TradeNetics

AI-Powered Cryptocurrency Trading Bot with Real-time Dashboard & Machine Learning

---

Features

** Automated Trading**
ML-powered buy/sell decisions with configurable risk management

** Real-time Dashboard**
Live portfolio tracking, dynamic charts, and trading activity

** Machine Learning**
ML.NET models trained on market data for intelligent predictions

** Dual Architecture**
Console app for automated trading + Web dashboard for monitoring

** Risk Management**
Stop-loss, position sizing, and daily loss limits

** Live Data Integration**
Real-time portfolio sync with Binance API

---

Quick Start

Prerequisites

• .NET 8 SDK
• Binance API Keys (or Binance.us)

1. Clone & Build

git clone https://github.com/your-username/TradeNetics.git
cd TradeNetics
dotnet build

2. Start Web Dashboard

cd TradeNetics.WebApp
dotnet run

→ Open https://localhost:5001

3. Configure API Keys

1. Go to Configuration tab
2. Enter your Binance API credentials
3. Set Base API URL to https://api.binance.us (US users)
4. Save configuration

4. Run Trading Bot

cd TradeNetics.Console  
dotnet run

---

Architecture

TradeNetics/
├──   TradeNetics.Console     # Automated trading engine
├──   TradeNetics.WebApp      # Real-time dashboard  
└──   TradeNetics.Shared      # Common models & services

Shared Library Design eliminates code duplication and ensures consistency across applications.

---

Dashboard Features

Feature	Description
Portfolio Overview	Real-time balance, holdings, and allocations
Dynamic Charts	Portfolio performance and trading activity
Bot Controls	Start/stop trading with live status
Trading Pairs	Manage active cryptocurrency pairs
Configuration	API keys, ML settings, and risk parameters

---

Configuration

Environment Variables (Optional)

export BINANCE_API_KEY="your_api_key"
export BINANCE_API_SECRET="your_api_secret"

Web Configuration

All settings can be configured through the Web Dashboard:

• API credentials
• Trading parameters
• ML.NET algorithms
• Risk management rules

---

Machine Learning

Supported Algorithms:

• FastTree
• LightGBM
• FastForest
• GAM (Generalized Additive Models)

Training Features:

• Price movements
• Volume analysis
• Technical indicators (RSI, MACD, Bollinger Bands)
• Moving averages

---

Safety Features

✅ Paper Trading Mode - Test without real money
✅ Geographic Compliance - Binance.us support
✅ API Rate Limiting - Prevents API violations
✅ Graceful Fallbacks - Continues operation during API issues
✅ Real-time Monitoring - Web dashboard oversight

---

Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit changes (git commit -m 'Add amazing feature')
4. Push to branch (git push origin feature/amazing-feature)
5. Open a Pull Request

---

📄 License

MIT License - see LICENSE for details.

---

⚠️ Trading Disclaimer
Cryptocurrency trading involves substantial risk. This software is for educational purposes.
Always start with paper trading and never invest more than you can afford to lose.