The Crypto Wizard

# The Crypto Wizard (Cwiz)

## Advanced Trading Framework for Cryptocurrency Markets


The Crypto Wizard (Cwiz) offers a customizable, robust trading framework designed specifically for cryptocurrency market volatility. This open-source foundation provides essential components for building profitable automated trading strategies.

### Key Performance Indicators

| Metric | Value |
|--------|-------|
| Profit Factor | 1.992 |
| Sortino Ratio | 5.589 |
| Win Rate | ~40% |
| Max Drawdown | 15.82% |

### Core Features

- **Position Scaling System**: Intelligent position sizing with customizable multipliers and risk controls
- **Multi-layered Exit Strategy**: Combined take-profit, fixed stop-loss, and trailing stop mechanisms
- **Customizable Entry Framework**: Easily integrate your own entry signals and conditions
- **Comprehensive Visualization Tools**: Real-time performance tracking with position labels and indicators

### Setup Instructions

```pine FARTCOINUSDT.P
// 1. Add to your chart and configure basic parameters
// 2. Adjust risk parameters based on your risk tolerance
// 3. Customize entry conditions or use defaults
// 4. Back-test across various market conditions
// 5. Enable live trading with careful monitoring
```

### Risk Management

Cwiz implements a sophisticated risk management system with:

- Automatic position size scaling
- User-defined maximum consecutive trades
- ATR-based dynamic stop loss placement
- Built-in circuit breakers for extreme market conditions

### Customization Options

The framework is designed for flexibility without compromising core functionality. Key customization points:

- Entry signal generation
- Position sizing parameters
- Stop loss and take profit multipliers
- Visualization preferences

### Recommended Usage

Best suited for volatile cryptocurrency markets with sufficient liquidity. Performs optimally in trending conditions but includes mechanisms to manage ranging markets.

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*Disclaimer: Trading involves significant risk. Past performance is not indicative of future results. Always test thoroughly before live deployment.*