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Advanced Quant Advanced Quant ● Live

Reinforcement Learning Execution Algorithmic Agent

3146 views 790 installs

Trains deep Q-networks (DQN) to split large parental block orders into optimal child routes minimizing market footprint.

👤 Head of Algorithmic Execution
📡 Historical trade execution trails
✓ Open source ⚡ MCP 1.x compatible 🔌 Advanced Quant

Connect in 30 seconds

Paste into Claude Desktop or any MCP client config file:

{
  "mcpServers": {
    "quant_advanced": {
      "url": "https://claudefinancelab.com/quantadvanced/sse"
    }
  }
}
SSE Endpoint ↗

Let Claude install it for you

Copy this prompt → paste into a new Claude conversation. Claude will open your config file and add the server.

I want to install the ClaudeFinLab MCP server for "Reinforcement Learning Execution Algorithmic Agent".

Please add the following to my Claude Desktop config file:
- Mac path: ~/Library/Application Support/Claude/claude_desktop_config.json
- Windows path: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "quant_advanced": {
      "url": "https://claudefinancelab.com/quantadvanced/sse"
    }
  }
}

Open the file, merge this into the existing mcpServers block (don't overwrite other servers), save it, and tell me when done. I'll restart Claude Desktop after.

Works with Claude Desktop, Cursor, Windsurf, and any MCP-compatible AI client.

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MCP Server

A

Advanced Quant

7 tools

Tool function

rl_execution_simulator

SSE endpoint

https://claudefinancelab.com/quantadvanced/sse

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