Closed Beta Release coming soon

Detailed STA Structure

Each Strategy Trading Agent (STA) is designed as an independent, modular digital hedge fund, powered by its own multi-agent engine. This structure allows STAs to function autonomously while integrating seamlessly into the broader Maicrotrader ecosystem.

At the core of each STA is a Master Agent that orchestrates the workflow, verifies actions for consistency and compliance, and ensures optimal performance. The Master Agent coordinates the following specialized sub-agents

  • Quant Agent: Focuses on quantitative analysis, generating trading signals by processing market data, applying proprietary algorithms, and using machine learning toidentify alpha opportunities. It adapts strategies in real-time based on evolving market conditions, such as detecting trends in volatility or funding rates.

  • Portfolio Management Agent: Handles asset selection, diversification, and rebalancing within the STA's scope. It optimizes the portfolio composition (e.g., weighting top-5 coins or memecoins) to align with the STA's strategy, ensuring balanced exposure and maximizing risk-adjusted returns.

  • Risk Management Agent: Monitors and mitigates risks using models like Value at Risk (VaR), stress testing, and drawdown controls. It enforces stop-loss mechanisms, position sizing limits, and hedging tactics to protect against market downturns or black swan events.

  • Execution Agent: Manages the actual trade execution on-chain, optimizing for slippage, gas fees, and timing. It interfaces with DEXs, handles order routing, and ensures trades are completed efficiently and securely.

Multi Agent Engine (MAE) example
Multi Agent Engine (MAE) | Workflow Example

This multi-agent setup within each STA mimics the operations of a traditional hedge fund but in a decentralized, AI-driven format, providing institutional-grade sophistication in a compact, scalable package.

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