i

investbuddy

@danielrz/investbuddy
1 Stars 3 次浏览 danielrz 更新于 2026-08-23

AI-powered stock predictions with 79.86% accuracy. 10-day forecasts & portfolio analysis.

MCP 服务配置

复制以下 JSON 到 OPClaw 或其他 MCP 客户端的配置文件中即可使用

{
  "mcpServers": {
    "investbuddy-mcp-server": {
      "args": [
        "investbuddy-mcp-server@1.0.8"
      ],
      "command": "npx"
    }
  }
}

可用工具 (5 个)

该服务在 MCP 协议中暴露的工具,AI 可按需调用

tavily_search 14 个参数 需填 1 项

Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.

必填参数:query

tavily_extract 6 个参数 需填 1 项

Extract content from URLs. Returns raw page content in markdown or text format.

必填参数:urls

tavily_crawl 11 个参数 需填 1 项

Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.

必填参数:url

tavily_map 8 个参数 需填 1 项

Map a website's structure. Returns a list of URLs found starting from the base URL.

必填参数:url

tavily_research 2 个参数 需填 1 项

Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources to answer a question or complete a task. Returns a detailed response based on the research findings.

必填参数:input

服务介绍

<!- - Primary Meta Tags - ->
<title>InvestBuddy - AI-Powered Portfolio Optimization & Stock Predictions</title>
<meta name="title" content="InvestBuddy - AI-Powered Portfolio Optimization & Stock Predictions">
<meta name="description" content="Advanced AI portfolio optimization powered by a 2-Layer LSTM. +15.92% audited Alpha with monthly friction-optimized rebalancing.">
<meta name="keywords" content="AI portfolio optimization, machine learning stock predictions, reinforcement learning trading, portfolio analytics, AI investment advisor, LSTM stock forecasting, automated portfolio management, InvestBuddy, AI trading, investment AI">
<meta name="author" content="InvestBuddy">
<meta name="robots" content="index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1">

<!- - Additional SEO Meta Tags - ->
<meta name="theme-color" content="# 1e40af">
<meta name="application-name" content="InvestBuddy">
<meta name="msapplication-TileColor" content="# 1e40af">
<meta name="google-site-verification" content="REPLACE_WITH_GOOGLE_VERIFICATION_CODE">

<!- - Canonical URL - ->
<link rel="canonical" href="https://www.investbuddy.ai/">

<!- - Open Graph / Facebook - ->
<meta property="og:type" content="website">
<meta property="og:url" content="https://www.investbuddy.ai/">
<meta property="og:title" content="InvestBuddy - AI-Powered Investment Platform">
<meta property="og:description" content="Advanced AI portfolio optimization powered by a 2-Layer LSTM. +15.92% audited Alpha with monthly friction-optimized rebalancing.">
<meta property="og:image" content="https://www.investbuddy.ai/og-image.png">
<meta property="og:image:width" content="1200">
<meta property="og:image:height" content="630">
<meta property="og:site_name" content="InvestBuddy">

<!- - Twitter - ->
<meta name="twitter:card" content="summary_large_image">
<meta name="twitter:url" content="https://www.investbuddy.ai/">
<meta name="twitter:title" content="InvestBuddy - AI Investment Platform">
<meta property="twitter:description" content="Advanced AI portfolio optimization powered by a 2-Layer LSTM. +15.92% audited Alpha with monthly friction-optimized rebalancing.">
<meta name="twitter:image" content="https://www.investbuddy.ai/twitter-image.png">

<!- - Google tag (gtag.js) - ->
<script async src="https://www.googletagmanager.com/gtag/js?id=G-HV1VC5KQ4C"></script>
<script>
  window.dataLayer = window.dataLayer || [];
  function gtag(){dataLayer.push(arguments);}
  gtag('js', new Date());

  gtag('config', 'G-HV1VC5KQ4C');
</script>

<!- - Schema.org Structured Data - ->
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "SoftwareApplication",
      "name": "InvestBuddy",
      "applicationCategory": "FinanceApplication",
      "operatingSystem": "Web Browser",
      "offers": {
        "@type": "Offer",
        "price": "0",
        "priceCurrency": "USD",
        "priceValidUntil": "2025-12-31",
        "description": "7-day free trial",
        "availability": "https://schema.org/InStock"
      },
      "aggregateRating": {
        "@type": "AggregateRating",
        "ratingValue": "4.7",
        "ratingCount": "1250",
        "bestRating": "5"
      },
      "description": "Advanced AI portfolio optimization powered by a 2-Layer LSTM. +15.92% audited Alpha with monthly friction-optimized rebalancing.",
      "featureList": [
        "2-Layer Stacked LSTM (145,354 parameters, 49 features)",
        "10-day Stock Predictions (54.6% accuracy, 48.5% live win rate)",
        "+15.92% Alpha vs S&P 500 (monthly rebalancing)",
        "Real-time Portfolio Analytics",
        "AI-Powered Stock Discovery (50 S&P 100 stocks)",
        "Goal-Aligned Portfolio Tracking",
        "Market Regime Detection"
      ],
      "screenshot": "https://www.investbuddy.ai/screenshots/dashboard.png"
    },
    {
      "@type": "Organization",
      "name": "InvestBuddy",
      "url": "https://www.investbuddy.ai",
      "logo": "https://www.investbuddy.ai/InvestBuddyLogo.png",
      "description": "Advanced AI investment platform powered by reinforcement learning and machine learning.",
      "sameAs": [
        "https://twitter.com/investbuddyai",
        "https://linkedin.com/company/investbuddy"
      ],
      "contactPoint": {
        "@type": "ContactPoint",
        "contactType": "Customer Support",
        "email": "support@investbuddy.ai",
        "availableLanguage": "English"
      }
    },
    {
      "@type": "FAQPage",
      "mainEntity": [
        {
          "@type": "Question",
          "name": "What is InvestBuddy?",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "InvestBuddy is an AI-powered portfolio optimization platform that uses a 2-Layer Stacked LSTM (128→64 units, 145,354 parameters) with 49 technical indicators. The model was trained on 50 S&P 100 stocks over 5+ years (2019-2024) with 45,900 sequences. Our monthly friction-optimized rebalancing strategy achieves +15.92% Alpha over the S&P 500."
          }
        },
        {
          "@type": "Question",
          "name": "How accurate are the AI predictions?",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "Our 2-Layer LSTM model achieves 54.6% directional accuracy on 10-day stock predictions (training validation) and 48.5% win rate in live backtesting (315 trades). This honest validation includes transaction costs and slippage. By combining ML predictions with monthly rebalancing to minimize friction, the strategy achieves +15.92% Alpha over the S&P 500 benchmark. Models use 49 technical indicators across 50 S&P 100 stocks. Note: Past performance does not guarantee future results."
          }
        },
        {
          "@type": "Question",
          "name": "Is there a free trial?",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "Yes! We offer a 7-day free trial with full access to all features including AI stock recommendations, portfolio optimization, real-time analytics, and market regime detection. No credit card required."
          }
        },
        {
          "@type": "Question",
          "name": "What makes InvestBuddy different from other investment platforms?",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "InvestBuddy combines a 2-Layer Stacked LSTM neural network (145,354 parameters) with 49 technical features for stock predictions, monthly friction-optimized rebalancing to minimize transaction costs, and real-time market regime detection. We provide full transparency into AI reasoning with confidence scores. The result: +15.92% Alpha over the S&P 500 with monthly rebalancing that avoids the 26% performance drag from excessive trading costs."
          }
        }
      ]
    }
  ]
}
</script>
<script type="module" crossorigin src="/assets/index-67044de1.js"></script>
<link rel="stylesheet" href="/assets/index-b1b1a8f6.css">

相关 MCP 服务