Embedded LLM

Wildmeta's trading copilot leverages a sophisticated LLM-based orchestration engine that serves as your personal trading assistant, capable of interpreting complex natural language instructions and coordinating multiple market operations seamlessly.

Core Capabilities

The copilot interprets diverse trading intentions through natural language processing. Commands like "Create a market-making strategy on ETH-USDT," "Follow this trader's positions," or "Rebalance portfolio and put 50% of profit into HLP weekly" are automatically parsed, analyzed, and executed through appropriate skill combinations.

The system functions as a comprehensive trading companion, answering questions related to market analysis, position management, strategic planning, and autonomous trading operations. Unlike simple chatbots, the copilot maintains context across conversations, enabling sophisticated strategy refinement through iterative dialogue.

Technical Infrastructure

Wildmeta deploys chatgpt-oss models on dedicated H100 GPU clusters, ensuring reliable performance and complete data privacy. This self-hosted approach eliminates dependencies on external API services while providing enterprise-grade computational resources for complex analysis tasks.

The infrastructure supports integration with alternative open-source foundational models including DeepSeek and Qwen, providing flexibility for specialized use cases or performance optimization. This modular approach enables rapid adoption of emerging LLM technologies without disrupting existing workflows.

Integration with Skills Marketplace

The orchestration engine automatically connects with Model Control Protocol (MCP) providers to populate the agent with diverse capabilities. These skills transform the basic LLM into a powerful trading brain capable of market research, position analysis, strategic trading, and autonomous operations like copy trading.

Users maintain granular control over skill activation and blocking through preference settings. The copilot automatically manages skill payments through the x402 protocol, enabling seamless access to premium capabilities without manual transaction management.

Autonomous Operation Framework

The copilot operates through a sophisticated autonomous payment system using dedicated x402 payment wallets. Users fund these wallets with USDC, enabling the AI to purchase skills and data services independently based on user requirements and budget constraints.

Service skills represent a particularly powerful category of autonomous capabilities. Once authorized by users, these skills can initiate and manage ongoing operations through the execution gateway. For example, activating copy trading service skills enables continuous monitoring of target traders' positions with automatic execution when changes occur.

Service skills implement standardized interfaces including start, stop, and status functions, enabling the copilot to manage complex operations autonomously while providing users with real-time visibility and control.

User Experience Design

The copilot interface prioritizes intuitive interaction patterns that abstract technical complexity. Users communicate trading intentions in natural language without requiring knowledge of underlying protocols, skill marketplaces, or blockchain operations.

The system provides transparent cost estimates before executing paid operations, ensuring users maintain budget awareness and control. Historical logs track all autonomous payments and skill utilizations, enabling detailed analysis of strategy costs and effectiveness.

Advanced users can configure data provider preferences and skill cost thresholds through comprehensive settings interfaces. These configurations enable fine-tuned control over the copilot's behavior while maintaining the simplicity of natural language interaction for day-to-day operations.