Last Updated: July 12, 2025
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Overview
This module delivers risk-aware position sizing recommendations based on quantitative momentum strength. It guides trade sizing aligned with momentum signals and trader risk tolerance.
The RISI Framework Breakdown for Momentum-Based Position Sizing
| Step | Name | Purpose |
|---|---|---|
| R | Role | Sets the AI’s posture and persona as an institutional momentum-based sizing analyst. |
| I | Insight | Evaluates momentum strength to inform position sizing decisions. |
| S | Strategy | Simulates trade sizing aligned with momentum strength and risk profiles. |
| I | Impact | Provides actionable guidance on optimal position sizes based on momentum metrics. |
How to Use the Momentum-Based Position Sizing Module
Copy and paste these prompts into ChatGPT sequentially, replacing [TARGET] with your target stock:
- Role Prompt:
Activate Quantitative Momentum Mode for Institutional Position Sizing - Momentum Strength Prompt:
Summarize momentum strength indicators relevant to position sizing for [TARGET]. Limit output to one paragraph. - Sizing Strategy Prompt:
Analyze position sizing approaches based on momentum strength and trader risk tolerance. Limit output to one paragraph. - Strategy (Simulation) Prompt:
Simulate position sizing decisions informed by momentum data for [TARGET]. Limit output to one paragraph. - Impact (Implications) Prompt:
Summarize actionable position sizing recommendations based on momentum analysis. Provide one clear, actionable paragraph grounded in institutional behavior.
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