stock-copilot-pro

What This Skill Does

Stock Copilot Pro is an advanced AI-powered investment research assistant designed for the OpenClaw ecosystem. It provides comprehensive financial analysis across US, HK, and CN markets by aggregating high-fidelity data from QVeris, THS, Caidazi, Alpha Vantage, and Finnhub. The skill functions as a multi-modal analyst, capable of performing single-stock deep dives, portfolio comparisons, and sentiment tracking. It processes fundamental financial statements, real-time quotes, and technical signals (RSI/MACD/MA) to deliver actionable investment insights. Unlike standard tools, it incorporates social sentiment from X (Twitter) and news-based radar to identify emerging market themes. The output is structured to include value-investing scorecards, safety-margin estimates, and scenario-based recommendations. It supports various investment styles, including value, growth, and tactical trading, ensuring that every insight is backed by a thesis-driven framework.

Installation

To integrate Stock Copilot Pro into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/buxibuxi/stock-copilot-pro Ensure you have configured your QVERIS_API_KEY within your OpenClaw environment variables to enable data connectivity.

Use Cases

1. Deep Fundamental Research: Use the analyze capability to get a valuation and quality check on a potential long-term holding.
2. Portfolio Health Check: Use the compare and watch features to aggregate data on your current holdings, identifying overlapping risks or performance gaps.
3. Event-Driven Analysis: Use the radar and brief capabilities to stay ahead of market-moving news, ensuring your thesis remains aligned with current macroeconomic and sector trends.
4. Sentiment Monitoring: Leverage X sentiment data to identify potential 'anti-chasing' opportunities or speculative bubbles forming in specific sectors.

Example Prompts

1. "Stock Copilot, perform a deep dive analysis on NVDA and TSM; compare their growth potential and valuation metrics against current industry averages."
2. "Show me the morning brief for my current watchlist. Are there any critical news events from Caidazi or X today that might impact my holdings?"
3. "Analyze Alibaba (9988.HK) fundamentals and technicals. Provide a 3-month outlook with a conservative, base, and aggressive scenario."

Tips & Limitations

• Evidence Trace: Use the --evidence flag to see the underlying raw data used in your report; this is vital for audit-heavy research.
• Symbol Accuracy: While the skill handles market-aware symbol mapping (e.g., US/HK/CN), always verify the ticker format if the result is unexpected.
• Data Latency: Some social sentiment data (e.g., X posts) may have a slight delay compared to real-time tick data; treat these as directional signals rather than precise trade triggers.
• Safety: The skill is read-only regarding your brokerage; it provides analysis and recommendations but does not execute trades on your behalf.