Horus Flow Intelligence — Institutional Orderflow for AI Agents
🦅 Horus Flow MCP Server
HORUS 👁️ | Sub-Second Institutional Orderflow Intelligence
A True Market Gravity Engine for Autonomous AI Agents and HFT Traders.
[](https://glama.ai/mcp/servers/horustechltd/horus-flow-mcp)
[](https://glama.ai/mcp/servers/horustechltd/horus-flow-mcp)
🧠 Why Horus? The AI Agent's "Nervous System"
In the world of autonomous trading, an AI Agent without real-time orderflow is like a pilot flying blind. Technical indicators (RSI, MACD) are lagging echoes of the past. Horus is the Nervous System that provides:
- Proprioception: Real-time awareness of market "muscle" (Orderbook Depth).
- Reflexes: Sub-second detection of institutional "pain" (Liquidity Collapses).
- Intelligence: A context-aware decision matrix that translates raw physics into actionable signals.
"If you want your AI Agent to trade like a whale, you must give it the whale's eyes. Horus is that vision."
🧪 Manus AI Audit: Live Performance Proof
Horus Flow MCP has been rigorously audited by Manus AI (an autonomous execution agent). The results confirm that Horus isn't just code—it's a high-performance reality.
Audit Highlights (Live Test on BTCUSDT):
- Signal Accuracy: Successfully detected STRONG_SELL_PRESSURE with a 0.85 Confidence Score.
- Physics Engine Validation: Confirmed
bid_ask_ratioof 0.156, proving the engine's ability to read thin limit books and aggressive selling. - Zero-Hallucination Logic: The MCP server correctly identified symbols in "Data Gathering" mode (e.g., SOLUSDT), preventing the AI from making false assumptions.
| Metric | Audit Result | Status |
|---|---|---|
| Response Time | Sub-millisecond (Local) | ✅ Verified |
| Data Integrity | L2 Binance Orderbook Sync | ✅ Verified |
| AI Confidence | 0.85+ on High-Vol Events | ✅ Verified |
💰 The $29 Arbitrage: Institutional Intelligence for the Price of a Lunch
Why pay thousands for institutional terminals when you can get the same Microstructure Intelligence for a fraction of the cost?
| Feature | Horus Flow MCP | Traditional Terminals |
|---|---|---|
| Monthly Cost | $29 (Pro Plan) | $150 - $2,000+ |
| AI Integration | Native MCP (Plug & Play) | Complex API / Manual |
| Data Source | Institutional L2 Feeds | Proprietary / Closed |
| Decision Logic | Physics-Based (Gravity) | Lagging Indicators |
🛑 Stop Predicting Candles. Start Measuring Gravity.
Retail traders use trailing indicators to guess what the market will do based on the past. Horus uses Level 2 Orderbook physics, Tick imbalances, and 5-Second Flow Deltas to measure exactly what institutional whales are doing right now.
Horus doesn't ask "Are we overbought?". It measures gravitational pull and tells you: "Whales are spoofing the bid and aggressive takers are tearing through the ask. Liquidity is collapsing. Bailout now."
⚡ Why AI Agents (Claude, Cursor) Love Horus
If you hook up an AI Agent to a basic technical indicator feed, it gets confused by noise. If you feed an AI Agent Horus, it gets an institutional grade decision matrix.
Look at what Horus catches in real-time during a Liquidity Withdrawal / Flash Crash attempt:
{
"symbol": "BTCUSDT",
"signal": "LIQUIDITY_EVENT",
"confidence": 0.99,
"market_state": "DISTRIBUTION",
"risk": "EXTREME",
"description": "Liquidity withdrawn under price. Aggressive taking.",
"metrics": {
"bid_ask_ratio": 7.934,
"buy_sell_ratio": 0.393,
"delta_5s": -83040.05,
"whale_activity": true,
"large_sell_count": 4,
"delta_accel": 3.8,
"wall_side": "BID",
"wiseman_climate": {
"market_mode": "CHOP",
"health": "FRAGILE",
"confidence": 0.85
},
"flags": [
"GLOBAL_LIQUIDITY_EVENT",
"SPOOFING_DETECTED(wall=BID)"
]
},
"timestamp": 1776107738.975
}
The Institutional Alpha:
bid_ask_ratio: 7.934&wall_side: BID: Massive spoofed bid walls are placed by whales below the market to create fake support.buy_sell_ratio: 0.393: Horus sees through the spoofing (SPOOFING_DETECTEDflag). It measures real taker flow and discovers aggressive selling is devastating the orderbook.delta_accel: 3.8&whale_activity: true: Selling momentum accelerated by 3.8x natively tracking 4 major whale dumps within milliseconds.wiseman_climate: FRAGILE: Integrates perfectly with the overarching Horus SaaS macro brain, verifying that Bitcoin's holistic environment is fragile before attacking.- The Verdict: With a
0.99Confidence factor, the AI engine triggersLIQUIDITY_EVENT. It front-runs the ensuing 1-minute crash. This is Institutional Grade.
🏗️ Architecture
graph TD
%% Styling
classDef crypto_stream fill:#F3BA2F,stroke:#000,color:#000,stroke-width:2px;
classDef equity_stream fill:#000,stroke:#09b533,color:#09b533,stroke-width:2px;
classDef compute fill:#1A1F36,stroke:#00D6FF,color:#fff,stroke-width:2px;
classDef mcp fill:#632CA6,stroke:#fff,color:#fff,stroke-width:2px;
classDef client fill:#FF3366,stroke:#fff,color:#fff,stroke-width:2px;
%% Ingestion
subgraph Data_Pipelines [Sub-Millisecond Websocket Ingestion]
B[Binance WSS <br/> L1/L2 Book]:::crypto_stream
A[Alpaca WSS <br/> SIP Equities]:::equity_stream
end
%% Engine
subgraph Core_Engine [The Physics Engine]
IC[Imbalance Calculator <br/> Bid/Ask Spread]:::compute
FC[Flow Calculator <br/> Tape Deltas]:::compute
Tkr[Prediction Tracker <br/> In-Memory Evaluator]:::compute
BC[Behavioral Court <br/> Spoofing & Liquidity Rules]:::compute
end
%% Output
subgraph Output_Layer [Data Shield & Delivery]
MCP[AI Agent MCP Context <br/> Context-Aware Prompts]:::mcp
API[FastAPI Client <br/> Safe Shielded Outputs]:::client
Dash[Real-time Dashboard <br/> Live Edge Proof]:::client
end
B --> IC
A --> IC
B --> FC
A --> FC
IC --> BC
FC --> BC
BC --> Tkr
Tkr -- "Validates 1M accuracy" --> BC
BC --> MCP
BC --> API
BC --> Dash
🚀 Quickstart for Trading Bots
Getting started with Horus takes less than 60 seconds. ⚡ Test Instantly: Download our Postman Collection to ping the API directly from your browser.
1. Fire up the Core Engine
# Install Dependencies
pip install mcp httpx
# Set your RapidAPI Key (Required for the server to fetch live data)
export RAPIDAPI_KEY="your_actual_rapidapi_key"
# Run the SSE Server
python horus_mcp_public.py --transport sse --port 8011
import requests
# Connecting to your local Horus instance
response = requests.get("[http://127.0.0.1:8011/v1/flow/crypto/BTCUSDT](http://127.0.0.1:8011/v1/flow/crypto/BTCUSDT)")
flow_data = response.json()
# The Zero-Human Decision Loop:
if flow_data.get('signal') in ['EMERGENCY_DUMP', 'BAILOUT', 'LIQUIDITY_EVENT']:
print(f"⚠️ {flow_data['symbol']} Market gravity collapsing. Executing Bailout.")
# execute_market_sell()
🌐 Live Real-Time Dashboard
Horus comes with a stunning glass-morphism WebSocket dashboard out-of-the-box (/dash/).
It features a Local Edge Proof Tracker that strictly measures 1-Minute Candle directional predictions generated by the Physics Engine with an openly transparent win rate.
Built with absolute precision for those who need to see the Matrix.
— HORUS INTELLIGENCE 👁️
mcp-name: io.github.horustechltd/horus-flow-mcp
Server Config
{
"mcpServers": {
"horus-flow": {
"command": "python",
"args": [
"horus_mcp_public.py",
"--transport",
"sse",
"--port",
"8011"
],
"env": {
"RAPIDAPI_KEY": "your_rapidapi_key_here"
}
}
}
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