Overview
- Skill Key
- buxibuxi/stock-copilot-pro
- Author
- buxibuxi
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/buxibuxi/stock-copilot-pro
- Latest Commit SHA
- 08c046ce0bbaf462caf3b66af1e52720ec1568f2
OpenClaw stock analysis skill for US/HK/CN markets. Combines QVeris data sources (THS, Caidazi, Alpha Vantage, Finnhub, X sentiment) for quote, fundamentals, technicals, news radar, morning/evening brief, and actionable investment insights.
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 stock-copilot-pro 技能。 若已安装,则直接安装 stock-copilot-pro 技能。
# Stock Copilot Pro Global Multi-Source Stock Analysis with QVeris. ## SEO Keywords OpenClaw, stock analysis skill, AI stock copilot, China A-shares, Hong Kong stocks, US stocks, quantitative analysis, fundamental analysis, technical analysis, sentiment analysis, industry radar, morning evening brief, watchlist, portfolio monitoring, QVeris API, THS iFinD, Caidazi, Alpha Vantage, Finnhub, X sentiment, investment research assistant ## Supported Capabilities - Single-stock analysis (`analyze`): valuation, quality, technicals, sentiment, risk/timing - Multi-stock comparison (`compare`): cross-symbol ranking and portfolio-level view - Watchlist/holdings management (`watch`): list/add/remove for holdings and watchlist - Morning/Evening brief (`brief`): holdings-focused daily actionable briefing - Industry hot-topic radar (`radar`): multi-source topic aggregation for investable themes - Multi-format output: `markdown`, `json`, `chat` - OpenClaw LLM-ready flow: structured data in code + guided narrative in `SKILL.md` ## Data Sources - Core MCP/API gateway: `qveris.ai` (`QVERIS_API_KEY`) - CN/HK quote and fundamentals: - `ths_ifind.real_time_quotation` - `ths_ifind.financial_statements` - `ths_ifind.company_basics` - `ths_ifind.history_quotation` - CN/HK news and research: - `caidazi.news.query` - `caidazi.report.query` - `caidazi.search.hybrid.list` - `caidazi.search.hybrid_v2.query` - Global news sentiment: - `alpha_news_sentiment` - `finnhub.news` - X/Twitter sentiment and hot topics: - `qveris_social.x_domain_hot_topics` - `qveris_social.x_domain_hot_events` - `qveris_social.x_domain_new_posts` - `x_developer.2.tweets.search.recent` ## What This Skill Does Stock Copilot Pro performs end-to-end stock analysis with five data domains: 1. Market quote / trading context 2. Fundamental metrics 3. Technical signals (RSI/MACD/MA) 4. News and sentiment 5. X sentiment It then generates a data-rich analyst report with: - value-investing score...
# Stock Copilot Pro Global multi-source stock analysis skill for ClawHub/OpenClaw style agents. ## SEO Keywords OpenClaw stock skill, AI stock analysis, stock copilot, A股分析工具, 港股分析工具, 美股分析工具, 量化选股, 基本面分析, 技术分析 RSI MACD, 新闻情绪分析, X/Twitter sentiment, 行业雷达, 早报晚报, watchlist 管理, QVeris API, THS iFinD, Caidazi, Alpha Vantage, Finnhub ## Supported Capabilities - `analyze`: 单票深度分析(估值、财务质量、技术面、新闻情绪、时序风险) - `compare`: 多标的对比与风险收益排序 - `watch`: 持仓/关注池管理(list/add/remove) - `brief`: 持仓导向的早报/晚报(可执行建议) - `radar`: 行业热点雷达(多源主题聚合 + 投资线索) - OpenClaw 场景优化:技能负责结构化数据,LLM 负责专业报告生成 ## Data Sources (What powers this skill) - **QVeris MCP/API**: unified tool discovery and execution (`qveris.ai`) - **THS iFinD (CN/HK market data)**: - real-time quote: `ths_ifind.real_time_quotation` - financial statements: `ths_ifind.financial_statements` - company profile: `ths_ifind.company_basics` - historical prices: `ths_ifind.history_quotation` - **Caidazi (CN news/research/public account)**: - `caidazi.news.query` - `caidazi.report.query` - `caidazi.search.hybrid.list` - `caidazi.search.hybrid_v2.query` - **Global market/news sentiment**: - `alpha_news_sentiment` - `finnhub.news` - **X/Twitter domain sentiment**: - `qveris_social.x_domain_hot_topics` - `qveris_social.x_domain_hot_events` - `qveris_social.x_domain_new_posts` - `x_developer.2.tweets.search.recent` ## Highlights - Full-stack market intelligence: quote, fundamentals, technicals, news sentiment, and X sentiment - Deterministic routing with `references/tool-chains.json` (stable tool priority by market/capability) - Evolution v2: parameter-template memory from successful calls (reduces parameter mismatch errors) - Cross-market support for US/HK/CN with market-aware symbol normalization - Company-name friendly flow: auto resolves common company names to ticke...
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