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Documentation Index

Fetch the complete documentation index at: https://mintlify.com/deskiziarecords/QUIMERIA-HYPERION/llms.txt

Use this file to discover all available pages before exploring further.

QUIMERIA-HYPERION is the Sovereign Market Kernel (SMK) — a production-ready algorithmic trading system that decodes market structure in real time. It treats price action as a deterministic Interbank Price Delivery Algorithm (IPDA) cycle and applies a multi-layered intelligence stack — from Bayesian HMM orchestration to Ring 0 veto authority — to generate high-conviction trade signals with built-in safeguards.

Quick Start

Run the SMK backend and open the live trading dashboard in under 5 minutes.

Installation

Install Python dependencies, optional GPU acceleration, and configure environment variables.

Architecture Overview

Understand the multi-layer kernel structure: Ring -1, Layers 1–4, and Ring 0 veto.

API Reference

Explore all REST endpoints, WebSocket feeds, and the plugin development contract.

How the SMK works

The kernel processes market data bar-by-bar through a layered pipeline. Each layer adds context until Ring 0 either clears or vetoes trade execution.

IPDA Structural Compiler

Identifies dealing ranges, premium/discount zones, and the AMD state machine.

Lambda Sensors (λ₁–λ₈)

Eight real-time sensors detecting volatility, timing, harmonics, manipulation, and macro bias.

Ring 0 Veto System

Six hard-stop conditions including topological fracture, KL divergence, and Mandra energy gate.

Smart Intelligence

FAISS-powered pattern memory and GRU predictor for historical similarity matching.

Connect your data

Data Sources

Load OHLCV data from CSV, Bitget, OANDA, MT4/MT5, TradingView, and Dukascopy.

Exchange Connections

Live feed integrations for Bitget, Fyers, Coinbase Advanced Trade, and generic markets.

MetaTrader 5

Connect MT5 via the ZeroMQ bridge for tick-level data and order execution.

Plugin System

Extend the kernel with custom forensic detectors using the SMKPlugin base class.

Deploy and operate

Deployment

Run as a systemd service on Linux, a Windows service via NSSM, or in development mode.

Monitoring & Logging

Five rotating log streams — events, veto decisions, trades, session, and raw bars.
This software is for educational and research purposes only. Algorithmic trading involves substantial risk of financial loss. Always paper trade before going live. Never commit API keys to source control.

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