# Known Use Cases (KUC)

Total: **8**

## `KUC-101`
**Source**: `Research/BasicCSharpQuantBookTemplate.ipynb`

Provides a foundational C# research environment template for loading QuantBook and fetching historical data across multiple asset classes for analysis.

## `KUC-102`
**Source**: `Research/BasicQuantBookTemplate.ipynb`

Provides a Python research environment template demonstrating QuantBook setup, historical data fetching, price plotting, and Bollinger Bands indicator calculation.

## `KUC-103`
**Source**: `Research/KitchenSinkCSharpQuantBookTemplate.ipynb`

Comprehensive C# template demonstrating QuantBook API cloud connectivity, project listing, and multiple methods for fetching historical data with different parameters and asset types.

## `KUC-104`
**Source**: `Research/KitchenSinkQuantBookTemplate.ipynb`

Most comprehensive Python template showing QuantBook API connectivity, multi-asset data (including options), option history filtering, multiple data fetching methods, and price plotting.

## `KUC-105`
**Source**: `Tests/Research/RegressionTemplates/BasicTemplateCustomDataTypeHistoryResearchCSharp.ipynb`

Demonstrates how to create and implement a custom data type in C# extending DynamicData, including custom source fetching from remote CSV files for research analysis.

## `KUC-106`
**Source**: `Tests/Research/RegressionTemplates/BasicTemplateCustomDataTypeHistoryResearchPython.ipynb`

Shows how to implement a custom data type in Python using PythonData base class, defining custom GetSource and Reader methods to fetch data from remote CSV for research.

## `KUC-107`
**Source**: `Tests/Research/RegressionTemplates/BasicTemplateResearchCSharp.ipynb`

Minimal C# template demonstrating QuantBook setup with date-range based historical data fetching for research analysis.

## `KUC-108`
**Source**: `Tests/Research/RegressionTemplates/BasicTemplateResearchPython.ipynb`

Python research template showing QuantBook setup, date-range historical data fetching, and Bollinger Bands indicator history retrieval for technical analysis.