Overview
This prompt aims to guide developers in creating a real-time trading bot using Python and the Deriv API. Programmers and traders seeking to automate their trading strategies will benefit from this detailed framework.
Prompt Overview
Purpose: This bot aims to automate trading decisions using AI and mathematical analysis for improved accuracy.
Audience: It is designed for traders and developers interested in algorithmic trading and real-time market analysis.
Distinctive Feature: The integration of AI enhances trade signal generation, making it more responsive to price movements.
Outcome: Users will receive timely notifications and execute trades based on data-driven insights, improving trading efficiency.
Quick Specs
- Media: Text
- Use case: Generation
- Industry: Data & Analysis, Development Tools & DevOps, General Business Operations
- Techniques: Function Calling / Tool Use, Role/Persona Prompting, Structured Output
- Models: Claude 3.5 Sonnet, Gemini 2.0 Flash, GPT-4o, Llama 3.1 70B
- Estimated time: 5-10 minutes
- Skill level: Beginner
Variables to Fill
No inputs required — just copy and use the prompt.
Example Variables Block
No example values needed for this prompt.
The Prompt
Create a real-time trading bot in Python 3 that operates on a 5-minute chart using the Deriv API.
The bot should:
– Implement strict mathematical calculations
– Incorporate artificial intelligence to generate trade signals based on price action.
It must include:
– Entry levels
– Stop loss levels
– Take profit levels
– Notifications via Telegram whenever a signal or trade action occurs.
Ensure the bot:
– Processes data and executes logic in real time
– Uses AI-driven methods to analyze price movements for precise signal generation.
# Steps
1. Connect to the Deriv API and subscribe to 5-minute price data.
2. Implement mathematical analysis of price action to identify potential trade signals.
3. Integrate artificial intelligence techniques to enhance signal accuracy and decision-making.
4. Define entry points, stop loss, and take profit levels based on:
– AI-generated signals
– Strict mathematical rules.
5. Execute trades and manage positions in real time.
6. Send Telegram notifications for:
– Signals
– Trade entries
– Exits
– Updates.
# Output Format
Provide a comprehensive Python 3 script or module that fulfills the above requirements, including:
– Comments explaining key components
– Instructions on setting up the Telegram bot and API credentials.
Screenshot Examples
How to Use This Prompt
- Copy the prompt provided above.
- Open your preferred code editor for Python.
- Paste the prompt into a new file.
- Follow the outlined steps to create your trading bot.
- Test the bot with the Deriv API using demo accounts.
- Adjust parameters based on performance and feedback.
Tips for Best Results
- Connect to Deriv API: Use the WebSocket client to subscribe to 5-minute price data for real-time updates.
- Implement Mathematical Analysis: Utilize indicators like moving averages or RSI to identify potential trade signals based on price action.
- Integrate AI Techniques: Employ machine learning models to analyze historical price data and predict future movements for enhanced signal accuracy.
- Setup Telegram Notifications: Use the Telegram Bot API to send alerts for trade signals, entries, exits, and updates to keep you informed in real-time.
FAQ
- What is the purpose of a trading bot?
A trading bot automates trading decisions based on predefined strategies and market conditions. - How does the bot generate trade signals?
It uses mathematical analysis and AI techniques to analyze price movements and identify potential trades. - What are entry, stop loss, and take profit levels?
Entry levels are where trades are initiated, stop loss limits losses, and take profit secures gains. - How are Telegram notifications used in the bot?
The bot sends notifications for trade signals, entries, exits, and updates to keep users informed.
Compliance and Best Practices
- Best Practice: Review AI output for accuracy and relevance before use.
- Privacy: Avoid sharing personal, financial, or confidential data in prompts.
- Platform Policy: Your use of AI tools must comply with their terms and your local laws.
Revision History
- Version 1.0 (February 2026): Initial release.
