Skills

The skills marketplace transforms Wildmeta's trading copilot into a comprehensive trading ecosystem through modular capabilities that extend far beyond basic AI assistance. Each skill operates as an independent service while maintaining seamless integration through standardized x402 interfaces.

Market Research and Analysis

Position analysis capabilities provide comprehensive evaluation of existing holdings, market trends, and potential opportunities. Integration with providers like nof1.ai delivers professional-grade analysis typically reserved for institutional traders. These skills examine technical indicators, sentiment data, and on-chain metrics to generate actionable insights.

Trend analysis skills process multiple data streams to identify emerging market movements and potential reversals. Users receive detailed reports covering price action, volume patterns, and correlation analysis across different timeframes and asset classes.

Algorithmic Trading Strategies

Pure market making strategies create continuous buy and sell orders around current market prices, capturing spread profits while providing liquidity to the market. These algorithms automatically adjust pricing based on volatility, inventory levels, and market conditions.

Directional trading strategies capitalize on predicted price movements through sophisticated entry and exit algorithms. These skills analyze multiple timeframes and technical indicators to identify optimal position timing and sizing.

Volume trading strategies focus on participation in large market movements while minimizing price impact. These approaches are particularly valuable for users managing larger positions or seeking to replicate institutional trading patterns.

Quantitative Models

Machine learning models like BTC-baseline-1h-LSTM leverage historical data patterns to generate predictive signals. These quantitative approaches complement traditional technical analysis with statistical modeling and pattern recognition capabilities.

Backtesting services enable comprehensive strategy validation across historical market conditions. Users can test trading approaches across different timeframes and market regimes before committing capital to live trading.

Asset Management Services

Low-risk asset management through HLP (Hyperliquid Liquidity Provider) and LLP (Liquidity Liquidity Provider) tokens provides passive income generation with reduced volatility exposure. These services automatically manage allocations and rebalancing for optimal risk-adjusted returns.

Copy trading represents one of the most sophisticated skill categories, enabling users to replicate successful traders either individually or through curated portfolios. Advanced configuration options include position sizing, maximum drawdown limits, and selective strategy filtering.

Service Skills Architecture

Service skills operate continuously once activated, providing ongoing value through persistent monitoring and execution. Copy trading exemplifies this capability by maintaining real-time surveillance of target traders' positions and automatically executing matching trades when changes occur.

These services implement standardized control interfaces including start, stop, and status functions. The copilot can initiate services based on user commands, monitor operational status, and terminate services when requested or when predefined conditions are met.

Service skills enable sophisticated automation scenarios where single activation commands trigger complex, ongoing operations. This architecture makes the trading copilot significantly more autonomous and intelligent compared to simple request-response interactions.

Data Provider Integration

Skills access diverse data sources to enhance analysis quality and reduce single-point-of-failure risks. Market data providers include HyperRPC for real-time Hyperliquid information and CoinGlass for liquidation analytics. Post-processed data encompasses Wildmeta's proprietary trader profile data and narrative analysis.

Private data sources provide exclusive access to information like 24-hour position records on Hyperliquid, creating competitive advantages for premium users. Skills can adjust pricing based on selected data providers, enabling cost optimization for different use cases.

Economic Model

The x402 protocol enables precise skill monetization through usage-based payments. Skills charge based on actual value delivery rather than subscription models, aligning economic incentives with user satisfaction. Execution-based pricing for trading skills ensures costs correlate directly with portfolio impact.

Users maintain complete transparency over skill expenditures through detailed payment logs and cost projections. The autonomous payment system eliminates friction while preserving user control through configurable spending limits and approval thresholds.