ZhuLinsen/daily_stock_analysis
This system is a comprehensive stock analysis and trading intelligence platform that combines a modular Python backend with a React-based web and desktop frontend. It orchestrates a multi-agent AI pipeline to generate market reviews, technical analysis, and decision signals across global markets, while also supporting backtesting and portfolio management. The architecture supports multiple messaging platforms for notifications and integrates with diverse data providers to deliver structured, LLM-driven insights to users.
50.6
Adequate · 2 August 2026
238k
lines of production code
Python
with TypeScript
2
bus factor · 115 authors in all
3
measurements over time
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About this page
- The description of this project is derived from its own commit history, not from its README.
- The score is its highest published measurement, taken on 2 August 2026 at a pinned commit. It is not a live figure and does not change until the project is measured again.
- Measured at commit 84ba462b06 — the exact code this score is about.
- Scored under rubric rubric-2026.08.18. Score the same commit under that rubric and you get the same number.