Horus FAQs

Question 1

How does Horus differ from traditional trading indicators?

Accepted Answer

Unlike traditional indicators (RSI/MACD) that rely on past data to predict, Horus measures real-time institutional activity using physics-based analysis of the live orderbook and tick data. It identifies what institutional whales are doing 'right now,' enabling front-running critical market shifts.

Question 2

Can AI agents and trading bots easily integrate with Horus?

Accepted Answer

Yes, Horus is designed for seamless integration. It provides a FastAPI client for trading bots and supports the Model Context Protocol (MCP) for AI agents (like Claude, Cursor), delivering institutional-grade decision matrices and real-time signals for automated trading.

Question 3

What data sources does Horus integrate with?

Accepted Answer

Horus seamlessly integrates with major real-time data providers. It connects to Binance for crypto data and Alpaca for US equities data, ingesting sub-millisecond Level 1/L2 orderbook and SIP equities streams.

Question 4

Does Horus offer a way to visualize its performance?

Accepted Answer

Absolutely. Horus includes a real-time WebSocket dashboard with an 'Edge Proof Tracker.' This transparently measures and displays the 1-minute candle directional prediction accuracy generated by its core physics engine, validating performance openly.

Question 5

What is Horus and how does it provide market intelligence?

Accepted Answer

Horus is an institutional-grade tool that delivers sub-second orderflow intelligence by analyzing real-time market microstructure. It uses Level 2 Orderbook physics and Tick imbalances to detect institutional behaviors like spoofing, liquidity events, and aggressive order flow, providing 'market gravity' for AI agents and HFT.

Horus

Horus

Key Features

Use Cases

Key Features

Use Cases