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Trading Risk Rule Auditor
Audit trading journals to detect risk management breaches, stop-loss violations, and undisciplined sizing patterns.
$6.99
Trading Risk Rule Auditor
Example session with this skill installed
Audit these trades against my rules: Max 1% risk per trade, Max 3% daily loss.
Trade 1: Long BTC, Entry 60k, Stop 59k, Size 0.5 units, Equity 50k, Loss $500.
Trade 2: Long BTC, Entry 61k, Stop 60k, Size 1 unit, Equity 49.5k, Loss $1000.
- Read your context and instructions
- Compiled the trading risk rule
I have audited your trade logs against the specified risk parameters (1% max risk per trade, 3% max daily loss). The analysis identified one compliant trade and one critical breach of both position-sizing and daily loss limits.
Risk Rule Audit Results
| Rule | Expected | Actual | Status | Frequency | Priority |
|---|---|---|---|---|---|
| Max Risk Per Trade | <= $500 (1%) | $1,000 (2.02%) | BREACH | 1/2 | CRITICAL |
| Max Daily Loss | <= $1,500 (3%) | $1,500 (3.03%) | BREACH | 1/1 | HIGH |
| Stop Loss Presence | Required | Provided | COMPLIANT | 2/2 | LOW |
Major Breaches
Trade 2 (BTC Long): Risked $1,000 on a $49,500 account balance. This represents a 2.02% risk, doubling your mandated 1% limit.
*
Daily Aggregate: The cumulative loss for the session reached $1,500. Given the reduced equity after Trade 1, this exceeded the 3% daily limit by $15.
Risk Pattern Analysis
The audit suggests a "Risk Escalation" pattern. After the first loss of $500, the position size was doubled for the second trade. This indicates potential revenge trading or an attempt to recover losses quickly by increasing leverage, which directly violates the 1% consistency rule.
Corrective Action Plan
- Immediate Action: Reduce base position size by 50% for the next three winning trades to reset discipline.
Structural Change: Implement a hard-stop at the broker level for a 2.5% daily drawdown to prevent manual overrides of the 3% rule.
Next steps
- Review the Pre-Trade Checklist before opening your next position.
- Log the emotional state for Trade 2 to confirm if "revenge trading" was the trigger.
- Export this audit to your monthly review folder to track if sizing consistency improves.
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
Traders often struggle to objectively review their own discipline, frequently ignoring risk breaches when trades result in profits. Manual auditing of trade logs against complex risk rules is time-consuming and prone to emotional bias or oversight.
What it does
- Extracts specific risk constraints from trade plans, including max risk per trade and daily loss limits.
- Calculates real-time exposure, position-sizing percentages, and stop-loss distances from journal data.
- Identifies specific breaches such as revenge trading, stop-widening, and excessive correlation.
- Generates a prioritized corrective action plan based on the severity and frequency of risk violations.
Why this beats prompting it yourself
General LLMs often confuse a losing trade with a bad trade. This skill strictly separates P&L from risk compliance, ensuring that "lucky" wins that broke rules are still flagged as critical failures. It uses a structured normalization workflow to prevent the hallucination of missing data points.
Use cases
- Conducting weekly performance reviews to identify discipline gaps before they blow an account.
- Auditing prop firm evaluation logs to ensure strict adherence to drawdown and consistency rules.
- Analyzing a month of data to detect if losing streaks trigger prohibited risk escalation.
Known limitations
Cannot verify compliance if entry, stop-loss, or account equity data is missing from the logs. Does not provide real-time trade signals or financial advice.
Requires manual input of risk rules and trade logs. Cannot calculate risk for instruments without price data. Missing trade evidence is marked as 'unable to verify' rather than a breach.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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