# Home

### 1. Documentation Structure

This FINTER documentation is organized into the following 7 sections.

For first-time users, we **recommend studying each section in order(1\~4)**, and within each section, following the tabs sequentially for the best learning experience.

1. [**Quick Start**](https://quantit.gitbook.io/finter/quick-start)**:**\
   An overview of the FINTER package and a 10-minute tutorial that guides you through setting up your environment and running your first backtest. ***Recommended for beginners and new users.***
2. [**FINTER Library**](https://quantit.gitbook.io/finter/finter-library)**:**\
   Core modules and data interfaces for accessing market data, financial statements, economic data and identifiers. Includes modeling tools for alpha, portfolio, and fund strategies. ***Recommended for both beginners and advanced users.***
3. [**Advanced Exercise**](https://quantit.gitbook.io/finter/advanced-exercise)**:**\
   Hands-on projects for experienced users — explore custom universes, multi-factor modeling, and parameter optimization. ***Recommended for both beginners and advanced users.***
4. [**Model Analyzer**](https://quantit.gitbook.io/finter/model-analyzer)**:**\
   The web-based simulation and analytics platform. Learn how to visualize results, compare strategies, and submit your backtests for evaluation. ***Recommended for all users conducting backtests or performance analysis.***
5. [**Qore**](https://quantit.gitbook.io/finter/qore)**:**\
   The unified research and execution layer that connects your local environment with the cloud. Covers data synchronization, job scheduling, and version management. ***Recommended for Quantit employees.***
6. [**Iceberg**](https://quantit.gitbook.io/finter/iceberg)**:**                                                                                                                                                                         R*ead-only analytical data layer* that mirrors specific service or operational databases. It stores data as Parquet-based tables in AWS and allows users to query large-scale datasets directly through SQL. ***Recommended for data engineers and analysts at Quantit.***
7. [**FAQ**](https://quantit.gitbook.io/finter/faq)**:**\
   Common troubleshooting tips, environment setup guides, and basic questions for using the FINTER ecosystem.

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### 2. How to Use FINTER GitBook

#### Navigation Tips

<figure><img src="https://2422688321-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fn9VmnuGHA8uWtc6N5oYX%2Fuploads%2FVa2elhuhXcGsEW5hmofV%2Fimage.png?alt=media&#x26;token=ed399045-049d-40ce-a819-250ad6b9c198" alt="" width="317"><figcaption></figcaption></figure>

* **Use the left sidebar or the dropdown menu at the top-left to browse different documentation sections.**

<figure><img src="https://2422688321-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fn9VmnuGHA8uWtc6N5oYX%2Fuploads%2F0iICHdFn6bRONtNsndHM%2Fimage.png?alt=media&#x26;token=f728119e-9154-4d5b-970b-36bf22eaeb6e" alt=""><figcaption></figcaption></figure>

* **If you’re looking for a specific dataset, function, or class, use the search bar at the top of the page.**<br>

  > 💡 Tip 1: Press Cmd + K (Mac) or Ctrl + K (Windows) to open the search instantly.

  > 💡 Tip 2: In the search popup, set the Filter option at the top to “All content” (not just “Home”) — this ensures you search across every available variant and all pages in the documentation.<br>

  This helps you find information from multiple sections (e.g., ContentFactory, pit-niq, or rolling) more accurately.

* **If you want to see which datasets are available for Indonesia, Vietnam, Korea, US, click the 'Data Catalog' tab located at the top-right corner of the website.**

<figure><img src="https://2422688321-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fn9VmnuGHA8uWtc6N5oYX%2Fuploads%2F2K7fQcvPVziV1ZLAxuCn%2Fimage.png?alt=media&#x26;token=266175f1-67b6-4ea8-a433-41301659e191" alt="" width="563"><figcaption></figcaption></figure>

* **If you have any questions or suggestions, please reach out to us via Quantit Slack or email.**

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