GeniusTradeTracker is a Python project designed to fetch real-time and historical financial trading data from various sources (e.g., stock markets, gold prices) and store it in a local data repository. Built on the FastAPI framework, it offers a straightforward REST API for users to access financial data via HTTP requests.
- Versatile Data Sources: Retrieves data from multiple financial sources (e.g., stock markets, gold prices).
- Flexible Data Storage: Stores data locally in a database for quick access and scalability.
- Easy-to-Use API: Provides an intuitive REST API for data retrieval and insertion.
- Scalability: Built with Flask and SQLAlchemy, allowing easy customization and expansion.
FinanceDataFetcher is ideal for finance professionals, data analysts, and developers for:
- Data Analysis: Analyzing and researching stock, gold, and other market data for decision-making.
- Custom Application Development: Back-end service supporting custom financial data applications.
- Academic Research: Accessing and studying financial market data for academic projects.
- Frameworks and Libraries: Python FastAPI, SQLAlchemy, Pandas, etc.
- Database: PostgreSQL
Continual enhancements and expansions are planned for FinanceDataFetcher to meet evolving demands in financial technology and user needs.