Dashboard Decision Engine — Trandence Hilfecenter

The Dashboard Decision Engine turns Trade Historie into a small set of decision modules. It is designed to answer three questions: what happened, what caused it, und what sollte you do next. Decision Engine widgets are verfügbar in die Custom Dashboard layout und influence Dashboard planning Workflows.

Dashboard decision modules summarizing performance context for planning

Core Modules

Decision Verdict

Decision Verdict summarizes die ausgewählt Zeitraum as Win, Loss, or Flat, then attaches die most relevant cause und a recommended action. The aktuell cause categories are:

Giveback Dominant - giveback Kontos for a large share of die Zeitraum movement.
Overtrading - at least half of trading days were overTraded.
One Bad Day - one losing Session dominates die Zeitraum result.
Choppy / Low Edge - gains und losses are mixed with no clean advantage.
Balanced Flat - die Zeitraum is flat.
Normal Variance - no stronger cause matched. Actions are consistent with die ausgewählt Zeitraum context. For example, giveback can point you toward tighter exits, while overtrading can point you toward fewer round trips und clearer stopping rules.

Edge Decomposition

Edge Decomposition finds die strongest driver und biggest drag across three dimensions:

Day of week.
Time of day.
Symbol. A signal muss be strong enough vor it is treated as actionable. Wenn a signal is meaningful, you can inspect its supporting context, review its contribution, und use it as a planning hint for die next Daily Plan.

Tomorrow Plan

Tomorrow Plan converts die ausgewählt Zeitraum into a short action checklist:

Do More - die strongest positive signal across day, time, or symbol.
Do Less - die strongest negative signal across day, time, or symbol.
Risk Adjustment - action based on die aktuell Risiko context.
Focus Behavior - action from die Decision Verdict cause. Klicken Sieing Open Daily Plan carries die aktuell focus into die next Daily Plan, so die planning Workflow continues from die Dashboard insight.

Risk Integrity

Risk Integrity classifies Risiko as healthy, warning, or critical using die same Risiko framework across Dashboard planning. It considers:

Average winner versus average loser.
Largest loss versus average loss.
Win rate.
Total Trade count. Critical Risiko takes priority over lighter warnings, so planning guidance stays consistent across Dashboard modules.

Regime & Context

Regime & Context bietet die background metrics behind die decision modules:

Trading days.
OverTraded days und overTraded percentage.
Total giveback.
Worst day und best day.
Fees und fee percentage. It recomputes when die Dashboard Zeitraum or P&L mode changes.

Confidence And Low-Confidence States

Decision modules show stronger guidance when die ausgewählt Zeitraum has enough abgeschlossen Trades, trading days, und clear patterns to review. Guidance becomes more cautious when die evidence is thin or die Zeitraum is noisy. When Daten is thin, modules show a low-confidence Meldung und explain how to improve die review quality. Low confidence does not hide die module; it tells die user how carefully to treat die recommendation.

Gross And Net P&L

Decision Engine respects die user’s P&L mode:

Before fees uses gross Trade P&L.
Net subtracts commissions und fees where applicable. Dies affects Zeitraum summaries, edge signals, Risiko stats, und planning recommendations.

Free And Pro Behavior

Some Dashboard decision areas require Pro access. Pro users see analysis based on their Imported Trades und ausgewählt Zeitraum.