AI powered stocks CLI tool (github.com)

A new open-source command-line tool, Stock Tracker CLI, lets users track portfolios and generate AI-powered investment analysis by combining real-time market data with Groq’s LLM (llama-3.3-70b-versatile). Installable via pip or Docker, the tool fetches current prices from Alpha Vantage, caches results for 15 minutes to limit API calls, and can produce terminal reports, HTML email digests, or scheduled daily reports via a containerized cron service. Typical workflows include adding positions (stock-tracker add SYMBOL QUANTITY PRICE), viewing reports (stock-tracker report), and requesting AI insights (stock-tracker ai-report --email). For the AI/ML community this is a practical example of LLM integration into fintech workflows: it demonstrates inference-driven commentary on portfolio holdings, reproducible deployment (Docker + cron), and careful engineering for rate-limited APIs via caching. Key technical details: Python 3.8+, dependencies include groq, alpha-vantage, pandas, click, and appdirs; configuration lives in platform-specific directories (~/.config/StockTrackerCLI/ etc.); API keys for Groq and Alpha Vantage plus optional SMTP credentials (Gmail app passwords recommended) are required. Licensed under MIT and hosted on GitHub, the project is ready for contributions and provides a compact reference for combining LLM inference with real-time data pipelines.