{"data":{"slug":"zhulinsen-daily-stock-analysis","name":"daily_stock_analysis","tagline":"LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.","github_url":"https://github.com/ZhuLinsen/daily_stock_analysis","owner":"ZhuLinsen","repo":"daily_stock_analysis","owner_avatar_url":"https://avatars.githubusercontent.com/u/42829555?v=4","primary_language":"Python","stars":62988,"forks":52972,"topics":["a-stock","ai-agent","aigc","llm","quant","quantitative-finance","quantitative-trading"],"archived":false,"github_pushed_at":"2026-08-15T13:59:25+00:00","maintenance_label":"Very active","stars_delta_30d":5457,"url":"https://www.graphcanon.com/tools/zhulinsen-daily-stock-analysis","markdown_url":"https://www.graphcanon.com/tools/zhulinsen-daily-stock-analysis.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/zhulinsen-daily-stock-analysis","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=zhulinsen-daily-stock-analysis","description":"LLM 驱动的多市场股票智能分析系统：多源行情、实时新闻、决策看板与自动推送，支持零成本定时运行。  LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.","homepage_url":"https://dsa.zhulinsen.tech","license":"MIT","open_issues":49,"watchers":247,"ai_summary":"A Python-based intelligent stock analysis system that utilizes LLMs to provide comprehensive insights into multiple markets, including real-time updates and automated alerts, all available at zero operational cost for scheduling.","readme_excerpt":"### 方式二：[客户端配置教程](https://www.bilibili.com/video/BV11FEb66Eyr/) / 本地运行 / Docker 部署\n\n```bash\n\n---\n\n## 📄 License\n\n[MIT License](LICENSE) © 2026 ZhuLinsen\n\n欢迎在二次开发或引用时注明本仓库来源，感谢支持项目持续维护。","github_created_at":"2026-01-10T06:43:20+00:00","created_at":"2026-07-07T17:31:08.378796+00:00","updated_at":"2026-08-16T06:02:10.615177+00:00","categories":[{"slug":"ai-agents","name":"AI Agents","url":"https://www.graphcanon.com/categories/ai-agents","markdown_url":"https://www.graphcanon.com/categories/ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/ai-agents"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"}],"tags":[{"slug":"a-stock","name":"a-stock"},{"slug":"ai-agent","name":"ai-agent"},{"slug":"aigc","name":"aigc"},{"slug":"llm","name":"llm"},{"slug":"quant","name":"quant"},{"slug":"quantitative-finance","name":"quantitative-finance"},{"slug":"quantitative-trading","name":"quantitative-trading"}],"trust":{"provenance":{"is_fork":false,"github_id":1131513930,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-16T06:02:09.867Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":13,"days_since_push":0,"last_release_at":"2026-08-09T14:07:00Z","stars_delta_30d":5457,"open_issues_delta_30d":-18},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T10:56:53.688Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-16T06:02:10.287Z"},"languages":{"value":["python"],"source":"github.language+pyproject.toml","observed_at":"2026-08-16T06:02:10.287Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-08-16T06:02:10.287Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":{"min_ram_gb":4,"requires_docker":false},"constraints":{"min_ram_gb":4,"requires_docker":false},"when_to_use":["- When you need multi-market insights with real-time news, as `daily_stock_analysis` incorporates both into its analysis.","- For users requiring a decision dashboard for clear visualizations of market trends and stock performance without the cost associated with scheduling."],"when_not_to_use":["- If prioritizing manual intervention over automated alerts since `daily_stock_analysis` leans heavily on automated notifications.","- When aiming to integrate specific industry-specific data outside general financial news, as its real-time news coverage is market-based rather than niche-focused."],"source":"enrich:decision_facts","observed_at":"2026-07-11T12:23:03.848Z"},"constraint_facets":{"min_ram_gb":4,"requires_docker":false},"decision_summary":[{"label":"Requirements","value":"Min 4 GB RAM"},{"label":"Adopt for","value":"daily_stock_analysis is an LLM-powered comprehensive stock analysis tool offering real-time updates and automated notifications on multiple market data sources. It supports zero-cost scheduled runs."}]}}