An MCP server that provides AI trading agents with persistent, outcome-weighted memory to learn from historical performance and detect behavioral biases. It enables agents to automatically adjust strategies and optimize position sizing based on context-aware recall of past trade outcomes.
Enables AI-driven quant research by exposing backtesting, portfolio optimization, and performance analytics tools through MCP, allowing iterative strategy refinement with built-in overfitting guardrails.