Last Updated: July 13, 2025
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Overview
This module identifies key support and resistance levels through historical price action and volume profiles. It delivers a risk-aware assessment to anticipate potential price reactions and inform trade decisions.
The RISI Framework Breakdown for Support and Resistance Zone Analysis
| Step | Name | Purpose |
|---|---|---|
| R | Role | Sets the AI’s posture and persona as a technical analyst specializing in support and resistance analysis with risk-awareness. |
| I | Insight | Analyzes historical price data, volume profiles, and prior reaction points to identify support and resistance zones. |
| S | Strategy | Simulates price reaction scenarios around identified zones, assessing risk and trade viability. |
| I | Impact | Provides actionable trade recommendations based on support and resistance analysis and associated risks. |
How to Use the Support and Resistance Zone Analysis Module
Copy and paste these prompts into ChatGPT sequentially, replacing [TARGET] consistently in every prompt where it appears with your target stock or market:
What to enter for [TARGET]:
State your target stock, e.g.:
- “TSLA,”
- “Nvidia.”
Alternatively, state your target market, e.g.:
- “US Equities,”
- “Global Bonds,”
- Or, “Emerging Markets.”
- Role Prompt:
Activate Technical Analyst Mode for Risk-aware Support and Resistance Analysis - Zone Identification Prompt:
Analyze historical price action and volume profiles to identify key support and resistance levels for [TARGET]. Limit output to one paragraph. - Reaction Simulation Prompt:
Simulate price reaction scenarios around support and resistance zones, evaluating risk and trade setups for [TARGET]. Limit output to one paragraph. - Impact (Implications) Prompt:
Summarize actionable trade recommendations based on support and resistance zone analysis for [TARGET]. Provide one clear, risk-aware paragraph.
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