Create agents for financial analysis, investment research, and portfolio management. Covers financial data processing, risk analysis, and recommendation generation. Use when building investment analysis tools, robo-advisors, portfolio trackers, or financial intelligence systems.

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](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](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](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](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](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](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 1. Collect financial data 2. Perform technical analysis 3. Analyze fundamentals 4. Assess risks 5. Generate recommendations 6. Monitor positions 7. Rebalance periodically

financial-analysis-agent