Contributing to Zara

Ways to Contribute

For Everyone

1. Report Issues

   • Bug reports

   • Feature requests

   • Performance issues

2. Share Ideas

   • New features

   • Improvements

   • Use cases

   • Integration ideas

3. Test Features

   • Try new releases

   • Test in different environments

   • Provide feedback

For Developers

1. Setup Development Environment

# Fork and clone repository
git clone https://github.com/z-agent/zara.git
cd zara

# Create branch
git checkout -b feature/your-feature-name

# Install dependencies
pip install -r requirements.txt

2. Code Contribution Areas

• Trading indicators

• Analysis algorithms

• API integrations best practices

• Performance optimizations

• Testing frameworks

3. Example Contributions

Add New Indicator

from src.indicators import BaseIndicator

class CustomMACD(BaseIndicator):
    def __init__(self, fast=12, slow=26, signal=9):
        self.fast = fast
        self.slow = slow
        self.signal = signal
    
    def calculate(self, data):
        # Implement MACD logic
        return results

Enhance Analysis

async def enhance_market_analysis(data: Dict) -> Dict:
    # Add your analysis enhancement
    enhanced_data = add_custom_metrics(data)
    return enhanced_data

For Traders

1. Market Research

• Document trading patterns

• Track market trends

• Analyze successful signals

• Report market anomalies

2. Content Creation

• Response templates

• Trading explanations

• Educational content

• Documentation improvements

3. Testing & Feedback

• Test trading signals

• Validate analysis

• Check response quality

• Suggest improvements

Contribution Process

1. Choose Task

2. Development

3. Review Process

Guidelines

Code Style

# Use clear names
def calculate_moving_average(prices: List[float], period: int) -> float:
    """
    Calculate simple moving average.
    
    Args:
        prices: List of price points
        period: MA period
        
    Returns:
        float: Moving average value
    """
    return sum(prices[-period:]) / period

Documentation

class TradingStrategy:
    """
    Trading strategy implementation.
    
    Attributes:
        name: Strategy name
        timeframe: Trading timeframe
        
    Methods:
        analyze: Run strategy analysis
        get_signals: Get trading signals
    """

Testing

def test_analysis_accuracy():
    """Test trading analysis accuracy."""
    # Setup test data
    data = load_test_data()
    
    # Run analysis
    result = analyze_market(data)
    
    # Verify results
    assert result.accuracy >= 0.8

Quick Start Contributions

1. Documentation

2. Testing

3. Market Research

# Research template
1. Market condition:
2. Observed pattern:
3. Time period:
4. Success rate:
5. Supporting data:

Best Practices

Code

1. Clear naming

2. Comprehensive comments

3. Error handling

4. Performance consideration

5. Test coverage

Documentation

1. Clear explanations

2. Code examples

3. Use cases

4. Troubleshooting

5. Updates for changes

Testing

1. Unit tests

2. Integration tests

3. Edge cases

4. Performance tests

5. Documentation tests

Getting Help

1. Developer Support

• Discord channel

• GitHub discussions

• Code reviews

• Pair programming

2. Product Support

• Documentation guides

• Video tutorials

• Community forums

• Direct mentoring

3. Community Resources

• Docs

• Example projects

• Training materials

• Best practices

Recognition

1. Contributor Levels

• First-time contributor

• Regular contributor

• Core contributor

• Maintainer

2. Rewards

• Recognition in releases

• Community badges

• Special access

• Project roles

3. Impact Tracking

• Contribution metrics

• User impact

• Performance improvements

• Community growth

Next Steps

1. Setup development environment

2. Make first contribution

3. Help others contribute