tradememory-protocol

tradememory-protocol

Provides decision audit trails and persistent memory for AI trading agents.

MCPBusinessOpen source
Type
MCP
Transport
stdio
Open source
Yes
GitHub Stars
★ 1.3k
Source
mcp-github

Overview

TradeMemory-Protocol is a memory layer designed specifically for AI trading agents, capable of recording and recalling detailed information from each trade. It ensures data integrity through SHA-256 tamper-proof audit trails and supports multiple markets (stocks, forex, cryptocurrencies, etc.). With just one pip install command, your AI agent can remember every trade, outcome, and error. Ideal for traders needing pre-trade historical checks and systems requiring extensive decision logging.

Capabilities

  • Record and recall trades
  • SHA-256 tamper-proof audit trail
  • Multi-layer memory updates
  • Confidence tracking and risk alerts
  • Strategy performance analysis

Use cases

Check historical trades before executing new onesAutomatically log thousands of decisions per dayGenerate trading plans and set trigger conditionsExport audit trails for review or regulatory submission

Setup

Requires: API KeyNode 环境
pip install tradememory-protocol

This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.

FAQ

How do I get started with TradeMemory-Protocol?

After installation, configure the MCP server and add it to Claude Desktop.

Which markets are supported?

Supports multiple markets including stocks, forex, and cryptocurrencies.

Is it open source?

Yes, it is licensed under MIT.

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