CNHK MCP Server

A comprehensive Model Context Protocol (MCP) server for quantitative trading platform integration. This package provides a complete set of tools for interacting with quantitative trading APIs, managing simulations, and accessing financial data.

Features

  • API Integration: Complete API client for quantitative trading platforms
  • Simulation Management: Create, monitor, and manage trading simulations
  • Data Access: Retrieve datasets, data fields, and financial information
  • Alpha Management: Comprehensive alpha factor management and analysis
  • Forum Integration: Access to support forums and documentation
  • Performance Analysis: Advanced performance metrics and correlation analysis
  • Competition Support: Tools for trading competitions and leaderboards

Installation

pip install cnhkmcp

Quick Start

from cnhkmcp import BrainApiClient

# Initialize client
client = BrainApiClient()

# Authenticate
await client.authenticate("your_email@example.com", "your_password")

# Create a simulation
simulation_data = {
    "type": "REGULAR",
    "settings": {
        "instrumentType": "EQUITY",
        "region": "USA",
        "universe": "TOP3000"
    },
    "regular": "your_alpha_formula"
}

result = await client.create_simulation(simulation_data)
print(f"Simulation created: {result}")

Main Components

API Client (pythonmcp.py)

  • Authentication and session management
  • Simulation creation and monitoring
  • Alpha factor management
  • Data retrieval and analysis
  • Performance metrics

Forum Client (forum_functions.py)

  • Glossary term extraction
  • Forum post search and reading
  • Support documentation access

Usage Examples

Authentication

from cnhkmcp import authenticate

result = await authenticate("email@example.com", "password")
print(f"Authentication status: {result}")

Create Simulation

from cnhkmcp import create_simulation

result = await create_simulation(
    type="REGULAR",
    instrument_type="EQUITY",
    region="USA",
    universe="TOP3000",
    regular="your_alpha_formula_here"
)

Get Alpha Details

from cnhkmcp import get_alpha_details

alpha_info = await get_alpha_details("alpha_id_here")
print(f"Alpha details: {alpha_info}")

Search Forum Posts

from cnhkmcp import search_forum_posts

results = await search_forum_posts(
    email="email@example.com",
    password="password",
    search_query="alpha formula"
)

Configuration

The package supports configuration through JSON files:

  • user_config.json: User-specific settings
  • brain_config.json: Platform configuration

Requirements

  • Python 3.8+
  • Chrome browser (for forum functionality)
  • Valid platform credentials

Dependencies

  • requests
  • pandas
  • selenium
  • beautifulsoup4
  • mcp
  • pydantic

License

MIT License

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Support

For support and questions, please refer to the documentation or create an issue in the repository.

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for tangjikede from gravatar.com tangjikede

Credits

Author: cnhkmcp

License

MIT License

Requires

Python >=3.8

Provides Extra

dev

Tags

mcp quantitative trading api client

Classifiers

Report project as malware

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