Open Aladdin - Pytorch
Project description
open-aladdin
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
- 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:
pip install open-aladdin
Usage
Example
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.
Contributing
We welcome contributions from the community! If you'd like to contribute to open-aladdin, please follow these steps:
- Fork the repository
- Create your feature branch (
git checkout -b feature/AmazingFeature
) - Commit your changes (
git commit -m 'Add some AmazingFeature'
) - Push to the branch (
git push origin feature/AmazingFeature
) - Open a Pull Request
Please read our Contributing Guidelines for more details on our code of conduct, and the process for submitting pull requests.
License
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