https://github.com/hameddavodi/finance-datascience-webapp
A web application about finance and data science
https://github.com/hameddavodi/finance-datascience-webapp
data-science machine-learning python
Last synced: 2 months ago
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A web application about finance and data science
- Host: GitHub
- URL: https://github.com/hameddavodi/finance-datascience-webapp
- Owner: hameddavodi
- Created: 2023-10-20T18:20:44.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-11-24T16:56:39.000Z (over 2 years ago)
- Last Synced: 2025-01-28T02:44:22.920Z (over 1 year ago)
- Topics: data-science, machine-learning, python
- Language: Python
- Homepage:
- Size: 547 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Portfolio Optimization Repository
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)
## Getting Started
To get started, ensure you have Docker installed on your system. Clone the repository using the following command:
```bash
git clone https://github.com/hameddavodi/finance-datascience-webapp.git
```
Navigate to the project directory and run the Docker Compose file to set up the necessary containers:
```bash
cd finance-datascience-webapp
docker-compose up -d
```
It's crucial to verify that all containers are running seamlessly. You can achieve this by executing:
```bash
docker-compose ps
```
Additionally, confirm the network connections to ensure proper communication between the containers:
```bash
docker network inspect confluent
```
# Copyright Notice
**Portfolio 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.