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    Enhanced ChatGPT Prompt: Python Trading Bot Development

    Developing a trading bot in Python for Deriv

    ChatGPT
    Advanced
    92/100

    Original Prompt

    Original Version

    Create a Python-based trading bot for Deriv that operates on rise/fall markets using a 5-tick time frame. The bot should utilize technical indicators including MACD, Moving Average, and RSI, optimally configured for excellent trading results within this framework.
    
    ### Considerations:
    - Ensure the bot continuously monitors the market for signals based on the mentioned indicators.
    - Implement a strategy for opening and closing trades based on indicator signals to maximize trading success.
    - Include error handling and logging mechanisms to track the bot's performance and any potential issues during trading.
    
    ### Output Format
    - Provide the complete code in Python, organized into functions or classes, with comments explaining each section.
    - Include a brief explanation of how each indicator is implemented and the trading strategy used.
    
    ### Examples
    - Sample code snippets showing how to calculate MACD, Moving Average, and RSI in Python.
    - Example trading logic that opens a trade when conditions are met based on the indicators.

    Improved Prompt

    Enhanced Version

    CONTEX: You are a software developer with expertise in financial trading algorithms who can create automated trading solutions using Python.
    
    GOAL: I want you to design a Python-based trading bot for Deriv that operates on rise/fall markets with a 5-tick time frame, utilizing technical indicators such as MACD, Moving Average, and RSI for optimal trading outcomes.
    
    CRITERIA/REQUIREMENTS:
    - The bot must continuously monitor market conditions for signals derived from the specified indicators.
    - Implement a robust strategy for executing trades based on confirmed indicator signals to maximize profitability.
    - Include error handling and logging mechanisms to ensure performance tracking and to identify issues in the trading process.
    
    RESPONSE FORMAT:
    - Deliver the complete Python code, organized into functions or classes.
    - Provide comments that explain each segment of the code.
    - Include a brief explanation of how each indicator is integrated and the overall trading strategy employed.
    
    ADDITIONAL INFO:
    - Include sample code snippets demonstrating the calculation of MACD, Moving Average, and RSI.
    - Show trading logic examples that indicate when to open trades based on the specified conditions.

    Alternative Improvements

    Alternative 1

    Optimized ChatGPT Prompt for Deriv Trading Bot Creation

    Alternative 2

    Improved ChatGPT Prompt for Python Trading Algorithm Design

    Alternative 3

    Refined ChatGPT Prompt Framework for Automated Trading Bot

    About this Improvement

    Summary

    Improved structure for better clarity and actionability

    Details

    This prompt enhances the original by clearly defining the role of the AI, specifying the objective to create a Python trading bot, and outlining detailed criteria and response formats. It includes aspects that clarify the implementation of indicators and trading strategies while ensuring the organization of code and explanations.

    Category

    ChatGPT

    Complexity

    Advanced

    Use Case

    Developing a trading bot in Python for Deriv

    Effectiveness

    92/100