ConvexTrader


NameConvexTrader JSON
Version 0.0.2 PyPI version JSON
download
home_pagehttps://github.com/ACquantclub/Applications-of-Convex-Optimization/
SummaryA package for portfolio optimization using convex optimization
upload_time2024-11-28 01:31:16
maintainerNone
docs_urlNone
authorLiam Davis
requires_python>=3.7
licenseMIT License Copyright (c) 2024 Amherst College Quant Club Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
keywords portfolio optimization convex optimization finance
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # Applications-of-Convex-Optimization

Fall 2024 Project: Applications of Convex Optimization

## Installation

### Setting Up a Virtual Environment

1. **Clone the repository**:
    ```bash
    git clone https://github.com/yourusername/Applications-of-Convex-Optimization.git
    cd Applications-of-Convex-Optimization
    ```

2. **Create a virtual environment**:
    ```bash
    python3 -m venv env
    ```

3. **Activate the virtual environment**:
    - On macOS and Linux:
        ```bash
        source env/bin/activate
        ```
    - On Windows:
        ```bash
        .\env\Scripts\activate
        ```

### Installing Dependencies

1. **Install the required packages**:
    ```bash
    pip install -r requirements.txt
    ```

### Running Tests

1. **Navigate to the tests directory**:
    ```bash
    cd tests
    ```

2. Follow the instructions in the README located in the tests directory to run the tests.

            

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