Trade Summary: The Market Sentiment Analysis strategy involves using market sentiment data to guide trading decisions. This strategy helps identify market trends and potential price movements based on sentiment indicators.
Objective: Make trading decisions based on market sentiment indicators.
Expected Outcome: Improved trading decisions through sentiment-driven insights.
Trader Instructions:
Input Information:
Edit the ["placeholders"] in the prompt, such as Trader Goal, Asset Trading Symbol, and other input fields, with your specific asset details.
Copy and paste the completed prompt into ChatGPT and submit for results.
Execute Trade: Based on the output, adjust your trading strategy according to market sentiment insights. Follow specific instructions from prompt results.
Note: Use desktop for best experience.
Market Sentiment Analysis Strategy
I want to analyze the overall mood and sentiment of the crypto market to make informed trading decisions, using tools such as the Fear & Greed Index, social media sentiment, and news trends.
Trader Inputs:
- Trader Goal: [To make informed trading decisions based on market sentiment]
- Asset Trading Symbol: [BTC]
- Total Tokens Held: [5]
- Cost Basis per Token: [$28,000]
- Sentiment Tools Used: [Fear & Greed Index, Social Media Sentiment, News Trends]
- Sentiment Analysis Period (e.g., 7 days): [7 days]
- Assumed Capital Gains Tax Rate: [20%]
- 10% Stop Loss Order for remaining tokens after sentiment analysis-based trade: [No]Format the output prompt results in the following order:Disclaimer:
This is not financial advice. The results from this prompt serve only as an AI planning, forecasting, and educational tool for crypto traders.
Trade: Market Sentiment Analysis [Asset Trading Symbol] Strategy
Trade Summary:
Summarize the simulated trade as if executed correctly, based on the trader inputs. Highlight the Net ROI Amount after taking sentiment into account and its impact on the trader's overall trading strategy.
Calculate and Forecast Trade Numbers:
• Original investment amount:
• Sentiment analysis results:
• Gross ROI% based on sentiment-driven trades:
• Total Capital Gains from sentiment-driven trades:
• Capital Gains Tax Liability on sentiment-driven gains:
• Net ROI% after sentiment-driven trades:
• Net ROI Amount after sentiment-driven trades:
• Total Tokens Held and Assumed Account Value after sentiment-driven trades:
• Total NET value breakdown:
Trader Instructions:
Provide specific instructions for conducting market sentiment analysis, including how to use various tools, interpret results, and apply insights to trading decisions.
Format Instructions Only (Do not include this information in the output results):
• Ensure results are formatted optimally for user retention, using best practice font style, sizing, and design.
• Present the information as a personal trade forecasting assistant.