Noah Terminal
  • Welcome
    • ⚓Noah Ecosystem
  • Introduction
    • 🍥Background
    • 👾The Genesis of the Noah Ecosystem
  • Noah Quant
    • 🎰System Overview
    • 🔢Data Collection
    • 🟢AI Decision Core Design
    • 🔴Risk Management
    • 👩‍🏫Data Processing
    • ♾️Execution Layer
    • 💸Empirical Results
  • Resources
    • 🔗Official links
    • ℹ️Bibliography
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  • Feature Engineering
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  1. Noah Quant

System Overview

Proprietary information regarding Noah AI core has been redacted.

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Last updated 5 months ago

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.

Data 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.

Feature Engineering

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

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NoahQuant System Design