Dashboard Decision Engine — Trandence Central de Ajuda

The Dashboard Decision Engine turns trade histórico into a small set of decision modules. It is designed to answer three questions: what happened, what caused it, e what deve you do next. Decision Engine widgets are disponíveis in o Custom Dashboard layout e influence Dashboard planning workflows.

Dashboard decision modules summarizing performance context for planning

Core Modules

Decision Verdict

Decision Verdict summarizes o selecionado período as Win, Loss, or Flat, then attaches o most relevant cause e a recommended action. The atual cause categories are:

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

Edge Decomposition

Edge Decomposition finds o strongest driver e biggest drag across three dimensions:

Day of week.
Time of day.
Symbol. A signal deve be strong enough antes it is treated as actionable. Se a signal is meaningful, you can inspect its supporting context, review its contribution, e use it as a planning hint for o next Daily Plan.

Tomorrow Plan

Tomorrow Plan converts o selecionado período into a short action checklist:

Do More - o strongest positive signal across day, time, or symbol.
Do Less - o strongest negative signal across day, time, or symbol.
Risk Adjustment - action based on o atual risco context.
Focus Behavior - action from o Decision Verdict cause. Clique eming Open Daily Plan carries o atual focus into o next Daily Plan, so o planning workflow continues from o Dashboard insight.

Risk Integrity

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

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

Regime & Context

Regime & Context fornece o background metrics behind o decision modules:

Trading days.
Overtraded days e overtraded percentage.
Total giveback.
Worst day e best day.
Fees e fee percentage. It recomputes when o Dashboard período or P&L mode changes.

Confidence And Low-Confidence States

Decision modules show stronger guidance when o selecionado período has enough concluídos trades, trading days, e clear patterns to review. Guidance becomes more cautious when o evidence is thin or o período is noisy. When dados is thin, modules show a low-confidence mensagem e explain how to improve o review quality. Low confidence does not hide o module; it tells o user how carefully to treat o recommendation.

Gross And Net P&L

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

Before fees uses gross trade P&L.
Net subtracts commissions e fees where applicable. Isto affects período summaries, edge signals, risco stats, e planning recommendations.

Free And Pro Behavior

Some Dashboard decision areas require Pro access. Pro users see analysis based on their importaçãoed trades e selecionado período.