> For the complete documentation index, see [llms.txt](https://docs.fiinquant.vn/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.fiinquant.vn/fiinquant-en/introduction/overview.md).

# Overview

**FiinQuant – A data library and analytic tool for Python**

### <mark style="color:purple;">What is FiinQuant?</mark>

FiinQuant is a data library and analytic tool for **Python**, enabling investors, analysts, and developers to easily access, process, and accurately analyze financial data quickly and precisely.

<figure><img src="/files/REVsoWmhpX7Yfqv2Gp7U" alt=""><figcaption></figcaption></figure>

Key features of FiinQuant include:

* **Historical data retrieval:** Allows access to and retrieval of data from financial data providers.
* **Real-time order matching data retrieval:** Provides the ability to receive real-time data, helping to monitor the market and continuously update information.
* **Historical data and real-time data connection:** The library allows calling methods to connect historical data from a specific time with real-time data across various timeframes.
* **Technical indicator creation:** Offers tools to build and calculate technical indicators ranging from simple ones like moving averages (SMA, EMA, etc.) to more complex ones such as RSI (Relative Strength Index), MACD (Moving Average Convergence Divergence), Ichimoku, and many other indicators.

With its ability to combine data collection, real-time processing, and indicator analysis, **FiinQuant** is a comprehensive solution for financial professionals and investors to conduct market research, thereby supporting effective investment decisions.