investbuddy
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"
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"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)",
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"https://twitter.com/investbuddyai",
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"@type": "Question",
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"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."
}
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"@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."
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"@type": "Question",
"name": "What makes InvestBuddy different from other investment platforms?",
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"@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."
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}
]
}
]
}
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