Psychology Lab — Powered by Sage AI

Trade With Your Mind,
Not Against It

Strategy results can change with execution state. TradeInsights tracks your execution state, tests behavioral patterns against your trade history, and helps you monitor the rules you choose.

No payment card required · Analyze up to 30 imported trades

20

qualifying trades unlock the First Value Report

1

supported behavioral finding to inspect first

4

steps: import, detect, create a rule, monitor

Everything in Your Psychology Lab

Bring psychology check-ins, trade outcomes, execution rules, and follow-through into one review loop.See the behavioral analytics workflow.

Pre-Trade Emotion Check-In

Record your execution state before a trade, then compare those check-ins with the outcomes in your own history.

Behavioral Pattern Detection

Review supported patterns such as post-loss size changes, overtrading, late-session fade, and hesitation—with the qualifying trades attached.

Emotion vs. P&L Correlation

Compare recorded emotional states with trade outcomes while keeping correlation, sample size, and uncertainty visible.

Pre-Trade Discipline Checklist

Define your own execution rules before entering a trade and monitor compliance against later results.

Psychology Score Over Time

Use a rolling process score to review whether your recorded execution habits are becoming more consistent.

Loss Streak Alerts

Surface drawdown and loss-streak periods for deliberate review before they become an unexamined pattern.

Post-Trade Reflection Journal

Capture what was going through your mind when you entered and exited each trade. Build a library of lessons from your own experience.

Habit Streak Tracking

Review journaling streaks and checklist consistency without confusing activity volume with better performance.

Sage Evidence Review

Review a finding with its evidence

Sage AI reviews the psychology data you record alongside your trade outcomes. A useful finding includes the qualifying sample, the measured difference, and a candidate process rule you can monitor—not a promise about future returns.

  • Proactive weekly psychology digest
  • Post-loss behavior review
  • Candidate execution rules
  • Emotion-to-outcome analysis with sample context

Sage AI

This week's psychology insight

Post-loss sequence screen. In this illustrative sample, 8 trades entered after a loss greater than 1.5R averaged a -2.3R outcome versus +0.7R on the comparison set.

The sequence does not establish emotion or causation. Review the qualifying records, document your own process rule if appropriate, and compare a later like-for-like sample.

Based on your last 90 days of trade data

Behavioral analytics should show its work

TradeInsights separates an evidence-backed finding from a generic coaching claim.

Evidence

See the qualifying sample and supporting trades behind a pattern.

Uncertainty

Review the method, confidence, and limitations before acting.

Follow-through

Turn the finding into a rule and monitor later compliance.

Find the behavior your trade history supports

Import your history, identify a supported behavioral pattern, and monitor the rule you choose to change.

Analyze up to 30 trades · First Value Report after 20 qualifying closed trades

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