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 settingsbrain_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.
1 maintainer
Metadata
1 maintainer
Release files for cnhkmcp 4.3.13
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| cnhkmcp-4.3.13.tar.gz | 78.0 MB | Without provenance | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cnhkmcp-4.3.13-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 157.4 MB
Release files / cnhkmcp-4.3.13.tar.gz
| Download URL | cnhkmcp-4.3.13.tar.gz |
|---|---|
| Size | 78.0 MB |
| Tags | Source |
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| Download URL | cnhkmcp-4.3.13-py3-none-any.whl |
|---|---|
| Size | 79.4 MB |
| Tags | Python 3 |
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