AI Coach
Behavioral analysis — no excuses, only data.
Overview
Dimensional scores and coach narrative for this analysis.
Apr 16, 2026 · 17:21 · 30 trades · Claude
Score breakdown
Coach summary
Your trading data reveals a trader with genuine edge being consistently undermined by emotional decision-making. Your London session performance is solid, but you systematically destroy gains through revenge trading after losses and FOMO continuation after winning days. The data is unambiguous: discipline is your single biggest performance drag, costing an estimated $847 over the analyzed period.
Overall
61
Best session London
Worst pattern Revenge trading after losses (4 incidents, $412 estimated cost)
Fix this week
Hard stop after 3 trades per day — close the platform, log out, walk away.
Behavioral errors
Repeated mistakes ranked by severity and estimated cost.
You placed 11 trades within 30 minutes of a significant loss, each with increased lot size (average 1.8x your normal size). This is textbook revenge trading. On 4 separate days you turned a manageable loss into a account-damaging session. The pattern is consistent: after losing >$150 on a trade, you re-enter immediately with higher size. You are not thinking — you are reacting.
Your average R:R over the last 30 trades is 1:0.87 — below breakeven. You are cutting winners early (average exit at 38% of target) while holding losers to full stop-loss. This asymmetry alone accounts for the majority of your underperformance. With your win rate of 58%, you need a minimum 1:1 R:R to be profitable. You are operating below that threshold.
On 6 days you exceeded 5 trades per session. Your win rate on trades 5+ is 27% — compared to 64% on your first 3 trades. After your third trade of the day, your performance collapses. You are chasing setups that do not meet your criteria. Your best 2-hour window is 08:00–10:00 UTC (London open). Outside that window, your edge disappears.
Insights
Actionable observations tied to your recent behavior.
London open is your edge — protect it
08:00–10:30 UTC is where 71% of your profitable trades occur. Your win rate in this window is 68% with an average R:R of 1.4. This is your genuine edge.
→ You must restrict trading to 07:45–11:00 UTC only. Close the platform after 11:00. No exceptions.
+$180–240/month estimated
Lot size inconsistency destroying risk management
Your lot sizes range from 0.05 to 1.2 on the same account. This inconsistency means your risk per trade varies by 24x. Risk management is impossible under these conditions.
→ Fix lot size at exactly 0.3 lots per trade (or 1% risk calculation) for the next 30 trading days. No deviations.
Risk-adjusted returns improve 15–25%
You are paying a premium to be wrong on exits
Closing trades early is not conservative — it is expensive. You left an estimated $289 on the table by exiting before targets were hit, while simultaneously taking full losses on losing trades.
→ Set TP and let it run. If you have conviction to enter, you must have conviction to hold. Remove your hand from the mouse after entry.
R:R improves from 0.87 to projected 1.3+
Implement a mandatory cooling-off protocol
After any loss exceeding 0.8% of account, you must wait 45 minutes before re-entering any trade. Data shows your post-loss trades have a 23% win rate — significantly below your baseline.
→ Set a timer. Leave the desk. The market will still be there. Your account may not be if you continue this pattern.
Estimated $410+ savings per month
Challenge simulator
How your stats would fare against common prop rules.
FTMO Standard (Phase 1)
FAILReplaying your trades on a $100,000 FTMO account, you breach the 5% daily loss limit on day 7 (Wednesday) due to a revenge trading cascade after two London session losses. The account would be terminated before reaching the 10% profit target.
Breach estimated: day 7
FTMO Simplified
FAILUnder the simplified model (4% daily limit, 8% total DD), your behavior pattern still causes a breach on day 9. The tighter daily loss limit makes revenge trading immediately account-threatening.
Breach estimated: day 9
Rule adaptations
Concrete tweaks to your risk rules, by priority.
Maximum 3 trades per trading day
Your performance data shows a statistically significant drop after trade #3. You have no edge on trade 4+.
Implementation
Set a hard limit in your broker platform. When trade #3 closes, log off. Write the result in your journal and close the laptop.
Mandatory 45-minute break after any loss > 0.8% account
Post-loss revenge trading is your single most expensive behavioral pattern.
Implementation
Use a physical timer. Step away from screens. Review the losing trade in your journal before considering any new entry.
Do not adjust TP after entry
You are consistently cutting winners short. Your original TP levels are set with analysis — trust them.
Implementation
Once a trade is entered with SL and TP, the only allowed action is to move SL to breakeven after 1:1 is hit. No early exits.
Sessions & symbols
When and what you trade best — and what to avoid.
Sessions
Best hours (UTC)
Symbols
Best
Worst
Weekly summary
Rolling narrative for the last week of activity.
Week of April 7: 23 trades, WR 57%, Net P&L -$124. Key issue: Revenge trading on Tuesday cost $412 and turned a +$280 day into -$132. One thing you did well: Your first 2 London session trades each day were profitable 80% of the time. This week you must focus on: stopping after your 3rd trade, no exceptions.