#41 · Primary category: Financial Data & Analytics Platforms

tradememory-protocol

agentic-trading ai-agents audit-trail claude compliance crypto evolution-engine forex mcp mcp-server memory mt5 outcome-weighted-memory trading

Decision audit trail + persistent memory for AI trading agents. Outcome-weighted recall, tamper-evident SHA-256 chain with RFC 3161 anchoring, 20 MCP tools.

Project last updated:08/11/26

GitHub Stars

1.4K

Forks

166

Contributors

2

License

MIT

Why we included this project

Your trading agent can place orders all day but still can't tell you why it just bought AAPL when it lost money on the same setup last month. This project gives that agent a memory: before entering a position it can query past trades weighted by outcome, market context, and how recent they were, and after the trade it records the result across several layered stores. Every write feeds a SHA-256 chain with timestamp anchoring, so you get an audit trail that holds up if a regulator asks how a decision was made. It covers equities, forex, crypto, and futures, and it stays out of execution and fund handling entirely, so it sits beside your existing MCP trading tools rather than replacing them. If you run autonomous strategies and want them to stop repeating mistakes and start leaving a defensible record, this is the layer that was missing.

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