feat: implement trading agent with decision tracking #10
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Add pydantic-ai to project dependencies Update pyproject.toml and uv.lock
Setup pydantic-ai agent with Claude-3 Add system prompt for price monitoring Integrate with block execution handler
Add TradeMetrics model to track price and volume metrics for token pairs Add TradeContext to provide agent with market data and token balances Add AgentDecision model to structure agent's trading decisions Implement multicall token balance fetching for monitored tokens Add helper to create populated TradeContext with current market state
Add load/save functions for decisions database Add helper to save new agent decisions with metrics Store decisions in CSV
Add error handling for Anthropic API calls Add _build_decision helper for structured AgentDecision creation Add valid bool to AgentDecision model Add MINIMUM_TOKEN_BALANCES for balance validation Add _validate_decision for token pair and balance checks Refactor _save_decision to use AgentDecision objects Add order submission flow with error handling
Change profitable to int (0=false, 1=true, 2=not set) Fix None value handling in decision builder
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Adds a complete trading agent system.
Features