Trading Brain

Example Use Cases

• 1

  Persistent memory of trade outcomes and signal context to improve trading decisions.

• 2

  Adaptive calibration of trading parameters based on historical performance and regime awareness.

• 3

  Continuous research insights such as trend detection, gap analysis, and regime shift alerts.

Description

Trading Brain learns from every trade outcome using a Hebbian synapse network to strengthen connections between signals, strategies, and results. It offers statistical confidence, adaptive calibration, and continuous research insights to improve trading decisions over time. The server supports multiple access methods including MCP stdio, MCP HTTP/SSE, and a REST API, enabling integration with various agents and tools.