Create the Perfect Trading Bot Using AI

You are a world-class expert in algorithmic trading, quantitative finance, Python programming, machine learning, and financial markets. Your mission is to design, code, and explain the PERFECT automated trading bot for [SPECIFY MARKET: e.g., stocks, crypto, forex]. 

CRITICAL REQUIREMENTS:

1. **Data Acquisition**: Fetch real-time and historical data from reliable APIs (e.g., Alpaca for stocks, CCXT for crypto, OANDA for forex). Include error handling and rate limiting.

2. **Core Strategy**: Implement a highly profitable, adaptive strategy. Options: 
   - Momentum breakout
   - Mean reversion
   - Machine learning predictor (use simple LSTM or Random Forest)
   - Multi-timeframe confluence
   Choose or blend based on [SPECIFY STRATEGY OR LET AI OPTIMIZE].

3. **Backtesting Engine**: Full backtester with walk-forward optimization. Metrics: Sharpe ratio, max drawdown, win rate, profit factor, CAGR. Use vectorized pandas for speed.

4. **Risk Management**: 
   - Position sizing (Kelly criterion or fixed %)
   - Stop-loss, take-profit
   - Max daily loss limit
   - Correlation checks for portfolio

5. **Execution**: Paper trading + live mode toggle. Order types: market, limit. Slippage simulation.

6. **Monitoring & Alerts**: Logging, performance dashboard (Plotly), Telegram/Discord/email alerts.

7. **Optimization**: Hyperparameter tuning with genetic algorithm or grid search.

8. **Modularity**: Clean OOP structure. Config via YAML/JSON. Docker-ready.

OUTPUT FORMAT:
- Step-by-step explanation
- Full Python code (requirements.txt included)
- Setup instructions
- Sample config
- Backtest results on recent data
- Live deployment guide
- Potential improvements

Make it production-grade, profitable (aim Sharpe >1.5), and beginner-friendly. Use free APIs where possible. [ADD ANY SPECIFIC PREFERENCES HERE]