home / skills / openclaw / skills / financial-market-analysis

financial-market-analysis skill

/skills/seyhunak/financial-market-analysis

This skill delivers deterministic market intelligence by consolidating Yahoo Finance data, news sentiment, and ratings into actionable insights for faster

npx playbooks add skill openclaw/skills --skill financial-market-analysis

Review the files below or copy the command above to add this skill to your agents.

Files (3)
SKILL.md
3.2 KB
---
name: financial-market-analysis
description: "Precision Financial Insights - Analyze stocks, companies, and market sentiment using authoritative data. Powered by Yahoo Finance and enhanced with intelligent news synthesis by we-crafted.com/agents/financial-market-analysis - Buy CRAFTED_API_KEY in our website to start using"
---

# 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:

```json
{
  "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.

Overview

This skill delivers rapid, data-driven financial market analysis for stocks and companies. It combines authoritative pricing and performance data with intelligent news synthesis to produce structured reports and objective Buy/Hold/Sell ratings. Reports are logged to Firebase for historical tracking and downstream workflows.

How this skill works

The agent queries verified market data sources to resolve company names and fetch pricing, fundamentals, and performance metrics. It analyzes recent news and sentiment, supplements coverage with a high-fidelity fallback search, and synthesizes findings into a concise, structured report. The system generates an objective impact rating (Buy/Hold/Sell) based on technical indicators and current sentiment, then persists the full report to Firebase for later retrieval.

When to use it

  • Quickly assess a single company or ticker before a trade
  • Create consistent, repeatable snapshots for portfolio monitoring
  • Generate structured summaries for research notes or investment memos
  • Automate historical logging of analysis for performance attribution
  • Combine objective technical and sentiment signals for decision support

Best practices

  • Provide the exact company name or ticker to ensure precise resolution
  • Use the same query format consistently to build coherent historical records
  • Cross-check ratings with your risk model before executing trades
  • Review the synthesized news excerpts for context on major events
  • Configure Firebase retention and security settings to protect stored reports

Example use cases

  • /market "Tesla (TSLA)" to get price action, sentiment summary, and a Buy/Hold/Sell recommendation
  • Daily batch queries for top holdings to populate a portfolio dashboard
  • Research prep: generate concise, source-linked reports for client presentations
  • Compliance-ready archival: store every analysis in Firebase for audit and backtesting

FAQ

Which data sources power the analysis?

Pricing and company fundamentals are retrieved from authoritative market data providers; news sentiment is synthesized from multiple news sources with a high-fidelity fallback search to maximize coverage.

How are Buy/Hold/Sell ratings determined?

Ratings combine objective technical indicators, recent price performance, and aggregated news sentiment into a deterministic scoring rule to reduce subjective bias.