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Information centralizer for trading systems

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Infocenter

Inspiration

In a world full of data, access to high-quality financial information is often locked behind expensive paywalls. Students and aspiring professionals with an interest in global markets are at a disadvantage, unable to afford services like Bloomberg, Reuters, or TradingView. Infocenter was born out of the desire to democratize access to financial data.

🚀 What it does

Infocenter is an open-source web platform that provides centralized, real-time information on global markets. It's a collaborative space where users can not only consume data but also contribute to the platform by adding new data sources and visualizations. This creates a powerful, community-driven tool that grows and adapts to the users' needs.

How we built it

This project was built using a combination of technologies to create a robust and scalable platform.

  • Backend: Python.
  • Frontend: React and tailwind.
  • Data Sources: We aim to integrate with various free and public APIs to source our financial data, such as FRED API.

Challenges we ran into

  • Finding reliable and free financial data APIs.
  • Structuring the project to be easily extensible for new contributors.
  • Finding specific market data

Accomplishments that we're proud of

  • Successfully setting up the foundational structure of the project.
  • Creating a clear vision for a community-driven financial data platform.
  • (Add any specific accomplishments, like a working prototype or a key feature you've implemented).

What's next for Infocenter

  • Integration with more data sources (e.g., stock prices, economic indicators, news feeds).
  • User authentication and personalized dashboards.
  • Tools for data visualization and analysis.
  • Building a strong and active contributor community.

Getting Started

To get a local copy up and running follow these simple steps.

Installation

  1. Clone the repo
    git clone https://github.com/gustavoesteves0/infocenter.git
  2. Install packages
    pip install -r requirements.txt
  3. Run the application
    python src/main.py

Contributing

Contributions are what make the open-source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

📄 License

Distributed under the MIT License. See LICENSE for more information.

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