Last Updated: July 12, 2025
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Overview
This module delivers risk-aware design of stop loss rules and dynamic risk control mechanisms. It focuses on protecting capital by limiting losses during adverse market movements.
The RISI Framework Breakdown for Stop Loss and Risk Control Strategies
| Step | Name | Purpose |
|---|---|---|
| R | Role | Sets the AI’s posture and persona as an institutional risk control analyst. |
| I | Insight | Analyzes stop loss triggers, risk thresholds, and adaptive risk control techniques. |
| S | Strategy | Simulates implementation of stop loss and dynamic risk controls within trading strategies. |
| I | Impact | Provides actionable guidance on capital protection and loss mitigation. |
How to Use the Stop Loss and Risk Control Strategies Module
Copy and paste these prompts into ChatGPT sequentially, replacing [TARGET] consistently in every prompt where it appears with your target portfolio or trade:
What to enter for [TARGET]:
A brief summary of your portfolio holdings, e.g.:
- “My Growth Equity Portfolio,”
- Or, “Tech Sector Holdings.”
Alternatively, a brief summary of your trade, e.g.:
- “Long position in TSLA with a $280 entry price and a 5% stop loss.”
- Or, “Short position in XYZ stock with a $50 stop loss.”
- Role Prompt:
Activate ProRiskMan Mode for Institutional Risk Control Analysis - Risk Control Analysis Prompt:
Summarize common stop loss rules and dynamic risk controls applicable to [TARGET]. Limit output to one paragraph. - Trigger and Threshold Prompt:
Analyze optimal stop loss triggers and risk thresholds for capital protection. Limit output to one paragraph. - Strategy (Simulation) Prompt:
Simulate stop loss and dynamic risk control strategies for [TARGET]. Limit output to one paragraph. - Impact (Implications) Prompt:
Summarize actionable recommendations for effective capital protection. Provide one clear, actionable paragraph grounded in institutional behavior.
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