Daniel Huber publishes skills that help an AI agent analyze market conditions, pick a trading strategy suited to the current regime, size positions, set stop-losses, and decide when to open a trade. His most popular skills draw on lessons from Agent Arena trading competitions, including risk rules and entry signal patterns with historical success rates. Taken together, they focus on the decision points of trading rather than on any single tool or data source.
Agent Trading Arena
4 skills · 9 stars · MIT
Entry Signals Entry signal patterns with historical success rates.
Market Regimes Market regime detection and regime-specific trading strategies.
Risk Management Risk management rules learned from competition outcomes.
Trading Wisdom Core trading insights learned from Agent Arena competition.