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Financial Analysis Agent

This gives you a foundation for building investment analysis tools with technical indicators, fundamental ratios, and risk metrics. You get classes for pulling data from yfinance, calculating things like RSI and moving averages, running valuation analysis with PE and PB ratios, and generating buy/sell recommendations with confidence scores. The portfolio manager handles rebalancing and risk assessment across holdings. It's solid for prototyping robo-advisors or internal analysis tools, though you'll want to add your own data validation and error handling before using this with real money. The ethical guidelines about disclosing limitations and avoiding market manipulation are worth keeping front of mind.

skills.sh installs
1.3K
GitHub stars
48
last updated
Aug 21, 2026

Install

$ npx -y skills add qodex-ai/ai-agent-skills --skill financial-analysis-agent --agent claude-code

Installs into .claude/skills of the current project.

Files

Financial Analysis Agent

Build intelligent financial analysis agents that evaluate investments, assess risks, and generate data-driven recommendations.

Financial Data Integration

See examples/financial_data_collector.py for the FinancialDataCollector class that:

  • Integrates with yfinance for stock data
  • Retrieves financial statements (income, balance sheet, cash flow)
  • Fetches key metrics (market cap, PE ratio, dividend yield, etc.)

Financial Analysis Techniques

Technical Analysis

See examples/technical_analyzer.py for TechnicalAnalyzer:

  • Moving averages calculation
  • Relative Strength Index (RSI)
  • Support and resistance level identification

Fundamental Analysis

See examples/fundamental_analyzer.py for FundamentalAnalyzer:

  • Profitability ratios (gross margin, operating margin, net margin, ROA, ROE)
  • Valuation ratios (PE, PB, PEG, price-to-sales)
  • Liquidity ratios (current ratio, quick ratio, debt-to-equity)

Sponsors

Details

Repository
github.com/qodex-ai/ai-agent-skills
Categories
AI & Agent Building, Data Science & ML, Finance & Trading
First seen
Apr 16, 2026

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