Gainium

by Ares Sanchez

36 stars
292 downloads
Not rated
GitHub Website

About

Docker Compose stack for deploying the Gainium trading platform, including microservices, databases, and frontend applications for local development and self-hosting.

Details

Author
Ares Sanchez
GitHub stars
36
Downloads
292
Categories
Finance, Infrastructure, Other

- AI-powered trading automation
- No-code strategy builder
- DCA, Grid, and Indicator-based trading bots
- Historical backtesting
- Paper trading for risk-free testing
- Portfolio management and performance tracking
- Multi-exchange integration
- Open-source and self-hosting support
- Real-time analytics and strategy optimization

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Gainium
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "gainium": {
            "gainium": {
                "command": "npx",
                "args": [
                    "-y",
                    "@gainium/mcp-server"
                ],
                "env": {
                    "GAINIUM_API_KEY": "YOUR_API_KEY"
                }
            }
        }
    }
}

McpServers

{
    "gainium": {
        "command": "npx",
        "args": [
            "-y",
            "@gainium/mcp-server"
        ],
        "env": {
            "GAINIUM_API_KEY": "YOUR_API_KEY"
        }
    }
}

Docker Compose stack for deploying the Gainium trading platform, including microservices, databases, and frontend applications for local development and self-hosting.

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