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

Project description

QuantStream

QuantStream is a Python-based financial modeling 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.

Features

  • API Wrapper: Integration with the FMP API for fetching financial data.
  • Model Training: Train models using financial data directly within the platform.
  • Real-time Visualization: Display and interact with real-time financial data.
  • Data Export: Download financial data in various formats such as CSV.
  • 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

Train a Model

uv run python -m quantstream.train_model --symbol AAPL --model linear

This command trains a linear model for Apple Inc. using real-time financial data.

Get Real-Time Data

uv run python -m quantstream.fetch_data --symbol AAPL

Fetches the latest financial data for Apple Inc. from the FMP API.

Visualize Data

The platform comes with visualization tools for real-time financial data. You can run the visualization module using:

uv run python -m quantstream.visualize --symbol AAPL

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.

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