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Overview

Auto-Trade is a fully integrated, rules-based trading infrastructure designed to mirror curated strategies in real time. It supports both human-validated and agentic (AI-led) strategies and operates natively on Hyperliquid via proprietary Gigabrain infrastructure. The system ensures low-latency execution, proportional risk exposure, and zero manual intervention post-subscription.

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1. System Architecture

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Strategy Categories

1. Hybrid (Human + AI) Strategies
Trades are initiated by experienced strategists and passed through multiple layers of Gigabrain agentic validation before execution. These strategies benefit from human discretion reinforced by systematized signal intelligence.

2. Fully Agentic Strategies
Completely autonomous execution. Trades are identified, validated, and executed by Gigabrain agents operating within predefined market logic, without human involvement.

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Copy Trading Engine

  • Real-time replication of trades from strategy master accounts to user accounts
  • Enforces strict execution timing and position parity
  • Built for high-availability, concurrent load, and deterministic behavior

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Hyperliquid MCP Integration

  • Direct native execution on Hyperliquid
  • Ultra-low latency synchronization across user accounts
  • MCP (Multi-Counterparty Protocol) compliance for institutional-grade throughput

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2. Trade Execution Flow

  1. Signal Triggered: A trading opportunity is identified by the strategy (either human-initiated or agentic).
  2. Master Account Execution: Trade is executed on the strategy account.
  3. Trade Replication: The Copy Engine mirrors this trade across all subscribed user accounts in real-time.
  4. State Sync: Risk parameters (position size, TP/SL levels) are applied uniformly across all instances.

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3. Capital Allocation & Risk Management

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Proportional Sizing

Each user’s trade size is a direct function of their allocated strategy capital. For instance, a $1,000 subscription with a 10% per-trade allocation results in a ~$100 notional per trade, regardless of their broader account balance on Hyperliquid.

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Risk Parameter Enforcement

  • Dynamic Stop Losses (SL) and Take Profits (TP) are synchronized live from strategy parameters
  • System supports mid-trade updates to risk profiles across all accounts
  • All adjustments are atomic and timestamp-aligned

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Future: Risk Profile Customization

Upcoming functionality will allow users to select from risk modes per strategy:

  • Conservative – Lower exposure and tighter risk limits
  • Balanced – Default system parameters
  • Aggressive – Expanded position sizing with higher risk tolerance

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4. User Experience & Controls

  • Zero manual intervention post-subscription
  • Full visibility into live and historical trade activity via Hyperliquid
  • Native support for unsubscription and capital reallocation

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5. Glossary

Copy Trading Engine: Infrastructure layer that mirrors strategy trades to user accounts
Agentic Strategy: Fully automated AI strategy executing without human involvement
TP / SL: Take Profit / Stop Loss thresholds
MCP: Hyperliquid’s execution protocol for multi-party trade synchronization
Position Netting: Real-time adjustment of opposing positions to reflect net exposure

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6. Versioning & Forward Guidance

This documentation is updated on a rolling basis as Auto-Trade functionality evolves. For questions, institutional inquiries, or to request custom strategy access, reach out to: [support@gigabrain.gg]

This documentation is subject to updates as new features are implemented and system capabilities are expanded.