# Known Use Cases (KUC)

Total: **19**

## `KUC-101`
**Source**: `examples/BacktestingMomentumTrading.ipynb`

Tests a dual moving average crossover strategy to identify optimal buy/sell signals for multiple stocks based on short-term vs long-term momentum.

## `KUC-102`
**Source**: `examples/EthereumTrendAnalysis.ipynb`

Analyzes Ethereum price trends using technical indicators (moving averages, volatility) to identify patterns and trading opportunities in crypto markets.

## `KUC-103`
**Source**: `examples/copperToGoldRatio.ipynb`

Tracks the copper/gold ratio over time and correlates it with US Treasury yields to identify economic cycle indicators.

## `KUC-104`
**Source**: `examples/currencyExchangeRateForecasting.ipynb`

Uses ARIMA, SARIMAX, and LSTM models to forecast EUR/USD exchange rate movements for forex trading decisions.

## `KUC-105`
**Source**: `examples/financialStatements.ipynb`

Compares financial statements (balance sheets) from multiple data providers to ensure data consistency and quality for fundamental analysis.

## `KUC-106`
**Source**: `examples/findSymbols.ipynb`

Searches for stocks, ETFs, and indices using various filters (sector, industry, country, recommendation) to find investment candidates.

## `KUC-107`
**Source**: `examples/googleColab.ipynb`

Explores OpenBB platform capabilities for retrieving and analyzing options chains data for derivatives trading.

## `KUC-108`
**Source**: `examples/impliedEarningsMove.ipynb`

Calculates the expected stock price movement around earnings announcements using options straddle pricing.

## `KUC-109`
**Source**: `examples/loadHistoricalPriceData.ipynb`

Retrieves and resamples historical OHLCV data for stocks with various intervals and date ranges for further analysis.

## `KUC-110`
**Source**: `examples/mAndAImpact.ipynb`

Analyzes stock performance metrics (returns, volatility, beta) around M&A announcements to assess deal impact.

## `KUC-111`
**Source**: `examples/openbb-apachebeam/tests/test_obb_pipeline.py`

Demonstrates scalable data processing using Apache Beam to fetch financial data from OpenBB for enterprise ETL workflows.

## `KUC-112`
**Source**: `examples/openbbPlatformAsLLMTools.ipynb`

Exposes OpenBB functions as tools for LLM agents (LangChain) to enable natural language financial data queries.

## `KUC-113`
**Source**: `examples/openbb_vs_langchain.ipynb`

Compares native OpenBB capabilities with LangChain tools for financial data retrieval and analysis.

## `KUC-114`
**Source**: `examples/platform_standardization.ipynb`

Tests OpenBB platform standardization by comparing data models and outputs across different providers.

## `KUC-115`
**Source**: `examples/portfolioOptimizationUsingModernPortfolioTheory.ipynb`

Optimizes cryptocurrency portfolio allocation using Modern Portfolio Theory to maximize risk-adjusted returns.

## `KUC-116`
**Source**: `examples/riskReturnAnalysis.ipynb`

Analyzes risk and return characteristics across multiple asset classes (equities, bonds, real estate, commodities) for portfolio construction.

## `KUC-117`
**Source**: `examples/sectorRotationStrategy.ipynb`

Implements a sector rotation strategy using ETF performance to dynamically allocate to top-performing sectors.

## `KUC-118`
**Source**: `examples/streamlit/news.py`

Provides a Streamlit-based dashboard for displaying and monitoring financial news from multiple sources.

## `KUC-119`
**Source**: `examples/usdLiquidityIndex.ipynb`

Constructs a USD Liquidity Index by combining Federal Reserve monetary aggregates from FRED for macroeconomic analysis.