๐Ÿ“Œ Phase 1.1 - Implement OpenAI API-based stock prediction functionality in FastAPI

1. Objectives

โœ… Goal: Implement OpenAI API-based stock prediction functionality in FastAPI

๐ŸŽฏ Key Tasks:

1๏ธโƒฃ Verify API Endpoints: Ensure OpenAI API & Yahoo Finance API return expected results.
2๏ธโƒฃ Develop FastAPI Endpoint for AI-Based Stock Prediction
3๏ธโƒฃ Test the API Functionality with Sample Requests

2. Task Breakdown

1๏ธโƒฃ Verify API Endpoints

  • Task: Test OpenAI API & Yahoo Finance API responses manually.
  • Subtasks:
    • Send a sample request to OpenAI API and check response format.
    • Fetch stock data from Yahoo Finance API and validate received data.
    • Log and debug any API response issues if they occur.
  • Expected Output: Verified response structures from OpenAI & Yahoo Finance.

2๏ธโƒฃ Develop FastAPI Endpoint for AI-Based Stock Prediction

  • Task: Implement /api/predict/{symbol} endpoint in FastAPI.
  • Subtasks:
    • Implement services/ai_stock_analysis.py to process stock data.
    • Integrate OpenAI API call into the service logic.
    • Format OpenAI API input to provide structured stock data analysis.
    • Define API response structure.
  • Expected Output: FastAPI returns AI-generated stock predictions for a given symbol.

3๏ธโƒฃ Test the API Functionality with Sample Requests

  • Task: Perform end-to-end testing of /api/predict/{symbol}.
  • Subtasks:
    • Send requests with different stock symbols.
    • Validate OpenAI API responses in FastAPI.
    • Log errors and handle edge cases.
  • Expected Output: Successful prediction responses with formatted insights.

3. Expected Deliverables

๐Ÿ“Œ Verified API responses from OpenAI & Yahoo Finance.

๐Ÿ“Œ Functional FastAPI endpoint /api/predict/{symbol} returning AI predictions.

๐Ÿ“Œ Successfully tested API handling real-world stock data.

4. Next Steps

๐Ÿ”œ Integrate PostgreSQL to Store Stock Data

๐Ÿ”œ Enhance API Response with Data Formatting & Insights

๐Ÿ”œ Develop Frontend to Display AI Predictions