Stock Copilot Pro

Stock Copilot Pro

Global Multi-Source Stock Analysis with QVeris.

SEO Keywords

OpenClaw, stock analysis 技能, AI stock copilot, China A-分享s, Hong Kong stocks, US stocks, quantitative analysis, fundamental analysis, technical analysis, sentiment analysis, industry radar, morning evening brief, watch列出, portfolio 监控ing, QVeris API, THS iFinD, CAIdazi, Alpha Vantage, Finnhub, X sentiment, investment re搜索 助手

Supported Capabilities Single-stock analysis (analyze): valuation, 质量, technicals, sentiment, risk/timing Multi-stock comparison (compare): cross-symbol ranking and portfolio-level view Watch列出/holdings management (watch): 列出/添加/移除 for holdings and watch列出 Morning/Evening brief (brief): holdings-focused dAIly actionable briefing Industry hot-topic radar (radar): multi-source topic aggregation for investable themes Multi-格式化 输出: markdown, json, chat OpenClaw LLM-ready flow: structured data in code + 图形界面ded narrative in 技能.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_状态ments ths_ifind.company_basics ths_ifind.历史_quotation CN/HK news and re搜索: cAIdazi.news.查询 cAIdazi.报告.查询 cAIdazi.搜索.hybrid.列出 cAIdazi.搜索.hybrid_v2.查询 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_事件 qveris_social.x_domAIn_new_posts x_developer.2.tweets.搜索.recent What This 技能 Does

Stock Copilot Pro performs end-to-end stock analysis with five data domAIns:

Market quote / trading 上下文 Fundamental 指标 Technical 签名als (RSI/MACD/MA) News and sentiment X sentiment

It then 生成s a data-rich analyst 报告 with:

value-investing scorecard event-timing anti-chasing classification safety-margin estimate thesis-driven investment 框架 (drivers/risks/scenarios/KPIs) multi-style playbooks (value/balanced/growth/trading) event radar with candidate ideas from news and X scenario-based recommendations standard readable 输出 (default) + optional full evidence 追踪 (--evidence) Key Advantages Deterministic 工具 routing via references/工具-chAIns.json Evolution v2 parameter-template memory to reduce recurring parameter errors Strong fallback strategy across 提供者s and markets US/HK/CN market-aware symbol handling Structured 输出s for 机器人h analyst reading and machine ingestion Safety-first handling of secrets and 运行time 状态 Core 工作流

Resolve user 输入 to symbol + market (supports company-name aliases, e.g. Chinese name -> 600089.SH).

搜索 工具s by capability (quote, fundamentals, indicators, sentiment, X sentiment).

路由 by hardcoded 工具 chAIns first (market-aware), then fallback generic capability 搜索.

For CN/HK sentiment, prioritize cAIdazi channels (报告/news/wechat). For CN/HK fundamentals, prioritize THS financial 状态ments (income/balance sheet/cash flow), then fallback to company basics.

Before execution, try evolution parameter templates; if unavAIlable, use default param 构建器.

运行 质量 检查s:

Missing key fields Data recency Cross-source inconsistency

Produce analyst 报告 with:

composite score safety margin event-driven vs pullback-risk timing classification structured thesis (driver/risk/scenario/KPI) event radar (timeline/theme) and candidate ideas style-specific execution playbooks market scenario suggestions optional 解析d/raw evidence sections when --evidence is enabled

Preference routing (public audience default):

If no preference flags are provided, script returns a questionnAIre first. You can skip this with --skip-questionnAIre. Command Surface

Primary script: scripts/stock_copilot_pro.mjs

Analyze one symbol: node scripts/stock_copilot_pro.mjs analyze --symbol AAPL --market US --mode comprehensive node scripts/stock_copilot_pro.mjs analyze --symbol "" --mode comprehensive Compare multiple symbols: node scripts/stock_copilot_pro.mjs compare --symbols AAPL,MSFT --market US --mode comprehensive Manage watch列出: node scripts/stock_copilot_pro.mjs watch --action 列出 node scripts/stock_copilot_pro.mjs watch --action 添加 --bucket holdings --symbol AAPL --market US node scripts/stock_copilot_pro.mjs watch --action 移除 --bucket watch列出 --symbol 0700.HK --market HK 生成 brief: node scripts/stock_copilot_pro.mjs brief --type morning --格式化 chat node scripts/stock_copilot_pro.mjs brief --type evening --格式化 markdown 运行 industry radar: node scripts/stock_copilot_pro.mjs radar --market GLOBAL --limit 10 OpenClaw scheduled tasks (morning/evening brief and radar)

To 设置 up morning brief, evening brief, or dAIly radar in OpenClaw, use only the official OpenClaw cron 格式化 and 创建 jobs via the 命令行工具 or Gateway cron 工具. Do not edit ~/.OpenClaw/cron/jobs.json directly.

Reference: the jobs array in config/OpenClaw-cron.example.json; each item is one cron.添加 payloa