Technical Indicators

A comprehensive Python library for technical analysis indicators in financial markets.

Features

• Support and Resistance Indicators
  • Pivot Points (Floor Trader's Method)
  • Fibonacci Retracements
  • Support/Resistance Level Detection
  • Maximum Drawdown Analysis
• Moving Averages
• Volume Indicators
• Momentum Indicators
• Trend Indicators

Installation

Using pip:

pip install technical-indicators

Using Poetry:

poetry add technical-indicators

Quick Start

import pandas as pd
from Technical_Analysis.Indicators.supportResistance import calculate_pivot_points

# Create or load your price data
df = pd.DataFrame({
    'High': [105, 104, 106],
    'Low': [98, 97, 99],
    'Close': [102, 101, 103]
})

# Calculate pivot points
pivots = calculate_pivot_points(df)
print(pivots)

Documentation

Full documentation is available at https://technical-indicators.readthedocs.io

Support and Resistance Indicators

The library provides various methods to identify potential support and resistance levels:

from Technical_Analysis.Indicators.supportResistance import (
    find_support_resistance,
    fibonacci_retracement,
    calculate_pivot_points
)

# Find support and resistance levels
levels = find_support_resistance(df)

# Calculate Fibonacci retracements
fib_levels = fibonacci_retracement(df)

# Calculate pivot points
pivots = calculate_pivot_points(df)

Development

This project uses Poetry for dependency management. To set up the development environment:

1. Install Poetry:

curl -sSL https://install.python-poetry.org | python3 -

2. Clone the repository:

git clone https://github.com/yourusername/TechnicalIndicators.git
cd TechnicalIndicators

3. Install dependencies:

poetry install

4. Run tests:

poetry run pytest

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

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

License

This project is licensed under the MIT License - see the LICENSE file for details.