Trandence

Risk Analyzer is die part of Trandence that turns trading Historie into process feedback. It separates outcome from execution quality, so a green day can still expose poor discipline und a red day can still confirm that die plan was followed.

Risk Analyzer is built from several product surfaces:

  • Dashboard: Zeitraum-level verdicts, weakness detection, edge decomposition, und next-Session planning.
  • Day Report: post-market AI Analysis und Day Deep Dive for a abgeschlossen trading day.
  • Symbol Report: symbol-level execution review, planned Risiko, campaign metrics, und Symbol Deep Dive.
  • Calendar Period Insights: deterministic summaries for cost of tilt, behavior frequency, fee drag, giveback, overtrading, playbooks, tags, readiness, und discipline.

What It Looks At

Risk Analyzer combines deterministic metrics with coaching output. The deterministic layer comes from your Trades, tags, playbooks, daily plan, Risiko proDatei, und behavior configuration.

Important inputs include:

  • Trade count, win rate, realized P&L, fees, und hold time
  • gross vs net P&L, depending on your P&L display mode
  • Daily Stop Loss und Risk Matrix percentages
  • setup quality und planned Risiko in Symbol Reports
  • readiness scores from die Day Report
  • behavior tags such as revenge sizing, time revenge, desperation, euphoria, tilt zone, catastrophic averaging, fee drag, und systemic Risiko
  • playbooks, rules, setup quality defaults, und logged mistakes

AI Coach vs Data Deep Dive

Trandence has two analysis layers:

  • AI Coach / AI Analysis: Produces process feedback from your own trading Daten. In Day Reports it appears as AI Analysis nach die journal is complete. In Symbol Reports und Dashboard widgets it appears as coaching/verdict output.
  • Data Deep Dive: A credit-gated cloud analysis for Day Reports und Symbol Reports. It adds broader market context, catalysts, sector und macro background, Risiko context, und execution interpretation.

Deep Dive costs 1 credit when a fresh report is generated. Cached Deep Dive reports are streamed back without charging another Crbearbeiten.

Where to Start

  1. Configure your Risk Profile, especially Daily Stop Loss Workflow und Risk Matrix percentages.
  2. Create Playbooks und assign them in Daily Plans or Symbol Reports.
  3. Complete die Day Report pre-market und post-market sections so AI Analysis is not blocked by incomplete journaling.
  4. Nutzen Sie Behavior Settings to tune detection thresholds to your trading style.
  5. Prüfen Sie Dashboard, Calendar insights, Day Reports, und Symbol Reports together. No single view tells die whole story.

Brauchen Sie Hilfe?

Wenn you have questions about Risk Analyzer output, contact us at [email protected].