quantstream 0.0.4

'QuantStream' is a Python library for financial data analysis and visualization.

QuantStream

QuantStream is a Python-based financial modeling preperation platform designed to interact with real-time financial data via APIs, including the Financial Modeling Prep (FMP) API. The platform provides tools for model training, real-time data integration, and visualization. It is designed to be a central data structure for financial modeling and analysis based on Xarray, allowing users to easily access and manipulate financial data for their projects.

Features

• FMP API Wrapper: Integration with the FMP API for fetching financial data.
• Data Visualization: Display and interact with real-time financial data.
• Data Export: Download financial data in various formats such as CSV.
• Data Storage: Store financial data easily in a SQLite databases.
• Extensible Architecture: Easily add new models or financial data providers.

Installation

Requirements

• Python 3.11 or higher
• uv package for environment and dependency management
• ruff for linting

Setup

1. Clone the repository:

   git clone https://github.com/yourusername/quantstream.git
   cd quantstream
   

2. Install uv and sync dependencies:

   curl -sSL https://install.astral.sh | sh
   uv sync --all-extras --dev
   

3. Set up the environment variable for your API key:

   export FMP_API_KEY=your_api_key_here
   

4. Run the application:

   uv run python -m quantstream
   

Usage

Development Workflow

Code Style and Linting

We use ruff for code linting. You can check for any style issues by running:

uv run ruff check .

Running Tests

Tests are managed using pytest. You can run all tests with:

uv run pytest tests/

Pre-commit Hooks

This project uses pre-commit hooks to enforce code quality. Install the hooks by running:

pre-commit install

Contributing

We welcome contributions! Please see the CONTRIBUTING.md file for guidelines.

License

This project is licensed under the MIT License. See the LICENSE file for details.