# Known Use Cases (KUC)

Total: **13**

## `KUC-101`
**Source**: `examples/Finance Toolkit - 0. README Examples.ipynb`

Demonstrating comprehensive financial analysis capabilities covering multiple domains including historical data, financial statements, ratios, models, options, performance, risk, technical analysis, and fixed income in a single workflow.

## `KUC-102`
**Source**: `examples/Finance Toolkit - 1. Getting Started.ipynb`

Retrieving foundational financial data including historical price data, balance sheets, income statements, and cash flow statements for fundamental analysis and financial modeling.

## `KUC-103`
**Source**: `examples/Finance Toolkit - 10. Fixed Income Module.ipynb`

Analyzing fixed income securities including bond statistics, duration calculations, derivative pricing models, and government/corporate bond yield comparisons across multiple countries.

## `KUC-104`
**Source**: `examples/Finance Toolkit - 11. Portfolio Module.ipynb`

Measuring portfolio performance metrics, transaction history, risk-adjusted returns, and benchmarking against market indices like S&P 500 to evaluate investment performance.

## `KUC-105`
**Source**: `examples/Finance Toolkit - 5. Discovery Module.ipynb`

Discovering investment opportunities through stock screening based on market cap, price, beta, volume, and dividend criteria, and identifying top gainers, losers, and most active stocks.

## `KUC-106`
**Source**: `examples/Finance Toolkit - 3. Ratios Module.ipynb`

Evaluating company financial health through profitability ratios, solvency ratios, liquidity ratios, valuation ratios, and custom ratio calculations for multiple companies over time.

## `KUC-107`
**Source**: `examples/Finance Toolkit - 4. Models Module.ipynb`

Applying financial models including Extended Dupont analysis, WACC calculation, Altman Z-score for bankruptcy prediction, and Piotroski F-Score for financial health assessment.

## `KUC-108`
**Source**: `examples/Finance Toolkit - 5. Options Module.ipynb`

Computing options pricing using Black-Scholes and binomial models, simulating stock price paths with Monte Carlo methods, and analyzing Greeks (delta, gamma, etc.) for options strategy evaluation.

## `KUC-109`
**Source**: `examples/Finance Toolkit - 6. Technicals Module.ipynb`

Calculating technical indicators including Bollinger Bands, RSI, ADX, and other chart patterns to identify trends, momentum, overbought/oversold conditions, and trading signals.

## `KUC-110`
**Source**: `examples/Finance Toolkit - 7. Risk Module.ipynb`

Quantifying investment risk through Value at Risk (VaR), Conditional VaR (CVaR), maximum drawdown, and return distribution analysis to measure downside risk and tail losses.

## `KUC-111`
**Source**: `examples/Finance Toolkit - 8. Performance Module.ipynb`

Evaluating investment performance using CAPM, Fama-French multi-factor models, Sharpe ratio, and Jensen's alpha to understand risk-adjusted returns and factor-based performance attribution.

## `KUC-112`
**Source**: `examples/Finance Toolkit - 9. Economics Module.ipynb`

Tracking macroeconomic conditions through consumer confidence indices, short-term and long-term interest rates across multiple countries to inform investment decisions.

## `KUC-113`
**Source**: `examples/Finance Toolkit - Using External Datasets.ipynb`

Importing proprietary or third-party financial data from CSV files, normalizing formats, and combining multiple datasets for unified analysis within the toolkit.