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Montewalk
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Montewalk

MonteWalk is an institutional - level quantitative trading tool server based on the MCP protocol, providing real - time market data, portfolio management, risk analysis, and backtesting functions for AI assistants. It includes more than 25 tools and 6 intelligent workflows, offering a professional trading terminal experience through the Gradio 6 interface.
FinanceEducation and learning tools#Quantitative Trading#Risk Analysis#AI Assistant#Portfolio.Python
2 points
3.3K
Open Site

Overview

Installation

Tools List

Content Details

Alternatives

What is MonteWalk?

MonteWalk is a quantitative trading server based on the Model Context Protocol (MCP), specifically designed to provide professional financial trading tools for AI assistants (such as Claude, GPT, etc.). It's like equipping your AI assistant with a complete trading terminal, enabling the AI to access real-time market data, analyze portfolio risks, execute simulated trades, and provide professional quantitative analysis tools.

How to use MonteWalk?

MonteWalk can be used in two ways: 1) Directly test all tools through the Gradio web interface; 2) Connect to MCP clients such as Claude Desktop to allow AI assistants to directly use trading functions. You only need to configure the API key to start practicing risk trading with $100,000 in simulated funds.

Applicable Scenarios

MonteWalk is suitable for individual investors, trading enthusiasts, financial learners, and developers. Whether you want to learn quantitative trading, test trading strategies, or have an AI assistant analyze the market for you, MonteWalk can provide professional tools and a secure simulated environment.

Main Features

Real-time Market Data
Get real-time prices and historical data of stocks and cryptocurrencies, supporting multiple data sources (Yahoo Finance, Alpaca, CoinGecko)
Portfolio Management
Manage a portfolio of $100,000 in simulated funds, supporting buy and sell operations, position viewing, and automatic risk checks
Professional Risk Analysis
Provide institutional-level risk indicators: Value at Risk (VaR), Monte Carlo simulation, volatility analysis, and maximum drawdown calculation
Technical Analysis Tools
More than 20 technical indicators (RSI, MACD, Bollinger Bands, etc.) and intelligent trading signal generation
Strategy Backtesting Engine
Test the historical performance of trading strategies, supporting common strategies such as moving average crossovers, including simulated trading costs
News and Sentiment Analysis
Aggregate financial news and use AI to analyze market sentiment to help understand market trends
Cryptocurrency Support
Real-time cryptocurrency prices, trend analysis, and comprehensive market data
Professional Visualization
Multiple professional charts such as candlestick charts, price trend charts, and risk distribution charts, supporting a dark theme
Intelligent Watchlist
Automatically synchronize held stocks, with real-time price updates and news aggregation
Advantages
Zero-risk learning: Use $100,000 in simulated funds without real capital risk
Professional tools: Provide institutional-level quantitative analysis tools typically only available to professional traders
AI integration: Seamlessly integrate with AI assistants such as Claude, making the AI your trading analyst
Multiple data sources: Aggregate multiple market data sources to ensure data accuracy and reliability
User-friendly: Provide an aesthetically pleasing web interface and a simple configuration process
Educational value: Help understand complex financial concepts and risk management
Limitations
Simulated trading only: Currently does not support real capital trading (for security reasons)
Requires API keys: Some functions require registering for free services such as Alpaca and NewsAPI
Data delay: Free data sources may have a 15-minute delay (consistent with the real market)
Learning curve: Quantitative trading concepts require a certain amount of learning time
Network dependency: All functions require a stable network connection

How to Use

Get API Keys
Register for a free Alpaca Paper Trading account to get API keys. Optionally, register for NewsAPI to access news features.
Configure the Environment
Copy the .env.example file to .env and fill in your API keys.
Run the Server
Start the Gradio web interface or the pure MCP server.
Connect the AI Assistant
Configure the MCP settings in Claude Desktop and add the MonteWalk server.

Usage Examples

Morning Market Briefing
Every morning, have the AI assistant analyze the performance of your portfolio, scan market news, check risk indicators, and provide trading suggestions for the day.
In - depth Stock Analysis
Before considering an investment, conduct a comprehensive analysis of a specific stock, including fundamentals, technical aspects, market sentiment, and risk factors.
Trading Strategy Testing
Test the performance of a simple moving average crossover strategy over the past year and evaluate its profitability and risk.
Risk Monitoring
Regularly monitor the risk exposure of your portfolio to ensure that it is not over - concentrated or taking on excessive risk.

Frequently Asked Questions

Is MonteWalk free?
Can I trade with real money?
Do I need programming knowledge?
Is the data real - time?
Which AI assistants are supported?
How to ensure trading security?

Related Resources

GitHub Repository
Complete source code, issue feedback, and contribution guidelines
Hugging Face Space
Online demo version that can be experienced without installation
MCP Official Documentation
Official documentation and specifications of the Model Context Protocol
Alpaca Paper Trading
Free simulated trading platform that provides API keys
MCP 1st Birthday Hackathon
The MCP hackathon event that this project participated in

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "montewalk": {
      "command": "/absolute/path/to/MonteWalk/.venv/bin/python",
      "args": ["/absolute/path/to/MonteWalk/server.py"]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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