echolon

DolphinQuant/echolon

★ 2 stars Python AI/LLM Updated today

LLM-agent-native backtest framework for futures research — MCP server, in-package skills, catalogued error codes, typed Pydantic configs. Production engine inside Qorka @ DolphinQuant.

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Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "echolon": {
      "command": "uvx",
      "args": [
        "echolon"
      ]
    }
  }
}

Or install with pip: pip install echolon

README Excerpt

> 📖 [English](README.md) · [简体中文](README.zh-CN.md) > **An LLM-agent-native backtest framework for futures research.** LLM agents driving quantitative research is becoming routine, and the trajectory looks inevitable. For agents to drive strategy creation reliably, they need backtest tooling designed for them — typed tools they call directly, structured error codes they can resolve, an indicator catalog they can query. Without that, agents writing trading code from prose documentation hallucinate

Tools (2)

echolonmcpServers

Topics

agent-toolsalgorithmic-tradingbacktestingclaudefuturesllm-agentsmcpmcp-servermodel-context-protocoloptunapythonquantitative-trading

echolon

Quick Install

README Excerpt

Tools (2)

Topics

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