This application, built with the PyNest framework, provides a robust suite of services for managing stock data within a financial system. It integrates PostgreSQL for database management and Redis for caching, enhancing performance by reducing repetitive database queries.

• Dynamic Stock Queries: Search and retrieve stocks based on symbols or custom criteria.
• Stock and Officer Management: Add, update, and delete information about stocks and company officers.
• Efficient Caching: Implement Redis caching to minimize database queries and speed up response times.
• Background Processing: Use background tasks for non-blocking data operations.
• Timeframe Analysis: Analyze stock price movements over selectable time periods.

• Docker and Docker Compose
• Python 3.8 or higher
• PostgreSQL
• Redis

git clone https://github.com/ItayTheDar/Stockify.git
cd Stockify

pip install -r requirements.txt

uvicorn src.app_module:http_server --host "0.0.0.0" --port 8000

docker-compose up --build

Access the API at http://localhost:8000 upon deployment. Explore API endpoints through the integrated Swagger UI or Redoc.

GET /stocks: Fetch a list of stocks.

POST /stocks: Register a new stock.

PUT /stocks/:{id}: Modify details of an existing stock.

DELETE /stocks/:{id}: Erase a stock record.

Endpoints also include functions for managing company officers and detailed stock price data.