Skip to content

Latest commit

 

History

History
90 lines (75 loc) · 3.04 KB

AI_PROJECT_TRACKER.md

File metadata and controls

90 lines (75 loc) · 3.04 KB

🌙 Moon Dev AI Agents for Trading - Project Tracker 🤖

🤖 AI TRANSCRIPT NOTE: This document serves as a living transcript for AI agents. Each update helps guide the AI's understanding of project progress and goals.

🎯 Project Overview

This is an experimental research project exploring AI agents for trading, developed by Moon Dev. The project aims to complement human trading operations by addressing common challenges like emotional trading, inconsistent execution, and risk management through specialized AI agents.

🔍 Current Project State

Status: Active Development Phase 🚀 Last Updated: [Current Date]

🤖 Current Agent Components

  1. Data Collection Agent (Implemented)

    • Status: ✅ Basic Implementation Complete
    • Features:
      • OHLCV data collection with temp storage
      • Configurable permanent/temporary data saving
      • Auto-cleanup of temp data
      • First 4 chars token ID display
      • Environment variable based configuration
  2. Risk Control Agent (In Development)

    • Status: Planning Phase
    • Purpose: Oversee and manage trading risk parameters
  3. Trading Actions Agent (Implemented)

    • Status: ✅ Basic Implementation Complete
    • Features:
      • Market buy/sell functionality
      • Position management
      • Slippage control
      • Transaction retry logic
  4. Multi-Token Monitor (Implemented)

    • Status: ✅ Basic Implementation Complete
    • Features:
      • Monitoring multiple token addresses
      • USDC and various token support
      • Configurable token list
  5. Future Planned Agents

    • Exit Agent (Planned)
    • Entry Agent (Planned)
    • Sentiment Collection Agent (Planned)
    • Strategy Execution Agent (Planned)

📊 Current Capabilities

  • Environment-based configuration
  • Secure API key management
  • Temporary and permanent data storage options
  • Multi-token monitoring
  • Basic trading operations
  • OHLCV data collection and analysis

⚠️ Important Notes

  • Using .env for secure key management
  • Temporary data storage for LLM compatibility
  • First 4 chars of token addresses for cleaner logs
  • Emphasis on debugging with emoji-rich prints

🔄 Daily Updates

[Current Date]

  • Implemented temporary data storage system
  • Added configurable data saving options
  • Updated token display to show first 4 chars
  • Improved environment variable handling
  • Added multi-token monitoring capabilities

🎯 Next Steps

  1. Implement risk control agent logic
  2. Develop sentiment analysis capabilities
  3. Create portfolio-wide analysis system
  4. Enhance multi-token coordination

🛠️ Technical Stack

  • Python-based implementation
  • Environment variable configuration
  • Temporary and permanent data storage
  • Birdeye API integration
  • Jupiter API for trading
  • Emoji-rich debugging 🌙

🌟 Easter Eggs

Throughout the codebase, you'll find Moon Dev's signature touches:

  • 🌙 Moon-themed debug messages
  • Encouraging comments from Moon Dev
  • Space-themed variable names
  • Hidden thank you messages to the community

Last updated by Moon Dev AI Assistant 🤖✨