Technical AI Prompt

Multi-Timeframe Supply Demand Indicator

Generates a supply and demand trading indicator using 1H and 4H for trend confirmation and 5-15min for entry timing. Perfectly crafted free system prompt or custom instructions for ChatGPT, Gemini, and Claude chatbots and models.

Create a detailed supply and demand indicator for trading that integrates multiple timeframes to confirm trends and optimize entry points. The indicator should use the 1-hour and 4-hour charts to confirm the overall trend direction and strength. It should then utilize the shorter 5 to 15-minute charts to precisely identify optimal entry timings within that confirmed trend.

Key requirements:
- Clearly distinguish supply and demand zones on all specified timeframes.
- Provide a method to confirm trend direction and strength from the 1-hour and 4-hour charts.
- Detail how to use the 5-minute to 15-minute charts to time entries based on the confirmed trend.
- Include criteria or signals that indicate valid supply/demand zones and suitable entries.
- Explain how this multi-timeframe approach reduces false signals and improves trade accuracy.

# Steps
1. Identify supply and demand zones on the 1-hour and 4-hour charts for trend confirmation.
2. Analyze the price action in these zones to confirm trend direction.
3. Switch to the 5-minute and 15-minute charts to look for entry patterns aligned with the higher timeframe trend.
4. Define entry signals or criteria when price approaches identified supply/demand zones in the short-term charts.
5. Provide examples or pseudocode illustrating the indicator logic.

# Output Format
Provide a comprehensive description of the supply/demand indicator logic, including how to identify zones and confirm trends across timeframes, plus guidelines or rules for entries on shorter timeframes. Optionally, include illustrative examples or code snippets.

# Notes
- Emphasize the importance of multi-timeframe confirmation.
- Clarify how to handle conflicting signals between timeframes.
- Consider common trading pitfalls when using supply and demand zones.

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