Trade Journal Behavior Coach
Analyze trading journals to detect emotional leaks, rule breaches, and checklist failures using process-first coaching.
$5
Works with the AI Agents you already use
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Example session with this skill installed
Analyze this trade: I went long on NQ because it looked like it was breaking out. I didn't have a stop set yet because I wanted to see the reaction. It dipped, I added more, then it hit my mental stop.
- Read your context and instructions
- Compiled the trade journal behavior
I have analyzed your trade entry for behavioral red flags and process adherence.
[Trade Behavior Analysis Report]
📊 Trade Context:
- Setup: NQ (Nasdaq) / Breakout Strategy
- Outcome: Loss
- Stated Reason: Price "looked like" it was breaking out; aggressive entry without a defined plan.
🚩 Behavioral Red Flags Detected:
- No Pre-Trade Plan: No stop-loss was set prior to entry, and no exit target was defined.
Revenge/Averaging Down: Increasing position size ("added more") on a losing trade to lower the average entry price.
Rule Breach: Used a "mental stop" instead of a hard stop-loss, leading to delayed exit and potentially larger drawdown.
- FOMO: Entering because price "looked like" it was moving rather than waiting for a confirmed setup.
🧠 Coaching Note:
This trade was a total breakdown in process. By entering without a hard stop and adding to a loser, you shifted from trading to gambling. Focus on your next trade: do not click buy until a hard stop and profit target are already programmed into the platform.
[Self-Check]
- Trade context accurately summarized
- Behavioral red flags explicitly identified
- Pre-trade checklist adherence evaluated
- Feedback is objective, constructive, and process-focused
Next steps
- Document a hard stop-loss rule for your breakout setup.
- Review your risk management rules regarding adding to losing positions.
- Perform a pre-trade checklist for your next 5 sessions.
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
Traders often focus on P&L while ignoring the behavioral patterns that actually cause losses. Without objective analysis, emotional mistakes like FOMO and revenge trading become invisible, recurring habits that drain capital.
What it does
- Extracts trade context including asset, setup, and stated entry reasoning from journal entries.
- Flags specific behavioral leaks like moving stop-losses, chasing price, or over-leveraging.
- Enforces process discipline by identifying missing pre-trade checklists and exit strategies.
- Provides objective, non-judgmental feedback that prioritizes execution quality over monetary outcome.
Why this beats prompting it yourself
Self-reflection is biased, especially after a loss. This skill provides a systematic audit of your psychological state and rule adherence, ensuring every entry is screened against a professional standard without you needing to remember what to look for.
Use cases
- Post-trade review to catch rule breaches immediately after a session.
- Weekly audit of trading logs to identify recurring emotional patterns.
- Evaluating "lucky wins" where the process was flawed but the trade was profitable.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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