When your AI coach observes that you tend to oversize after a losing morning, that observation comes from somewhere specific. Behind the coaching sits a set of analytics that reads your trade history and your journal entries together: behavioral pattern detection, timing analysis, and psychology-focused metrics that most platforms never compute. This is a tour of what the coach actually looks at when it forms an opinion about your trading.
Most trading platforms stop at charts and P&L. That answers what you traded. The harder question is why you made the decisions you did, and that is the question these analytics are built around.
What the coach analyzes
Your trades and your journal, read together
The core of the coach is cross-referencing. Your trade data alone can tell you that Tuesday is your worst day. Your journal alone can tell you that you keep writing "frustrated, forced it" in your reflections. Read together, they can tell you that the frustrated entries cluster on Tuesdays, and that those are the sessions where your position sizing breaks its own rules. That connection is the kind of thing the coach surfaces.
This is also why the coach gets more useful the more you journal. A trade log shows behavior; your own words explain it. When both exist, recommendations stop being generic discipline advice and start referring to your specific patterns, in your own vocabulary.
Behavioral pattern detection
The coach continuously scans your trade history for the habits that show up in it, good and bad. The patterns it watches for are:
- Revenge trading: new positions opened shortly after a losing exit, especially at increased size
- Overtrading: trade frequency climbing above your own baseline
- Post-win and post-loss drift: how your results and behavior change immediately after wins and losses
- Sizing inconsistency: position sizes that wander away from your usual risk per trade
None of these require you to tag anything. They fall out of timestamps, sizes, and outcomes that are already in your imported trades.
The revenge-trading check is mechanical: the coach timestamps every new entry against your most recent losing exit. A position opened minutes after a loss, at larger size than usual, is the classic revenge signature, and it gets flagged as soon as it appears in your data.
Timing intelligence
Your results are not evenly distributed across the clock, and the coach breaks them down to show where they concentrate. It slices your performance by hour of day, by day of week, by session (Asian, London, New York), and by how long you hold trades. The output is usually humbling in a useful way: you might find your edge holds through the London morning and evaporates after the New York lunch hour, or that trades you hold past two hours give back most of what your quick trades earn.
The practical value is subtraction. Knowing when you trade well matters less than knowing when you reliably don't, because the second one is a rule you can act on tomorrow: step away during that window.
Psychology-driven metrics
Beyond standard win rates and profit factors, the coach tracks metrics built for your mental game:
Emotion correlation maps the emotional states you log against the outcomes that followed them, so "I trade worse when anxious" becomes a measured relationship instead of a hunch. Revenge trade rate turns the pattern detection above into a single number you can watch shrink over time. Consistency score and max drawdown round out the picture: how repeatable your process is, and how deep the holes get when it isn't.
Journal-integrated insights
Your written reflections feed the analysis directly. The coach looks for recurring themes in your "what went well" and "what went wrong" entries, maps logged emotions to the performance that followed, and tracks whether the action items from your lessons learned actually change your behavior in later trades. If you wrote "stop moving my stop" three weeks ago and your recent trades show widened stops again, that gap between intention and behavior is exactly what shows up in your coaching.
How it works
The pipeline is short, and the analysis deepens as more of your data flows through it:
Import your trades
CSV or Excel uploads from your broker
Add journal entries
Capture your emotions, reflections, and lessons
Get insights
The AI analyzes patterns across all your data
Take action
Apply personalized recommendations to improve
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These analytics are included in the Coach plan.
Why psychology matters
The research below points in one direction: behavior, not analysis, is where most retail trading results are lost. Barber and Odean's study of individual investors found that excessive trading itself dragged down returns. Revenge trading, overconfidence after wins, fear-based position sizing: these cost traders more than bad setups ever could.
Your coach is built on that premise. Making your psychological patterns visible, in your own data, is how self-awareness stops being an aspiration and becomes something you can measure week over week.
Sources & further reading
- Trading in the ZoneMark Douglas · Prentice Hall Press2000
- The Psychology of TradingBrett N. Steenbarger · John Wiley & Sons2003
- Trading Is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual InvestorsBrad M. Barber, Terrance Odean · The Journal of Finance.2000
- The Emerging Field of Emotion Regulation: An Integrative ReviewJames J. Gross · Review of General Psychology. · DOI: 10.1037/1089-2680.2.3.2711998
Get started
Import your trades, write a few journal entries, and open your Analytics dashboard. The first patterns take a handful of trades to surface, and the coach only comments on what your own data shows, so the fastest way to better coaching is simply more journaled trades.