A package for portfolio optimization using convex optimization
Project description
Applications-of-Convex-Optimization
Fall 2024 Project: Applications of Convex Optimization
Installation
Setting Up a Virtual Environment
-
Clone the repository:
git clone https://github.com/yourusername/Applications-of-Convex-Optimization.git cd Applications-of-Convex-Optimization
-
Create a virtual environment:
python3 -m venv env
-
Activate the virtual environment:
- On macOS and Linux:
source env/bin/activate
- On Windows:
.\env\Scripts\activate
- On macOS and Linux:
Installing Dependencies
- Install the required packages:
pip install -r requirements.txt
Running Tests
-
Navigate to the tests directory:
cd tests
-
Follow the instructions in the README located in the tests directory to run the tests.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file convextrader-0.0.0.tar.gz.
File metadata
- Download URL: convextrader-0.0.0.tar.gz
- Upload date:
- Size: 11.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a3331ad0a767756797ba625602c57c408e7199e54392c8bb6c81959132e0400d
|
|
| MD5 |
fbc67ea9f8309232fb9578b4949e6ded
|
|
| BLAKE2b-256 |
8112e35cdbc870de67e8e999d2b95f1a5fcc2a781165520af41452c805780da5
|
File details
Details for the file ConvexTrader-0.0.0-py3-none-any.whl.
File metadata
- Download URL: ConvexTrader-0.0.0-py3-none-any.whl
- Upload date:
- Size: 14.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e9c00893bb633ecd12dd034f33848a333d6eff240ee53904ee233c1eb90c7f39
|
|
| MD5 |
abba2b80ab9a47d4b4a6991c34c6e984
|
|
| BLAKE2b-256 |
342434e93a86677063161d9e9f5a17e53f8951161e29e72ecd75805350ffb093
|