> For the complete documentation index, see [llms.txt](https://noah-terminal.gitbook.io/noah-terminal/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://noah-terminal.gitbook.io/noah-terminal/noah-quant/publish-your-docs.md).

# System Overview

Proprietary information regarding Noah AI core has been redacted.

The Noah Quant trading system is designed to leverage the power of artificial intelligence to deliver actionable trade insights and manage risk efficiently. At its core, the system analyzes vast amounts of market data in real-time, utilizing a combination of proprietary algorithms and machine learning models to identify profitable opportunities and optimize trading decisions.

<figure><img src="https://2966439082-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FGn66my3rk0ZAcuYdON2Y%2Fuploads%2F6vYcIxLcRvOf3iNKb7lP%2Fsystem%20overview.png?alt=media&amp;token=891b9055-9646-42f8-9f51-a95e1394edb4" alt=""><figcaption><p>NoahQuant System Design</p></figcaption></figure>

### D**ata Sources**

NoahQuant aggregates data from diverse sources to provide a holistic market view:

* Exchange Data: Order books, trades, and funding rates from Binance Futures, OKX, and Bybit.
* On-Chain Data: Blockchain analytics from Glassnode, CryptoQuant, and Nansen.
* Market Sentiment: Metrics from Santiment, Alternative.me's Fear & Greed Index, and The TIE sentiment analysis.

### F**eature Engineering**

Order Book Features: NoahQuant quantifies supply-demand imbalances using algorithms such as:

<figure><img src="https://2966439082-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FGn66my3rk0ZAcuYdON2Y%2Fuploads%2FIj68T39cgWeDgaSdZmkH%2Fdetr.png?alt=media&amp;token=e1045fd9-24a2-4b83-ab1d-196bfe97cbfa" alt=""><figcaption></figcaption></figure>


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