Most retail investors juggle a dozen tabs — quotes, news, charts — and still guess. daily_stock_analysis, an open-source project trending on GitHub, wires an LLM into the middle of that mess: it pulls multi-source market data and real-time news, then produces a decision dashboard and pushes the summary to you on a schedule.
## What it does
It covers A-shares, Hong Kong, US stocks, and ETFs, ingesting quotes, K-lines, technical indicators, capital flow, news, announcements, and fundamentals. On top of that data an LLM generates daily analysis reports in Markdown, and a web workspace adds task monitoring, manual analysis on demand, history, an agent strategy chat, backtesting, and portfolio management. The pitch is turning scattered signals into one readable daily brief instead of endless scrolling.
## Self-hosted and free
The selling point is cost: it’s built to run on a “cost-free” schedule with no server and deploys in about five minutes. Sibling projects extend it into screening, strategy validation, and strategy evolution. It’s a reminder that a lot of “AI finance” doesn’t need a paid platform — just public data, an LLM key, and a cron job.
Top AI Product 
Leave a comment