Daily Stock Analysis is an open-source, LLM-powered stock analysis system with more than 66,000 stars on GitHub that watches multiple markets and pushes an AI-generated decision brief to you every day.
Built around an AI agent architecture, the system pulls multi-source market data and real-time news, then has a large language model synthesize prices, headlines and context into a decision dashboard with analysis you can act on. It covers A-shares alongside other markets, quantitative signals and automated notifications, and it is designed to run on a schedule at zero cost — for example on free CI runners — so a fresh brief lands in your inbox or chat app each trading day without babysitting a server. The project has appeared on GitHub Trending 28 times, is written for quantitative-finance and AIGC use cases, and was actively developed in October 2026 under the MIT license.
The emphasis is on decision support rather than raw data dumps: the system correlates price action with the day’s news flow, flags what changed and why it might matter, and formats the result as a concise brief you can read in minutes before the market opens. Configurable watchlists and model choice let users adapt it from casual tracking to systematic daily research.
Daily Stock Analysis is free and open source under the MIT license. You bring your own LLM API access; everything else, including scheduled execution, can run on free tiers.
Retail investors and quant-curious developers — especially in the A-share market — who want an automated daily AI briefing on their watchlist instead of reading dozens of news sources manually.