PythonGPTStock is an Azure Functions-based application that generates investment recommendations and portfolio analysis using AI models.

• Loads investment portfolio from a local file or Azure Blob Storage.
• Generates recommendations (buy, sell, hold) and company analysis in JSON format.
• Sends email reports.
• Integrates with Application Insights for monitoring and logging.
• Supports both development and production environments.

• Python 3.10+
• Azure Functions Core Tools (for local development)
• Azure account with configured resources: Blob Storage, Application Insights, Azure Communication Services (Email)
• Required environment variables for credentials and configuration

1. Clone the repository:

   git clone https://github.com/ChrisPolewiak/PythonGPTStock.git
   cd PythonGPTStock
   

2. Install dependencies:

   pip install -r requirements.txt
   

3. Set environment variables (e.g., in a .env file):

   • AZURE_FUNCTIONS_ENVIRONMENT
   • AZURE_STORAGE_ACCOUNT_NAME
   • APPLICATIONINSIGHTS_CONNECTION_STRING or APPINSIGHTS_INSTRUMENTATIONKEY
   • Other variables as required by the app

4. Run locally:

   func start
   

• function_app.py – main Azure Function logic
• portfolio.tsv – sample investment portfolio (TSV)
• requirements.txt – Python dependencies
• README.MD – project documentation
• SECURITY.md – security policy
• LICENSE – MIT license

The app automatically loads the portfolio, generates recommendations and analysis, and can send a report via email. Configuration details are managed via environment variables.

This project is licensed under the MIT License. See LICENSE for details.