MonteWalk

# Social Media Post Templates ## Twitter/X Post ### Option 1: Technical Audience ``` 🏔️ MonteWalk is LIVE! Built for #MCP1stBirthday - Give your AI assistant institutional-grade trading superpowers: 📊 Real-time market data (stocks + crypto) ⚡ $100K paper trading via @AlpacaHQ 🛡️ VaR, Monte Carlo, risk analytics 🧠 FinBERT sentiment (@modal_labs) 🤖 25 tools via Model Context Protocol Try it: [HF_SPACE_URL] Code: [GITHUB_URL] #Gradio6 #AgenticAI #FinTech #OpenSource ``` ### Option 2: Trader Audience ``` 📈 Tired of scattered trading tools? MonteWalk connects @AnthropicAI Claude to: • Live market data & news • Professional risk metrics (VaR, drawdown) • Portfolio optimization algorithms • Automated morning briefings Try it for FREE with $100K virtual capital 💰 Built with @Gradio + MCP for the #MCP1stBirthday hackathon 🔗 [HF_SPACE_URL] #Trading #AlgoTrading #AI #QuantFinance ``` ### Option 3: Developer Audience ``` 🚀 Ship your first MCP server in minutes MonteWalk = open-source reference for: ✓ Gradio 6 + MCP integration ✓ Multi-source data aggregation ✓ Financial tool design patterns ✓ Agentic workflow prompts Perfect for #MCP1stBirthday submissions! Live demo: [HF_SPACE_URL] Star on GitHub: [GITHUB_URL] #MCP #Gradio #Python #DevTools ``` --- ## LinkedIn Post ### Professional Version ``` 🏔️ Excited to share MonteWalk - my submission for the MCP 1st Birthday Hackathon! THE PROBLEM: Retail traders drown in data but lack institutional-grade tools. Existing AI assistants can't access real-time markets or execute trades. THE SOLUTION: MonteWalk is a Model Context Protocol (MCP) server that transforms Claude into a quantitative trading terminal. KEY FEATURES: 📊 Market Intelligence: Live data from Yahoo Finance, Alpaca, CoinGecko ⚡ Paper Trading: $100K virtual capital, zero risk 🛡️ Risk Analytics: VaR, Monte Carlo, volatility metrics 🔬 Backtesting: Walk-forward analysis, strategy validation 🧠 Sentiment AI: FinBERT-powered news analysis 🎨 Professional UI: Built with Gradio 6 TECHNICAL HIGHLIGHTS: • 25 specialized trading tools • 6 pre-built agentic workflows • Multi-source fallback pipeline • Serverless GPU inference (Modal) • Beautiful glassmorphism UI IMPACT: Democratizing institutional finance tools for retail traders while providing developers with a reference implementation for financial MCP servers. Try it live on Hugging Face Spaces: [HF_SPACE_URL] Explore the code: [GITHUB_URL] Would love your feedback! What financial tools would make your AI assistant more powerful? #FinTech #QuantitativeFinance #AI #MCP #Gradio #OpenSource #AlgoTrading ``` --- ## Reddit Post ### r/algotrading **Title**: [Open Source] MonteWalk - MCP server that gives Claude institutional-grade trading tools **Body**: ``` Hey r/algotrading! I built MonteWalk for the MCP 1st Birthday Hackathon - it's an open-source server that connects AI assistants (like Claude) to professional trading infrastructure. **What it does:** - Gives your AI access to 25 trading tools via Model Context Protocol - Paper trading with $100K virtual capital (Alpaca) - Real-time data: stocks, crypto, news, sentiment - Risk analytics: VaR, Monte Carlo, drawdown - Backtesting with walk-forward analysis - Portfolio optimization (mean-variance, risk parity) **Why MCP?** Instead of building yet another standalone trading bot, I wanted to augment existing AI assistants. You can literally ask Claude "What's my portfolio risk?" or "Backtest a 10/50 MA crossover on AAPL" and it uses MonteWalk's tools. **Tech Stack:** - Python (FastMCP, Gradio 6) - Alpaca (paper trading API) - yfinance, CoinGecko, NewsAPI - FinBERT sentiment (Modal serverless) **Live Demo:** [HF_SPACE_URL] **GitHub:** [GITHUB_URL] Try it out and LMK what you think! Open to PRs and feature requests. ``` ### r/gradio **Title**: Built a professional trading terminal with Gradio 6 + MCP for the hackathon **Body**: ``` Sharing my MCP 1st Birthday submission - MonteWalk! **Features:** ✓ Glassmorphism dark theme with custom CSS ✓ Multi-page navigation (landing, dashboard, setup) ✓ 25 auto-generated tool interfaces from function signatures ✓ Native MCP server integration (`mcp_server=True`) ✓ Live data dashboard with one-click refresh **UI Highlights:** - Custom theme using gr.themes.Base - Smooth page transitions with scroll_to_output - Collapsible accordions for tool organization - Professional typography (Inter + JetBrains Mono) **Code is open source** if you want to see how I structured the theming and navigation! Live: [HF_SPACE_URL] GitHub: [GITHUB_URL] Feedback welcome! ``` --- ## Hacker News Post ### Show HN Template **Title**: Show HN: MonteWalk - Give AI assistants institutional-grade trading tools via MCP **Text**: ``` Hey HN! I built MonteWalk for the MCP 1st Birthday Hackathon. It's an MCP server that gives AI assistants like Claude access to quantitative trading infrastructure. The Model Context Protocol (https://modelcontextprotocol.io) lets you extend AI assistants with custom tools. MonteWalk provides 25 trading tools: market data, paper trading, risk analytics, backtesting, portfolio optimization, and sentiment analysis. **Demo:** [HF_SPACE_URL] **Code:** [GITHUB_URL] **Why this matters:** - Retail traders lack institutional-grade tools (VaR, Monte Carlo, optimization) - Data is scattered across platforms (stocks, crypto, news) - AI assistants can't connect to live markets MonteWalk bridges this gap. You can ask Claude "What's my portfolio VaR?" or "Run a morning briefing" and it orchestrates multi-step workflows using real market data. Built with: - Gradio 6 (UI + MCP server) - Alpaca (paper trading) - FinBERT sentiment (Modal serverless) - Multi-source data aggregation Everything is paper trading only (no real money risk). Perfect for learning algorithmic trading or testing strategies. Happy to answer questions! ``` --- ## Usage Instructions 1. **Customize placeholders**: - `[HF_SPACE_URL]` → Your Hugging Face Space URL - `[GITHUB_URL]` → Your GitHub repo URL 2. **Add visuals**: - Screenshot of landing page - Dashboard view - Claude Desktop integration demo 3. **Timing**: - Post when hackathon judges announce evaluation start - Share in relevant Discord/Slack communities - Cross-post to maximize reach 4. **Engagement**: - Respond to comments within 1 hour - Provide help for setup issues - Thank people for feedback --- ## Hashtag Strategy **Primary**: #MCP1stBirthday #Gradio6 #ModelContextProtocol **Secondary**: #FinTech #AlgoTrading #QuantFinance #AgenticAI **Platform**: #Python #OpenSource #AI #MachineLearning **Brands**: @Gradio @AnthropicAI @HuggingFace @AlpacaHQ @modal_labs