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Gainium MCP Server

@Ares Sanchez

基本信息

分类

金融与商务

许可证

MIT

作者

Ares Sanchez

提交者

Ares Sanchez

关于 Gainium MCP Server

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

Gainium MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Gainium MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

Gainium is an AI-powered, open-source crypto trading automation platform that enables traders to build, test, and automate trading strategies without coding. It supports multiple cryptocurrency exchanges and provides powerful tools for developing, validating, and deploying automated trading strategies.

Key Features

  • 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

Why Choose Gainium?

Gainium combines AI, automation, and transparency in a single platform. Unlike many proprietary trading solutions, it is open source, community-driven, and allows users to validate strategies through backtesting and paper trading before trading with real funds.

Use Cases

  • Automate crypto trading strategies
  • Backtest and optimize trading bots
  • Manage portfolios across multiple exchanges
  • Reduce manual trading with AI-powered automation
  • Experiment with new strategies in a risk-free environment

Whether you're a beginner exploring automated trading or an experienced trader looking to scale your strategies, Gainium provides the tools needed to trade more efficiently and confidently.

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