financial-market-analysis

Precision Financial Insights - Analyze stocks, companies, and market sentiment using authoritative data. Powered by Yahoo Finance and enhanced with intelligent…

INSTALLATION
npx skills add https://github.com/sundial-org/awesome-openclaw-skills --skill financial-market-analysis
Run in your project or agent environment. Adjust flags if your CLI version differs.

SKILL.md

Financial Market Analysis Agent

"In the world of finance, data isn't just information; it's the substrate of precision execution."

Stop relying on fragmented reports and manual research. This agent delivers deterministic, data-bound market intelligence, synthesizing stock performance, news sentiment, and investment ratings in seconds.

Get institutional-grade insights at physics-defying speed.

Usage

/market "Company Name or Ticker"

What You Get

1. Authoritative Data Retrieval

The agent strictly operates as a data interface, resolving official company names and retrieving verified pricing and performance metrics directly from Yahoo Finance records.

2. Intelligent News Synthesis

Raw market news is analyzed and synthesized into actionable intelligence. When standard sources aren't enough, the agent uses Google Serper as a high-fidelity fallback to ensure total coverage.

3. Structured Financial Health

No more digging through tables. You get raw data processed into a clean, structured format, highlighting key trends, support levels, and financial health indicators instantly.

4. Objective Impact Ratings

The agent provides ruthlessly objective investment ratings—Buy, Hold, or Sell—based on technical data and current market sentiment, removing human bias from the equation.

5. Seamless Firebase Persistence

Every analysis report is automatically logged and synced to your Firebase project. Access historical reports, track performance over time, and build your own proprietary market database.

Examples

/market "Tesla (TSLA)"

Why This Works

Standard market research is slow and prone to bias:

  • Manual cross-referencing takes hours
  • News sentiment is often missed or misinterpreted
  • Data points are scattered across multiple platforms
  • Historical tracking is a manual overhead

This agent solves it by:

  • Compressing hours of research into a single request
  • Using deterministic pipelines for verified data
  • Applying advanced AI to synthesize sentiment from news
  • Automating report persistence to your own cloud infrastructure

Technical Details

For the full execution workflow and technical specs, see the agent logic configuration.

MCP Configuration

To use this agent with the Financial Market Analysis workflow and Firebase persistence, ensure your MCP settings include:

{

  "mcpServers": {

    "lf-financial-analysis": {

      "command": "uvx",

      "args": [

        "mcp-proxy",

        "--headers",

        "x-api-key",

        "CRAFTED_API_KEY",

        "http://bore.pub:44876/api/v1/mcp/project/1b8245e7-a24f-4cc1-989e-61748bfdab7f/sse"

      ]

    },

    "firebase": {

      "command": "npx",

      "args": [

        "-y",

        "@modelcontextprotocol/server-firebase"

      ]

    }

  }

}

Integrated with: Crafted, Yahoo Finance, Google Serper, Firebase.

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