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Reference

References

Below are some of the core components, tools, and APIs used in the development and operation of AINewsTracker:

  • FastAPI: A modern, fast web framework for building APIs with Python 3.6+.
  • MongoDB: A cross-platform document-oriented database program.
  • Docker: An open platform for developing, shipping, and running applications.
  • NumPy: A Python library providing support for large, multi-dimensional arrays and matrices.
  • Pandas: A Python library for data manipulation and analysis.
  • Jupyter Notebook: An open-source web application for creating and sharing documents that contain live code, equations, visualizations and narrative text.
  • Finnhub: A RESTful API that provides real-time stock data, financial statements, sector performance, and more.
  • FinancialModelingPrep: An API providing real-time and historical stock data as well as company financial statements.
  • Binance: An API for the Binance trading platform, which includes endpoints for spot trading, margin trading, and futures trading.
  • Seeking Alpha: A crowd-sourced content service for financial markets. Articles and research cover a broad range of stocks, asset classes, ETFs, and investment strategies.

Acknowledgements

The documentation of AINewsTracker was built using the following tools:

  • MkDocs: A static site generator for building project documentation.
  • mkdocstrings: An MkDocs plugin to automatically document Python projects.
  • Material for MkDocs: A material design theme for MkDocs.

We express our gratitude to all developers and contributors.

@antoinebou12 antoinebou12 Antoine Boucher @mrBlackHat777 mrBlackHat777 Mohamed Ilias @makhlouf1102 makhlouf1102 Makhlouf Hennine