Autonomous Hyperliquid trading agent powered by smart money signals. Create, backtest, and deploy AI trading agents that track 500+ whale wallets on Hyperliq...
Update skill docs for backtest fixes - DATA_SOURCES.md: Fix SM thresholds 60→50/55 based on real market data - SKILL.md: Add leverage warning and minimum hold time guidance - AGENT_CONFIG.md: Add leverage×SL caps table and precision_master SL fix Real market data shows SM long_ratio averages 44-46% and rarely exceeds 55%. Lower thresholds prevent false negatives while maintaining signal quality.