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Aurion Capital Group

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LATEST PROJECTS

LIVE SP&500 HeatMap By Sector

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Quantitative Strategy: BNB/USDT

Historical Excess Return Relative to Benchmark

Live Alpha Since 1 January 2026

+15.64%

Structure of process from trading agent

'ACG' In house Trading Agent


How It Works
Our multi-agent trading framework is designed to mirror the internal workflow of a professional trading desk. Instead of relying on a single model or signal, the system distributes analysis across specialized AI agents with distinct roles in market research, debate, trade formation, and risk review.
Analyst Team
The analyst layer breaks the market into core research domains.

  • Fundamental Analyst evaluates company performance, financial health, and valuation

  • Sentiment Analyst measures market mood across public channels and social discussion

  • News Analyst interprets macro events, headlines, and catalysts

  • Technical Analyst studies momentum, price structure, and trading signals

Research Team
Bullish and bearish research agents review the analyst outputs and debate the trade from opposing viewpoints. This adversarial process helps surface both opportunity and risk before capital is deployed.
Trader Agent
The trader agent combines the research into a structured transaction proposal, including direction, rationale, and trade setup.
Risk Management
The risk layer evaluates exposure, market conditions, and portfolio constraints. The portfolio manager then decides whether the trade should be approved, revised, or rejected.
Execution
Only after passing research and risk review does the system proceed to execution.

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