AI Trading Bot for RWA Tokens XDC Decentralised Exchange🤖

Welcome to the AI Trading Bot Platform, a fully autonomous trading system designed to trade Real World Asset (RWA) tokens on the XDC Network's decentralised exchange (DEX). This AI-powered bot leverages market sentiment, data analytics, and a multi-agent architecture to manage portfolios, execute trades, and maximise returns with minimal human intervention.

🚀 Project Overview

Real World Assets (RWAs) such as real estate, commodities, and bonds are making their way into the world of decentralised finance (DeFi). Managing these tokenised assets requires intelligence and precision. This project delivers a robust AI agent that:

• Analyses market trends and real-time data
• Executes smart trades on XDC’s DEX
• Optimises user portfolios for returns and risk
• Monitors sentiment from financial news, forums, and social media

⚙️ Example Credentials (for demonstration/testing purposes):

• Email: user@example.com
• Password: password123

🧠 Key Features

✅ Multi-Agent AI Architecture

• Uses a decentralised system of specialised AI agents that handle:
  • Data ingestion and analysis
  • Trading strategy optimisation
  • Sentiment and news analysis
  • Portfolio management and performance tuning

📊 AI-Powered Market Sentiment Analysis

• Extracts insights from:
  • Financial news
  • Reddit, Twitter, and Telegram
  • Market data and token discussion forums
• Helps the system make smarter trading decisions

📈 Autonomous Trading Execution

• Fully integrates with XDC’s DEX for:
  • Market orders
  • Stop-loss triggers
  • Limit orders
• Continuously refines strategy using reinforcement learning

🔐 Secure Portfolio Management

• Allocates user assets based on risk appetite
• Rebalances regularly based on asset performance and volatility

📉 Tool Overload & Context Complexity Mitigation

• Divides operations among task-specific agents to avoid bottlenecks
• Ensures optimal performance without overwhelming any one process

🏗️ Tech Stack

• Blockchain: XDC Network, Web3.js / ethers.js
• AI/ML: Python, TensorFlow, Transformers, Langchain
• Backend: Flask / FastAPI
• Frontend: React.js (Optional UI Panel)
• Database: MongoDB / PostgreSQL
• Sentiment Analysis APIs: Google NLP, Twitter API, NewsAPI
• Trading Logic: Custom rule engine + Reinforcement Learning agents

🛠️ Setup Instructions

1. Clone the repository:

   git clone https://github.com/yourusername/ai-rwa-trading-bot-xdc.git
   cd ai-rwa-trading-bot-xdc

2. Create a virtual environment and activate it:

   python -m venv env
   source env/bin/activate  # On Windows use `env\Scripts\activate`

3. Install dependencies:

   pip install -r requirements.txt

4. Setup .env file for API keys and credentials:

   EMAIL=user@example.com
   PASSWORD=password123
   XDC_API_KEY=your_xdc_api_key
   SENTIMENT_API_KEY=your_sentiment_api

5. Run the application:

   python main.py

🔒 Security Notes

• Never share your API keys or wallet credentials.
• Use environment variables and encrypted storage for sensitive data.
• The demo credentials are for mock purposes only.

🌍 Future Roadmap

• 📡 Integrate real-time websocket data from XDC
• 🧠 Improve natural language understanding for forum data
• 💼 Offer RWA analytics dashboards for enterprise clients
• 🪙 Token-based access control for user-tiered services

📬 Contact

Feel free to reach out with questions, suggestions, or collaboration interests!

Developer: Roshni Kumari
Email: roshni06k2004@gmail.com
LinkedIn: linkedin.com/in/roshnikumari1
GitHub: github.com/RSN601KRI