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+# Real-Time Risk Management Module for Financial Derivatives
+
+## Overview
+
+This repository contains a real-time risk management module designed to enhance the "Hedging-of-Financial-Derivatives" project. The module integrates live market data feeds with risk assessment algorithms to optimize derivative hedging strategies dynamically.
+
+## Features
+
+- **Real-Time Calculations**: Calculates key risk metrics such as Value at Risk (VaR), Conditional Value at Risk (CVaR), and more using live market data.
+- **Dynamic Strategy Optimization**: Automatically adjusts hedging strategies based on real-time risk assessments and predefined thresholds.
+- **User Interface**: Provides visualization tools to monitor risk metrics and strategy performance.
+- **Configurability**: Easily configurable through `config.py` for setting risk thresholds and other parameters.
+
+## Installation
+
+To use the real-time risk management module, follow these steps:
+
+1. **Clone the Repository:**
+   ```bash
+   git clone https://github.com/your_username/Hedging-of-Financial-Derivatives.git
+   cd Hedging-of-Financial-Derivatives
+Install Dependencies:
+Ensure you have Python 3 installed. Install required dependencies
+
+pip install -r requirements.txt
+
+Configuration:
+Adjust configuration settings in config.py as per your requirements, including API keys and risk thresholds.
+
+
+Usage
+Running the Real-Time Risk Management Module
+Run realtime_risk_management.py to start the module:
+python realtime_risk_management.py
+
+The module will continuously fetch live market data, calculate risk metrics, and optimize hedging strategies based on the latest information.
+
+Monitoring and Visualization
+Access the dashboard or UI (if implemented) to visualize risk metrics and strategy performance. Modify dashboard.py to customize visualization according to your needs.
+
+Testing
+
+Unit tests are available in the tests directory. Run tests using:
+
+
+python -m unittest discover -s tests -p "*.py"
+
+Contributing
+Contributions are welcome! Please fork the repository, make your changes, and submit a pull request. Ensure tests pass before submitting.
+
+License
+This project is licensed under the MIT License - see the LICENSE file for details.
+
+### Deployment Considerations
+
+Deployment depends on your specific environment and requirements. Here’s an example using Docker for containerization:
+
+#### Docker Deployment Steps:
+
+1. **Dockerfile**: Create a `Dockerfile` in the project root to build your application environment and define how to run it.
+
+2. **Build Docker Image**: Build a Docker image using the `Dockerfile`, which encapsulates your application and its dependencies.
+
+3. **Run Docker Container**: Deploy the Docker container on your desired platform or infrastructure.
+
+#### Example Dockerfile:
+
+```dockerfile
+# Dockerfile
+
+FROM python:3.9-slim
+
+WORKDIR /app
+
+COPY requirements.txt ./
+RUN pip install --no-cache-dir -r requirements.txt
+
+COPY . .
+
+CMD ["python", "realtime_risk_management.py"]