Hybrid Forecasting

v1.0.0Data Science & MLstable

Enables algorithmic stock trading analysis by combining ARIMA, ARIMA-GARCH, and XGBoost models to generate buy/sell/hold signals with risk management, portfolio comparison, and volatility analysis for various market sectors.

mcp-hybrid-forecastingmcpai-integration
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What is Hybrid Forecasting?

Hybrid Forecasting is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables algorithmic stock trading analysis by combining arima, arima-garch, and xgboost models to generate buy/sell/hold signals with risk management, portfolio comparison, and volatility analysis for...

Enables algorithmic stock trading analysis by combining ARIMA, ARIMA-GARCH, and XGBoost models to generate buy/sell/hold signals with risk management, portfolio comparison, and volatility analysis for various market sectors.

This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Enables algorithmic stock trading analysis by combining ARIM

Use Cases

Stock trading analysis with ARIMA
Generate buy/sell signals with risk management
j1c4b

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx mcp-hybrid-forecasting

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about Hybrid Forecasting

What is Hybrid Forecasting?

Hybrid Forecasting is a Model Context Protocol (MCP) server that enables algorithmic stock trading analysis by combining arima, arima-garch, and xgboost models to generate buy/sell/hold signals with risk management, portfolio comparison, and volatility analysis for various market sectors. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Hybrid Forecasting?

Follow the installation instructions on the Hybrid Forecasting GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Hybrid Forecasting?

Hybrid Forecasting works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Hybrid Forecasting free to use?

Yes, Hybrid Forecasting is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Data Science & ML MCP Servers

Explore all data science & ml servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "mcp-hybrid-forecasting": { "command": "npx", "args": ["-y", "mcp-hybrid-forecasting"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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