# open-aladdin
[](https://discord.gg/agora-999382051935506503) [](https://www.youtube.com/@kyegomez3242) [](https://www.linkedin.com/in/kye-g-38759a207/) [](https://x.com/kyegomezb)
open-aladdin is an open-source risk analysis and portfolio management system inspired by BlackRock's Aladdin platform. It aims to provide comprehensive risk assessment and management tools for stocks, securities, and other market instruments.
## Table of Contents
- [Features](#features)
- [Installation](#installation)
- [Usage](#usage)
- [Contributing](#contributing)
- [License](#license)
## Features
- **Comprehensive Risk Analysis**: Assess risk for a wide range of financial instruments including stocks, bonds, derivatives, and more.
- **Real-Time Data Processing**: Continuously update risk assessments based on market changes.
- **Advanced Machine Learning Models**: Utilize state-of-the-art ML algorithms for predictive analytics and risk forecasting.
- **Customizable Risk Metrics**: Calculate and track various risk measures including VaR, Expected Shortfall, and custom metrics.
- **Portfolio Optimization**: Tools for constructing and rebalancing portfolios based on risk-return profiles.
- **Interactive Dashboards**: Visualize risk data and portfolio performance through customizable dashboards.
- **API Integration**: Easy integration with external data sources and other financial systems.
## Installation
To install open-aladdin, run the following command:
```bash
pip install open-aladdin
```
## Usage
## Example
```python
from open_aladdin.main import fetch_stock_data, AdvancedRealTimeRiskAssessment
import time
if __name__ == "__main__":
# Example usage
# from data_integration import fetch_stock_data
tickers = [
"AAPL",
"GOOGL",
"MSFT",
"AMZN",
"^GSPC",
] # Including S&P 500 for market returns
historical_data = {
ticker: fetch_stock_data(ticker) for ticker in tickers
}
risk_assessor = AdvancedRealTimeRiskAssessment(historical_data)
risk_assessor.start_continuous_training()
try:
# Run for a while to allow some training iterations
time.sleep(60)
# Perform risk assessment
risk_results = risk_assessor.run_risk_assessment(
forecast_horizon=4
) # 1-year forecast
# Output results
risk_assessor.output_results(risk_results, "json")
risk_assessor.output_results(risk_results, "csv")
# Print some results
for ticker, measures in risk_results.items():
print(f"\nRisk Assessment for {ticker}:")
for measure, value in measures.items():
if isinstance(value, list):
print(
f"{measure}: [showing first 5 values] {value[:5]}"
)
else:
print(f"{measure}: {value:.4f}")
finally:
# Ensure we stop the continuous training when done
risk_assessor.stop_continuous_training()
```
For more detailed usage examples and API documentation, please visit our [User Guide](docs/user_guide.md).
## Contributing
We welcome contributions from the community! If you'd like to contribute to open-aladdin, please follow these steps:
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
Please read our [Contributing Guidelines](CONTRIBUTING.md) for more details on our code of conduct, and the process for submitting pull requests.
## License
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"description": "\n\n# open-aladdin\n\n\n[](https://discord.gg/agora-999382051935506503) [](https://www.youtube.com/@kyegomez3242) [](https://www.linkedin.com/in/kye-g-38759a207/) [](https://x.com/kyegomezb)\n\n\n\nopen-aladdin is an open-source risk analysis and portfolio management system inspired by BlackRock's Aladdin platform. It aims to provide comprehensive risk assessment and management tools for stocks, securities, and other market instruments.\n\n## Table of Contents\n\n- [Features](#features)\n- [Installation](#installation)\n- [Usage](#usage)\n- [Contributing](#contributing)\n- [License](#license)\n\n## Features\n\n- **Comprehensive Risk Analysis**: Assess risk for a wide range of financial instruments including stocks, bonds, derivatives, and more.\n- **Real-Time Data Processing**: Continuously update risk assessments based on market changes.\n- **Advanced Machine Learning Models**: Utilize state-of-the-art ML algorithms for predictive analytics and risk forecasting.\n- **Customizable Risk Metrics**: Calculate and track various risk measures including VaR, Expected Shortfall, and custom metrics.\n- **Portfolio Optimization**: Tools for constructing and rebalancing portfolios based on risk-return profiles.\n- **Interactive Dashboards**: Visualize risk data and portfolio performance through customizable dashboards.\n- **API Integration**: Easy integration with external data sources and other financial systems.\n\n## Installation\n\nTo install open-aladdin, run the following command:\n\n```bash\npip install open-aladdin\n```\n## Usage\n\n## Example\n\n```python\nfrom open_aladdin.main import fetch_stock_data, AdvancedRealTimeRiskAssessment\nimport time\n\nif __name__ == \"__main__\":\n # Example usage\n # from data_integration import fetch_stock_data\n\n tickers = [\n \"AAPL\",\n \"GOOGL\",\n \"MSFT\",\n \"AMZN\",\n \"^GSPC\",\n ] # Including S&P 500 for market returns\n historical_data = {\n ticker: fetch_stock_data(ticker) for ticker in tickers\n }\n\n risk_assessor = AdvancedRealTimeRiskAssessment(historical_data)\n risk_assessor.start_continuous_training()\n\n try:\n # Run for a while to allow some training iterations\n time.sleep(60)\n\n # Perform risk assessment\n risk_results = risk_assessor.run_risk_assessment(\n forecast_horizon=4\n ) # 1-year forecast\n\n # Output results\n risk_assessor.output_results(risk_results, \"json\")\n risk_assessor.output_results(risk_results, \"csv\")\n\n # Print some results\n for ticker, measures in risk_results.items():\n print(f\"\\nRisk Assessment for {ticker}:\")\n for measure, value in measures.items():\n if isinstance(value, list):\n print(\n f\"{measure}: [showing first 5 values] {value[:5]}\"\n )\n else:\n print(f\"{measure}: {value:.4f}\")\n\n finally:\n # Ensure we stop the continuous training when done\n risk_assessor.stop_continuous_training()\n\n```\n\n\n\nFor more detailed usage examples and API documentation, please visit our [User Guide](docs/user_guide.md).\n\n## Contributing\n\nWe welcome contributions from the community! If you'd like to contribute to open-aladdin, please follow these steps:\n\n1. Fork the repository\n2. Create your feature branch (`git checkout -b feature/AmazingFeature`)\n3. Commit your changes (`git commit -m 'Add some AmazingFeature'`)\n4. Push to the branch (`git push origin feature/AmazingFeature`)\n5. Open a Pull Request\n\nPlease read our [Contributing Guidelines](CONTRIBUTING.md) for more details on our code of conduct, and the process for submitting pull requests.\n\n## License\n",
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