TradeMemory Protocol is a memory management system designed for AI trading agents that need persistent context across sessions and regulatory-grade decision documentation. It provides 20 MCP tools enabling agents to recall past trading decisions, verify their history through tamper-evident hashing, and maintain audit trails compliant with financial regulations like MiFID II and the EU AI Act. The system uses an outcome-weighted memory framework to help agents learn from successful decisions over time.