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) Risk Assessment
See examples/risk_analyzer.py for RiskAnalyzer:
Volatility calculation Value at Risk (VaR) assessment Sharpe Ratio calculation Company risk assessment Investment Recommendations
See examples/investment_recommender.py for InvestmentRecommender:
Generates recommendations (Strong Buy, Buy, Hold, Sell, Strong Sell) Calculates investment scores based on technical and fundamental signals Provides confidence levels and risk assessments Portfolio Management
See examples/portfolio_manager.py for PortfolioManager:
Calculate portfolio total value Rebalance portfolio based on target allocations Assess portfolio risk and volatility Market Intelligence
Build market intelligence capabilities by:
Analyzing overall market trends and sector performance Calculating market volatility indices Fetching economic indicators Identifying undervalued, growth, and dividend opportunities Best Practices Analysis Quality ✓ Use multiple data sources ✓ Cross-validate findings ✓ Document assumptions ✓ Consider time horizons ✓ Account for fees and taxes Risk Management ✓ Assess downside risk ✓ Implement stop losses ✓ Diversify appropriately ✓ Position size accordingly ✓ Review regularly Ethical Considerations ✓ Disclose conflicts of interest ✓ Avoid market manipulation ✓ Base recommendations on analysis ✓ Update recommendations regularly ✓ Acknowledge limitations Tools & Data Sources Data APIs yfinance Alpha Vantage IEX Cloud Polygon.io Yahoo Finance Analysis Libraries pandas NumPy scikit-learn TA-Lib statsmodels Getting Started Collect financial data Perform technical analysis Analyze fundamentals Assess risks Generate recommendations Monitor positions Rebalance periodically