Tradingale
Martingale Intelligence for AI trading agents. Provides proprietary scores and sequence parameters for 250+ crypto and stock instruments to evaluate martingale strategy suitability.
What is Tradingale?
Tradingale is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to martingale intelligence for ai trading agents. provides proprietary scores and sequence parameters for 250+ crypto and stock instruments to evaluate martingale strategy suitability.
Martingale Intelligence for AI trading agents. Provides proprietary scores and sequence parameters for 250+ crypto and stock instruments to evaluate martingale strategy suitability.
This server falls under the Finance & Fintech category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Martingale Intelligence for AI trading agents. Provides prop
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx tradingaleConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Tradingale
What is Tradingale?
Tradingale is a Model Context Protocol (MCP) server that martingale intelligence for ai trading agents. provides proprietary scores and sequence parameters for 250+ crypto and stock instruments to evaluate martingale strategy suitability. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Tradingale?
Follow the installation instructions on the Tradingale GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Tradingale?
Tradingale works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Tradingale free to use?
Yes, Tradingale is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up Tradingale in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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