TraderDan.xyz Backend API

Professional crypto trading analysis backend for @thecryptoadvisor

Overview

This Flask-based API powers the TraderDan.xyz crypto trading dashboard, providing real-time market data, trading signals, and performance analytics for professional cryptocurrency trading.

Features

• Real-time Market Data: Integration with CoinGecko API for live cryptocurrency prices
• Trading Signals: Daily "Picks of the Day" with entry/exit points
• Performance Tracking: Comprehensive analytics and leaderboard system
• Market Sentiment: News analysis and sentiment scoring via CoinDesk API
• Technical Analysis: RSI, support/resistance levels, and momentum indicators

API Endpoints

Crypto Data

• GET /api/crypto/market-overview - Global market statistics
• GET /api/crypto/top-coins - Top 15 cryptocurrencies by market cap
• GET /api/crypto/trending - Trending cryptocurrencies
• GET /api/crypto/sentiment - Market sentiment analysis

Reports

• GET /api/reports/daily - Complete daily trading report
• GET /api/reports/technical-analysis - Technical analysis for major coins
• GET /api/reports/market-summary - Condensed market summary

Trading Opportunities

• GET /api/opportunities/sale-of-the-day - Daily trading picks
• GET /api/opportunities/top-picks - Top 5 highest confidence picks
• GET /api/opportunities/by-risk/{level} - Filter opportunities by risk level

Configuration

Environment Variables

COINGECKO_API_KEY=your_coingecko_api_key
COINDESK_API_KEY=your_coindesk_api_key
FLASK_ENV=production

API Keys Required

• CoinGecko API: For cryptocurrency market data
• CoinDesk API: For news and sentiment analysis
• Arkham API: For DeFi Dashboard (optional)
• ETH API: For gas fees management

Installation

1. Clone the repository:

git clone https://github.com/yourusername/traderdan-backend.git
cd traderdan-backend

2. Create virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

4. Configure environment variables:

cp .env.example .env
# Edit .env with your API keys

5. Run the application:

python src/main.py

Deployment

The API is designed to be deployed on cloud platforms like Heroku, AWS, or DigitalOcean.

Docker Support

docker build -t traderdan-api .
docker run -p 5000:5000 traderdan-api

Architecture

• Flask: Web framework
• Flask-CORS: Cross-origin resource sharing
• Requests: HTTP client for external APIs
• Pandas: Data analysis and manipulation
• NumPy: Numerical computing
• Matplotlib: Data visualization

Trading Strategy

The backend implements professional trading strategies including:

• Swing Trading: 2-6 week position holds
• Technical Analysis: RSI, support/resistance, volume analysis
• Risk Management: Stop-loss and take-profit levels
• Performance Tracking: Win rate, average returns, streak tracking

About @thecryptoadvisor

Professional cryptocurrency analyst Alexandre Azeredo brings Wall Street-grade analysis to the crypto markets. With a background in macroeconomics and international relations, specialized in crypto markets with traditional finance experience.

Connect:

• LinkedIn: Alexandre Azeredo
• Twitter: [@alexandreazered] TheCryptoAdvisor

License

This project is an ope source project created by @thecryptoadvisor. Use as you wish.

Support

For technical support or trading inquiries, contact: thelord

---

Disclaimer: This software is for educational and informational purposes only. Cryptocurrency trading involves substantial risk of loss. Past performance does not guarantee future results.