In this GitHub repository, I've developed an innovative solution focused on optimizing portfolios using Python, Django, Apache Airflow, and Kafka. This comprehensive project incorporates real-world values and employs a comparative approach to evaluate performance. The essence of the repository lies in providing a straightforward method to assess vectors and their associated outcomes within portfolio optimization. (look at these pythons :D)
To get started, ensure you have Docker installed on your system. Clone the repository using the following command:
git clone https://github.com/hameddavodi/finance-datascience-webapp.gitNavigate to the project directory and run the Docker Compose file to set up the necessary containers:
cd finance-datascience-webapp
docker-compose up -dIt's crucial to verify that all containers are running seamlessly. You can achieve this by executing:
docker-compose psAdditionally, confirm the network connections to ensure proper communication between the containers:
docker network inspect confluentPortfolio Optimization Repository
© 2023 Amedeo Davoodi
All rights reserved. This repository and its contents, including but not limited to source code, documentation, and associated materials, are the intellectual property of Amedeo Davoodi. Any unauthorized use, reproduction, or distribution of the contents is strictly prohibited.
For inquiries regarding the use of the repository or licensing information, please contact me !
Thank you for respecting the intellectual property rights.