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OMNEX
Autonomous AI trading intelligence system. Combines a multi-factor market signal engine with an AI reasoning layer for fully automated, continuously operating trade decision-making.
Active
Python
AI + TA Hybrid
Autonomous
Overview
OMNEX is a fully autonomous trading system built around two complementary intelligence layers: a deterministic market signal engine and an AI reasoning layer. Trade execution requires agreement from both layers — neither is sufficient alone.
The system operates continuously without manual intervention. Every decision is traced end-to-end: signal state, AI rationale, and outcome are all persisted for retrospective analysis and iterative improvement.
Intelligence Layers
Signal Engine
Multi-factor technical analysis layer processing real-time market data. Multiple independent indicators must align before a signal is emitted.
Context Layer
Retrieval layer ingesting financial news and market commentary, supplying the AI with real-world context alongside the quantitative signal data.
AI Layer
LLM reasoning layer that evaluates the combined signals and retrieved context, producing a confidence-weighted recommendation with explicit chain-of-thought justification.
Risk Engine
Dynamic position sizing and risk-to-reward enforcement. Every trade is sized proportional to signal confidence before any order is placed.
Key Features
- Fully autonomous operation — zero manual intervention required once running
- Dual-layer validation: signal engine and AI reasoning must both confirm before execution
- AI arbitrates ambiguous signal states using broader market context
- Full decision audit trail per trade — signal state, AI rationale, outcome
- Async I/O throughout — market data, AI inference, and order management run concurrently
- Live monitoring dashboard with performance tracking and system health indicators
Tech Stack
Python
asyncio
LLM API
Vector Store
pandas / numpy
SQLite
aiohttp