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MonteWalk

modelscope·@N-lia/MonteWalk

rag-systems0下载LocalModelScope

简介

暂无描述。

MCP Server 详情

来自 ModelScope 索引

title: MonteWalk emoji: colorFrom: blue colorTo: purple sdk: gradio sdk_version: 6.0.0 app_file: app.py pinned: true tags:

  • building-mcp-track-enterprise
  • building-mcp-track-consumer
  • MODAL.com

MonteWalk

Institutional-grade quantitative trading tools for AI agents
Built for the MCP 1st Birthday Hackathon

License: MIT MCP Compatible Gradio 6

** MCP Server Stats:**
25+ Tools | 4 Resources | 6 Agentic Prompts


The Problem

Retail traders face an overwhelming flood of market data, news, and analysis toolsbut lack the institutional-grade infrastructure to make sense of it all:

  • Data Overload: Thousands of stocks, crypto assets, news sourcesimpossible to monitor manually
  • Risk Blindness: No access to professional risk metrics (VaR, drawdown, Monte Carlo)
  • Execution Friction: Scattered tools across multiple platforms, no unified workflow
  • AI Disconnect: Existing AI assistants can't access real-time market data or execute trades

What if your AI assistant could be your quantitative analyst, risk manager, and trading deskall in one?


The Solution

MonteWalk is a Model Context Protocol (MCP) server that transforms AI assistants like Claude into institutional-grade trading terminals. It provides:

MCP Integration

Connect to Claude Desktop, VSCode, or any MCP-compatible client to give your AI:

  • Real-time market data (stocks, crypto, news)
  • Portfolio management and execution
  • Risk analytics and backtesting
  • Intelligent workflows and automation

Beautiful Gradio 6 Interface

Test all tools through a polished, professional UI featuring:

  • Live Dashboard: Portfolio, watchlist, crypto trends, news feed
  • Interactive Toolbox: Direct access to 25+ trading tools
  • MCP Client Setup: Copy-paste configuration for instant connection
  • Dark Theme: Sleek glassmorphism design with smooth animations

Agentic Workflows

Pre-built prompts that guide AI through complex multi-step analyses:

  • Morning Briefing: Portfolio review, market scan, risk check
  • Gamma Hunt: Find unusual market activity and deep-dive top picks
  • Ticker Analysis: Comprehensive research (fundamentals, technicals, sentiment)
  • Portfolio Rebalancing: Optimize weights using modern portfolio theory

Key Features

Market Intelligence

  • Multi-source Data: Yahoo Finance, Alpaca, CoinGeckoall cached for speed
  • Crypto Support: Live prices, trending coins, comprehensive market data
  • News Aggregation: yfinance NewsAPI GNews fallback pipeline
  • Sentiment Analysis: FinBERT-powered financial sentiment scoring (via Modal)
  • Unusual Activity Scanner: Detect big movers, volume spikes, reversal candidates

Advanced Visualizations

  • Candlestick Charts: Professional OHLC charts with volume bars
  • Interactive Charts: Line, bar, histogram, scatter, heatmap support
  • Dark Theme: Charts styled to match UI with custom color palette
  • Base64 Encoding: Charts returned as embeddable images for AI consumption
  • Integrated with Tools: get_price(visualize=True), monte_carlo_simulation(visualize=True), etc.

Paper Trading Engine

  • $100K Virtual Capital: Risk-free strategy testing on Alpaca Paper Trading
  • Smart Execution: Simulated slippage and transaction costs
  • Pre-trade Risk Checks: Prevents portfolio concentration >50%
  • Position Management: Instant portfolio view and one-click flatten

Institutional Risk Analytics

  • Value at Risk (VaR): Historical simulation at any confidence level
  • Monte Carlo Forecasting: GBM-based portfolio path simulations
  • Volatility Metrics: Annualized portfolio standard deviation
  • Drawdown Analysis: Track maximum peak-to-trough decline

Professional Backtesting

  • Walk-Forward Analysis: Out-of-sample validation to prevent overfitting
  • Strategy Lab: Test MA crossovers, custom indicators, any logic
  • Transaction Costs: Realistic modeling with slippage and fees

Technical Analysis Suite

  • Smart Signals: Automated Buy/Sell/Neutral recommendations
  • 20+ Indicators: RSI, MACD, Bollinger Bands, SMAs, and more
  • Portfolio Optimization: Mean-variance, risk parity algorithms

Intelligent Watchlist

  • Auto-sync: Detects owned stocks not in watchlist and prompts addition
  • Live Prices: Real-time updates for tracked symbols
  • News Feed: Aggregated headlines for all watched assets

UI/UX Showcase

MonteWalk features a professionally designed Gradio 6 interface optimized for traders:

Landing Page

  • Hero Section: Clear value proposition with feature cards
  • Glassmorphism Design: Modern dark theme with subtle transparency
  • Smooth Navigation: Instant page transitions with scroll-to-top

Dashboard

  • 4-Panel Layout: Portfolio, Watchlist, Crypto, Newsall in one view
  • One-Click Refresh: Update all data sources simultaneously
  • Responsive Design: Works seamlessly on desktop and tablet

Toolbox

  • Organized by Category: 9 tool groups with collapsible accordions
  • Dynamic Forms: Auto-generated from function signatures
  • Clear Results: Formatted outputs with syntax highlighting

Settings

  • API Configuration: Secure credential management with password fields
  • Instant Feedback: Clear success/error messages
  • Restart Prompt: Guides users on applying changes

Technical Implementation

Built with Gradio 6

  • Native MCP Support: demo.launch(mcp_server=True) enables seamless integration
  • Custom Theming: Profession…

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自动安装

点击按钮会唤起 PolarBear 客户端,并把当前 MCP Server 的 Markdown 详情文档地址传给客户端。

/api/mcps/n-lia-montewalk/markdown
打开 PolarBear 安装查看 Markdown 文档

手动安装

在 PolarBear 或其他支持 MCP 的客户端中,新建 MCP Server,并参考下方来源或安装提示配置。

git clone https://github.com/N-lia/MonteWalk.git cd MonteWalk python3 -m venv .venv source .venv/bin/activate # Windows: .venv\Scripts\activate pip install -r requirements.txt

基本信息

分类
金融 / rag-systems / autonomous-agents
运行方式
No
许可证
MIT License
详情文件
n-lia-montewalk.md