@WY_mask: Strongly recommend installing this for anyone wanting to trade US stocks. It has 40k stars on GitHub. An AI large model based intelligent analysis system for A-shares, Hong Kong stocks, and US stocks watchlists. Automatically analyzes daily and pushes decision dashboards, market trend analysis, important news, individual stock tracking, and generates investment analysis reports. https://gith…

If you want to trade US stocks, I strongly recommend installing this — it has 40k stars on GitHub. An AI-powered intelligent analysis system for A-shares/H-shares/US stocks watchlists that automatically analyzes and pushes decision dashboards daily 📊 Analyzes market trends 📰 Compiles key news 📈 Tracks individual stocks 🤖 Auto-generates investment analysis reports https://t.co/1sd2oGajZK https://t.co/hKeeJCNzv5 — # ZhuLinsen/daily_stock_analysis Source: https://github.com/ZhuLinsen/daily_stock_analysis # 📈 Stock Intelligent Analysis System GitHub stars (https://github.com/ZhuLinsen/daily_stock_analysis/stargazers) CI (https://github.com/ZhuLinsen/daily_stock_analysis/actions/workflows/ci.yml) License: MIT (https://opensource.org/licenses/MIT) Python 3.10+ (https://www.python.org/downloads/) GitHub Actions (https://github.com/features/actions) Docker (https://hub.docker.com/r/zhulinsen/daily_stock_analysis) > 🤖 AI-powered intelligent analysis system for A-shares/H-shares/US stocks watchlists, automatically analyzes and pushes “Decision Dashboard” to WeCom/Feishu/Telegram/Discord/Slack/Email Product Preview · Features · Quick Start · Push Preview · Documentation · Full Guide Simplified Chinese | English | Traditional Chinese ## 💖 Sponsors ## 🖥️ Product Preview ## ✨ Features | Capability | Coverage | |——|——| | AI Decision Report | Core conclusions, scores, trends, entry/exit points, risk alerts, catalysts, operation checklists | | Multi‑market Data Aggregation | A‑shares, H‑shares, US stocks, ETFs; quotes, K‑lines, technical indicators, fund flows, chip distribution, news, announcements, fundamentals | | Web / Desktop Dashboard | Manual analysis, task progress, history reports, full Markdown, backtesting, portfolio management, config management, light/dark themes | | Agent Strategy Q&A | Multi‑round Q&A supporting 15+ built‑in strategies (MA, Chan Theory, Elliott Wave, Trend, Hot Topics, Events, Growth, Expectations, etc.), covering Web/Bot/API | | Smart Import & Completion | Import from images, CSV/Excel, clipboard; auto‑complete stock codes/names/pinyin/aliases | | Automation & Push | GitHub Actions, Docker, local scheduled tasks, FastAPI service; push to WeCom/Feishu/Telegram/Discord/Slack/Email | > For feature details, field contracts, fundamental P0 timeout semantics, trading discipline, data source priority, Web/API behavior, see Full Configuration & Deployment Guide. ### Tech Stack & Data Sources | Type | Supported | |——|——| | AI Models | Anspire (https://open.anspire.cn/?share_code=QFBC0FYC), AIHubMix (https://aihubmix.com/?aff=CfMq), Gemini, OpenAI compatible, DeepSeek, Qwen, Claude, Ollama local models, etc. | | Market Data | TickFlow (https://tickflow.org/auth/register?ref=WDSGSPS5XC), AkShare, Tushare, Pytdx, Baostock, YFinance, Longbridge | | News Search | Anspire (https://open.anspire.cn/?share_code=QFBC0FYC), SerpAPI (https://serpapi.com/baidu-search-api?utm_source=github_daily_stock_analysis), Tavily (https://tavily.com/), Bocha (https://open.bocha.cn/), Brave (https://brave.com/search/api/), MiniMax (https://platform.minimaxi.com/), SearXNG | | Social Sentiment | Stock Sentiment API (https://api.adanos.org/docs) (Reddit / X / Polymarket, US stocks only, optional) | > Full rules at Data Source Configuration. ## 🚀 Quick Start ### Method 1: GitHub Actions (Recommended) > Deploy in 5 minutes, zero cost, no server required. #### 1. Fork this repo Click the Fork button in the upper‑right corner (and hit ⭐ to show support). #### 2. Configure Secrets Settings → Secrets and variables → Actions → New repository secret AI Model Configuration (configure at least one) First pick one model provider and fill in the API Key; for multi‑model, image recognition, local models or advanced routing, refer to LLM Configuration Guide. | Secret Name | Description | Required | |————|——|:––:| | ANSPIRE_API_KEYS | Anspire (https://open.anspire.cn/?share_code=QFBC0FYC) API Key. One key enables both popular global models and web search — no VPN needed, includes free credits | Recommended | | AIHUBMIX_KEY | AIHubMix (https://aihubmix.com/?aff=CfMq) API Key. Switch across the full model lineup with one key — no VPN needed, 10% discount for this project | Recommended | | GEMINI_API_KEY | Google Gemini API Key | Optional | | ANTHROPIC_API_KEY | Anthropic Claude API Key | Optional | | OPENAI_API_KEY | OpenAI compatible API Key (supports DeepSeek, Qwen, etc.) | Optional | | OPENAI_BASE_URL / OPENAI_MODEL | Required when using OpenAI compatible services | Optional | > Ollama is better suited for local / Docker deployment; cloud APIs are recommended for GitHub Actions. Notification Channel Configuration (configure at least one) | Secret Name | Description | |————|——| | WECHAT_WEBHOOK_URL | WeCom bot | | FEISHU_WEBHOOK_URL | Feishu bot | | TELEGRAM_BOT_TOKEN + TELEGRAM_CHAT_ID | Telegram | | DISCORD_WEBHOOK_URL | Discord Webhook | | SLACK_BOT_TOKEN + SLACK_CHANNEL_ID | Slack Bot | | EMAIL_SENDER + EMAIL_PASSWORD | Email push | For more channels, signature verification, group email, Markdown‑to‑image, etc., see Notification Channel Configuration. Watchlist Configuration (required) | Secret Name | Description | Required | |————|——|:––:| | STOCK_LIST | Watchlist codes, e.g. 600519,hk00700,AAPL,TSLA | ✅ | News Source Configuration (recommended) News sources significantly impact sentiment, announcements, events and catalyst quality; it’s recommended to configure at least one search service. | Secret Name | Description | Required | |————|——|:––:| | ANSPIRE_API_KEYS | Anspire AI Search (https://aisearch.anspire.cn/): optimized for Chinese content, suitable for A‑share news and sentiment retrieval; same key can be reused for Anspire models | Recommended | | SERPAPI_API_KEYS | SerpAPI (https://serpapi.com/baidu-search-api?utm_source=github_daily_stock_analysis): search engine result enhancement, ideal for real‑time financial news | Recommended | | TAVILY_API_KEYS | Tavily (https://tavily.com/): general news search API | Optional | | BOCHA_API_KEYS | Bocha Search (https://open.bocha.cn/): optimized for Chinese search, supports AI summaries | Optional | | BRAVE_API_KEYS | Brave Search (https://brave.com/search/api/): privacy‑first, enhances US stock news | Optional | | MINIMAX_API_KEYS | MiniMax (https://platform.minimaxi.com/): structured search results | Optional | | SEARXNG_BASE_URLS | Self‑hosted SearXNG instance: quota‑free fallback, good for private deployment | Optional | For more search sources, social sentiment and fallback rules, see Search Service Configuration. #### 3. Enable Actions Actions tab → I understand my workflows, go ahead and enable them #### 4. Manual Test Actions → Daily Stock Analysis → Run workflow → Run workflow #### Done By default runs at 18:00 Beijing time on every business day; can also be triggered manually. Non‑trading days (including A/H/US holidays) are skipped by default; for forced runs, trading day checks, resumable uploads, etc., see Full Guide. ### Method 2: Local Run / Docker Deployment bash # Clone project git clone https://github.com/ZhuLinsen/daily_stock_analysis.git && cd daily_stock_analysis # Install dependencies pip install -r requirements.txt # Configure environment variables cp .env.example .env && vim .env # Run analysis python main.py Common commands: bash python main.py --debug python main.py --dry-run python main.py --stocks 600519,hk00700,AAPL python main.py --market-review python main.py --schedule python main.py --serve-only > For Docker deployment, scheduled tasks, cloud server access, refer to Full Guide; for desktop client packaging, see Desktop Packaging Guide. ## 📱 Push Preview ### Decision Dashboard 🎯 2026-02-08 Decision Dashboard Analysis of 3 stocks | 🟢Buy:0 🟡Hold:2 🔴Sell:1 📊 Analysis Summary ⚪ China Tungsten & High-Tech (000657): Hold | Score 65 | Bullish ⚪ Yongding Co (600105): Hold | Score 48 | Neutral 🟡 Xinlai Yingcai (300260): Sell | Score 35 | Bearish ⚪ China Tungsten & High-Tech (000657) 📰 Key News Flash 💭 Sentiment: Market focuses on its AI attributes and strong earnings growth, sentiment is generally positive but short‑term profit‑taking and main capital outflows need to be digested. 📊 Earnings Expectations: Based on news, Q1‑Q3 2025 year‑over‑year earnings grew significantly; strong fundamentals support the stock price. 🚨 Risk Alerts: Risk 1: On Feb 5, main capital had a net sell‑off of RMB 363M, short‑term selling pressure warrants caution. Risk 2: Chip concentration is as high as 35.15%, indicating scattered positions and potentially greater upward resistance. Risk 3: News mentions historical violations and restructuring‑related risks — stay alert. ✨ Bullish Catalysts: Positive 1: Company is positioned as a core AI GPU HDI supplier, benefiting from AI industry growth. Positive 2: Q1‑Q3 2025 non‑GAAP net profit surged 407.52% year‑over‑year, strong performance. 📢 Latest Updates: [Latest News] Reports state the company is a leader in AI PCB micro‑drills, deeply tied to top global PCB/substrate makers. On Feb 5 main capital net sold RMB 363M — monitor capital flows going forward. --- Generated at: 18:00 ### Market Review 🎯 2026-01-10 Market Review 📊 Major Indices - Shanghai Composite: 3250.12 (🟢+0.85%) - Shenzhen Component: 10521.36 (🟢+1.02%) - ChiNext: 2156.78 (🟢+1.35%) 📈 Market Overview Gainers: 3920 | Losers: 1349 | Limit‑up: 155 | Limit‑down: 3 🔥 Sector Performance Leading: Internet Services, Media & Culture, Minor Metals Lagging: Insurance, Airports, Photovoltaic Equipment ## ⚙️ Configuration Full details on environment variables, model channels, notification channels, data source priority, trading discipline, fundamental P0 semantics and deployment instructions are available in the Full Configuration Guide. ## 🖥️ Web Interface The Web dashboard provides config management, task monitoring, manual analysis, history reports, full Markdown reports, Agent Q&A, backtesting, portfolio management, smart import and light/dark themes. Start with: bash python main.py --webui python main.py --webui-only Visit http://127.0.0.1:8000 to use it. Details on authentication, smart import, search completion, history report copying, cloud server access, etc., are covered in Local WebUI Management. ## 🤖 Agent Strategy Q&A Once any valid AI API Key is configured, the Web /chat page enables strategy Q&A; to explicitly disable it, set AGENT_MODE=false. - Supports built‑in strategies: MA crossover, Chan Theory, Elliott Wave, bullish trend, hot topics, event‑driven, growth quality, expectation re‑rating, etc. - Supports real‑time quotes, K‑lines, technical indicators, news and risk info calls. - Supports multi‑round Q&A, session export, send to notification channels and background execution. - Supports custom strategy files and multi‑agent orchestration (experimental). > For Agent parameters, skill naming compatibility, multi‑agent mode and budget guardrails, see Full Guide and LLM Configuration Guide. ## 🧩 Related Projects > DSA focuses on daily analysis reports; the two sister projects below cover stock screening, strategy validation and strategy evolution, suitable for extending usage as needed. They are currently maintained independently, and future work will explore integration with DSA for candidate stock import, backtesting validation and report linkage. | Project | Focus | |——|——| | AlphaSift (https://github.com/ZhuLinsen/alphasift) | Multi‑factor stock screening and full‑market scanning, to extract candidate stocks from the pool | | AlphaEvo (https://github.com/ZhuLinsen/alphaevo) | Strategy backtesting and self‑evolution, to validate strategy rules and explore strategy parameters & combinations through iteration | ## 📬 Contact & Collaboration Email: [email protected] Project consulting, deployment support & feature extensions Scan QR code to follow on Xiaohongshu Xiaohongshu Welcome to follow on Xiaohongshu Issue feedback: Submit an Issue ## 📄 License MIT License © 2026 ZhuLinsen When redistributing or referencing this project, please mention the original repository — thank you for supporting ongoing maintenance. ## ⚠️ Disclaimer This project is for learning and research purposes only and does not constitute investment advice. The stock market is risky; invest with caution. The author is not responsible for any losses resulting from the use of this project. — > WY_mask: > Make your agent learn to trade US stocks directly > > Vibe‑Trading is a multi‑agent tool for trading and research. It integrates A‑shares, HK/US stocks, crypto, futures and forex, provides 74 skills, 29 swarm presets and 22 MCP tools, and supports backtesting, exporting to TradingView and Tongdaxin — ready to connect.