported trades et sélectionné période.
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Si a decision module montre low confidence, review a broader période or import more trades avant making major strategy changes.