DeepSeek-Trading Bot Design

(This is version 1 and you want more efficent and perfect bot for your trading, please contact to me!)

1. Core Features

• Data Collection: Fetch real-time and historical data from DexScreener or other sources.
• Data Parsing: Extract relevant information (e.g., price, volume, liquidity, market cap, etc.).
• Data Storage: Save data to a database for historical analysis.
• Pattern Analysis: Use machine learning or statistical methods to identify patterns.
• Alert System: Notify users when specific patterns (e.g., pump, rug pull) are detected.

2. Tech Stack

• Programming Language: JavaScript (Node.js)

Libraries:

• axios or node-fetch for API calls
• cheerio for HTML parsing (if needed)
• redis or PostgreSQL for database storage
• technicalindicators for pattern analysis
• telegram-bot-api for Telegram notifications

APIs:

• DexScreener API (if available) or web scraping.

3. Workflow

• Fetch Data: Use DexScreener's API or scrape the website to collect data.
• Parse Data: Extract key metrics (e.g., price, volume, liquidity).
• Store Data: Save parsed data into a database like Redis or PostgreSQL.
• Analyze Data: Identify patterns using statistical or machine learning models.
• Generate Alerts: Notify users when specific conditions are met.

Integrated Features:

1. Telegram Integration:

   • Real-time buy/sell notifications
   • Manual trading commands (/buy, /sell)
   • Status updates and alerts

2. BonkBot Trading:

   • Automated trade execution based on signals
   • Configurable trade size and slippage
   • Trade confirmation with TX hashes

3. Enhanced Security:

   • Integrated Rugcheck.xyz verification
   • Supply distribution checks
   • Dynamic blacklisting system

4. Continuous Monitoring:

   • 24/7 market scanning
   • 5-minute interval checks
   • Automated anomaly detection

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Setup Instructions

1. Replace placeholder values in CONFIG:

   • Telegram bot token
   • Chat ID
   • BonkBot API key
   • Pair addresses to monitor

2. Install required packages:

   npm install axios cheerio redis technicalindicators node-fetch telegram-bot-api

3. Run the bot:

   node bot.js

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Commands Available

• /start - Show help menu
• /buy <token> - Execute manual buy order
• /sell <token> - Execute manual sell order
• Automatic alerts for detected opportunities

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Recommended Improvements

1. Add stop-loss/take-profit functionality
2. Implement portfolio balancing
3. Add multi-exchange support
4. Integrate backtesting framework
5. Add detailed risk management controls

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Additional Notes

• This bot uses a custom configuration file (CONFIG) to store important keys, like Telegram bot token and BonkBot API key. Be sure to replace the placeholders with your own credentials.
• The bot fetches data from DexScreener or other similar APIs, parses it, and uses the technicalindicators library to analyze the data for trading opportunities.
• Alerts are sent via Telegram, and trades can be executed automatically or manually based on user commands.

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Package Dependencies:

The package.json includes the following dependencies:

• ccxt: For integrating exchange data (optional for additional exchange support).
• redis: For storing data in a Redis database (optional, can be replaced with PostgreSQL or other database solutions).
• technicalindicators: For pattern analysis and identifying trading signals.
• cheerio: For HTML parsing (if you need to scrape web data).
• jest & nock: For testing and mocking API calls.

Testing:

You can run the tests with Jest using:

npm test

For continuous testing with Jest in watch mode, run:

npm run test:watch

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