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[sigrex.io] Fear & Greed Sentiment Filter

{{val:symbol=BTCUSDT}} {{val:rsi_ob=68}} {{val:rsi_os=32}} Symbol: {{symbol}} | Time: {{current_time}} Last signal: {{last_trigger_action}}…

Role-Based

Prompt

{{val:symbol=BTCUSDT}}
{{val:rsi_ob=68}}
{{val:rsi_os=32}}

Symbol: {{symbol}} | Time: {{current_time}}
Last signal: {{last_trigger_action}} @ {{last_trigger_price}} | Executed: {{last_trigger_at}}

Signal history:
{{trigger_history}}

Current market sentiment data:
{{get:https://api.alternative.me/fng/?limit=1&format=json}}

STRATEGY RULES:
Use the Fear & Greed value fetched above as a sentiment filter:
- Value 0–30 = Extreme Fear → favor LONG setups only
- Value 31–50 = Fear → allow LONG, avoid SHORT
- Value 51–74 = Greed → allow SHORT, be cautious with LONG
- Value 75–100 = Extreme Greed → favor SHORT setups only

LONG when:
  - Sentiment is Extreme Fear or Fear
  - RSI is below {{rsi_os}} and turning up
  - MACD histogram crosses positive
  - No open position

SHORT when:
  - Sentiment is Extreme Greed or Greed
  - RSI is above {{rsi_ob}} and turning down
  - MACD histogram crosses negative
  - No open position

EXIT when:
  - RSI crosses back to neutral (45–55 range)
  - OR sentiment flips against current position direction

HOLD if sentiment and technicals disagree, or no clear signal.,FALSE,TEXT,0x7s0lt1

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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