AgentSkillsCN

stock-copilot-pro

由 QVeris 驱动的高性能全球股市分析助手。它融合了行情报价、基本面分析、技术面分析、新闻情绪与 X 情绪，并结合自适应工具学习，从而提升成功率、优化信号质量。

SKILL.md
--- frontmatter
name: stock-copilot-pro
description: High-performance global stock analysis copilot powered by QVeris. Fuses quote, fundamentals, technicals, news sentiment, and X sentiment with adaptive tool learning for higher success and better signal quality.
env:
  - QVERIS_API_KEY
credentials:
  required:
    - QVERIS_API_KEY
  primary_env: QVERIS_API_KEY
  scope: read-only
  endpoint: https://qveris.ai/api/v1
network:
  outbound_hosts:
    - qveris.ai
auto_invoke: true
source: https://qveris.ai
examples:
  - "Analyze AAPL with a comprehensive report"
  - "Technical analysis for 0700.HK"
  - "Compare AAPL, MSFT, NVDA"
  - "Give me fundamentals and sentiment for 600519.SS"

Stock Copilot Pro

Global Multi-Source Stock Analysis with QVeris.

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 structured markdown report: summary / fundamentals / technicals / sentiment / risks / conclusion.

Key Advantages

  • •Dynamic tool learning that improves route quality over time
  • •Strong fallback strategy across providers and markets
  • •US/HK/CN market-aware symbol handling
  • •Structured outputs for both analyst reading and machine ingestion
  • •Safety-first handling of secrets and runtime state

Core Workflow

  1. •Resolve user input to symbol + market (supports company-name aliases, e.g. 特变电工 -> 600089.SH).
  2. •Search tools by capability (quote, fundamentals, indicators, sentiment, X sentiment).
  3. •Rank candidates by success_rate, latency, parameter fit, and market-native provider preference.
    • •For CN/HK sentiment, prioritize caidazi channels (report/news/wechat).
    • •For CN/HK fundamentals, prioritize THS financial statements (income/balance sheet/cash flow), then fallback to company basics.
  4. •Try learned priority queue first, then execute fallback candidates.
  5. •Run quality checks:
    • •Missing key fields
    • •Data recency
    • •Cross-source inconsistency
  6. •Produce report with confidence score and explicit caveats.

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 "特变电工" --mode comprehensive
  • •Compare multiple symbols:
    • •node scripts/stock_copilot_pro.mjs compare --symbols AAPL,MSFT --market US --mode comprehensive

CN/HK Coverage Details

  • •Company-name input is supported and auto-resolved to market + symbol for common names.
  • •Sentiment path prioritizes caidazi (research reports, news, wechat/public-account channels).
  • •Fundamentals path prioritizes THS financial statements endpoints and extracts key fields such as:
    • •revenue
    • •netProfit
    • •totalAssets
    • •totalLiabilities
    • •operatingCashflow

Output Modes

  • •markdown (default): human-readable report
  • •json: machine-readable merged payload

Dynamic Evolution

  • •Runtime learning state is stored in .evolution/tool-evolution.json.
  • •Admission policy is aggressive: one successful tool execution can enter queue.
  • •Future runs prioritize previously successful tools to improve execution reliability.
  • •Use --no-evolution to disable loading/saving runtime learning state.

Safety and Disclosure

  • •Uses only QVERIS_API_KEY.
  • •Calls only QVeris APIs over HTTPS.
  • •Does not store API keys in logs, reports, or evolution state.
  • •Runtime persistence is limited to .evolution/tool-evolution.json (tool routing stats only).
  • •No package installation or arbitrary command execution is performed by this skill script.
  • •Research-only output. Not investment advice.