[{"_1":2,"_312":-5,"_313":-5},"loaderData",{"_3":4,"_22":23,"_24":25,"_246":247},"root",{"_5":6,"_7":8},"toasts",[],"visitor",{"_9":10,"_11":12},"viewportWidth",1280,"visitorSession",{"_13":14,"_16":17,"_18":-5,"_19":20,"_21":-5},"attributes",[15],"BOT","id",6147817,"membership","referenceId","0196b30c-2292-7989-a24f-473af6761e70","userAccount","routes/_public/_layout",{},"routes/_public/mcp/servers/~namespace/~slug/_pages/_layout",{"_26":27,"_68":-5,"_69":28,"_29":70,"_164":165,"_245":122},"availableLocales",[28,40,47,54,61],{"_29":30,"_33":37,"_38":39},"mcpServer",{"_31":32,"_33":34,"_35":36},"description","Provides comprehensive stock screening capabilities through Yahoo Finance. Enables LLMs to screen stocks based on technical, fundamental, and options criteria, with support for watchlist management and result storage.","name","StockScreen MCP Server","readme","# StockScreen MCP Server\n\nA Model Context Protocol (MCP) server providing comprehensive stock screening capabilities through Yahoo Finance. Enables LLMs to screen stocks based on technical, fundamental, and options criteria, with support for watchlist management and result storage.\n\n## Features\n\n### Stock Screening\n- Technical Analysis Screening\n - Price and volume filters\n - Moving averages (20, 50, 200 SMA)\n - RSI indicators\n - Average True Range (ATR)\n - Trend analysis (1d, 5d, 20d changes)\n - MA distance calculations\n\n- Fundamental Screening\n - Market capitalization filters\n - P/E ratio analysis\n - Dividend yield criteria\n - Revenue growth metrics\n - ETF-specific metrics (AUM, expense ratio)\n\n- Options Screening\n - Implied Volatility (IV) filters\n - Options volume and open interest\n - Put/Call ratio analysis\n - Bid-ask spread evaluation\n - Earnings date proximity checks\n\n### Data Management\n- Watchlist Creation and Management\n- Screening Result Storage\n- Default Symbol Categories\n - Mega Cap (>$200B)\n - Large Cap ($10B-$200B)\n - Mid Cap ($2B-$10B)\n - Small Cap ($300M-$2B)\n - Micro Cap (<$300M)\n - ETFs\n\n## Installation\n\n```bash\n# Install dependencies\npip install -r requirements.txt\n\n# Clone the repository\ngit clone https://github.com/twolven/mcp-stockscreen.git\ncd mcp-stockscreen\n```\n\n## Usage\n\n1. Add to your Claude configuration:\nIn your `claude-desktop-config.json`, add the following to the `mcpServers` section:\n\n```json\n{\n \"mcpServers\": {\n \"stockscreen\": {\n \"command\": \"python\",\n \"args\": [\"path/to/stockscreen.py\"]\n }\n }\n}\n```\n\nReplace \"path/to/stockscreen.py\" with the full path to where you saved the stockscreen.py file.\n\n## Available Tools\n\n## Available Tools\n\n1. `run_stock_screen`\n \n### Technical Screen Criteria\n```python\n{\n \"screen_type\": \"technical\",\n \"criteria\": {\n \"min_price\": float, # Minimum stock price\n \"max_price\": float, # Maximum stock price\n \"min_volume\": int, # Minimum average volume\n \"above_sma_200\": bool, # Price above 200-day SMA\n \"above_sma_50\": bool, # Price above 50-day SMA\n \"min_rsi\": float, # Minimum RSI value\n \"max_rsi\": float, # Maximum RSI value\n \"max_atr_pct\": float, # Maximum ATR as percentage of price\n \"category\": str # Optional: market cap category filter\n },\n \"watchlist\": str, # Optional: name of watchlist to screen\n \"save_result\": str # Optional: name to save results\n}\n```\n\n### Fundamental Screen Criteria\n```python\n{\n \"screen_type\": \"fundamental\",\n \"criteria\": {\n \"min_market_cap\": float, # Minimum market capitalization\n \"min_pe\": float, # Minimum P/E ratio\n \"max_pe\": float, # Maximum P/E ratio\n \"min_dividend\": float, # Minimum dividend yield (%)\n \"min_revenue_growth\": float, # Minimum revenue growth rate\n \"category\": str, # Optional: market cap category filter\n \n # ETF-specific criteria\n \"min_aum\": float, # Minimum assets under management\n \"max_expense_ratio\": float, # Maximum expense ratio\n \"min_volume\": float # Minimum trading volume\n },\n \"watchlist\": str, # Optional: name of watchlist to screen\n \"save_result\": str # Optional: name to save results\n}\n```\n\n### Options Screen Criteria\n```python\n{\n \"screen_type\": \"options\",\n \"criteria\": {\n \"min_iv\": float, # Minimum implied volatility (%)\n \"max_iv\": float, # Maximum implied volatility (%)\n \"min_option_volume\": int, # Minimum options volume\n \"min_put_call_ratio\": float, # Minimum put/call ratio\n \"max_spread\": float, # Maximum bid-ask spread (%)\n \"min_days_to_earnings\": int, # Minimum days until earnings\n \"max_days_to_earnings\": int, # Maximum days until earnings\n \"category\": str # Optional: market cap category filter\n },\n \"watchlist\": str, # Optional: name of watchlist to screen\n \"save_result\": str # Optional: name to save results\n}\n```\n\n### News Screen Criteria\n```python\n{\n \"screen_type\": \"news\",\n \"criteria\": {\n \"keywords\": List[str], # Keywords to search for in news\n \"exclude_keywords\": List[str], # Keywords to exclude from results\n \"min_days\": int, # Minimum days back to search\n \"max_days\": int, # Maximum days back to search\n \"management_changes\": bool, # Filter for management changes\n \"require_all_keywords\": bool, # Require all keywords to match\n \"category\": str # Optional: market cap category filter\n },\n \"watchlist\": str, # Optional: name of watchlist to screen\n \"save_result\": str # Optional: name to save results\n}\n\n```\n\n### Custom Screen Criteria\n```python\n{\n \"screen_type\": \"custom\",\n \"criteria\": {\n \"category\": str, # Optional: market cap category filter\n \"technical\": {\n # Any technical criteria from above\n },\n \"fundamental\": {\n # Any fundamental criteria from above\n },\n \"options\": {\n # Any options criteria from above\n },\n \"news\": {\n # Any news criteria from above\n }\n },\n \"watchlist\": str, # Optional: name of watchlist to screen\n \"save_result\": str # Optional: name to save results\n}\n```\n\n### Category Values\nAva1ilable market cap categories for filtering:\n- \"mega_cap\": >$200B\n- \"large_cap\": $10B-$200B\n- \"mid_cap\": $2B-$10B\n- \"small_cap\": $300M-$2B\n- \"micro_cap\": <$300M\n- \"etf\": ETF instruments\n\n2. `manage_watchlist`\n```python\n{\n \"action\": str, # Required: \"create\", \"update\", \"delete\", \"get\"\n \"name\": str, # Required: watchlist name (1-50 chars, alphanumeric with _ -)\n \"symbols\": List[str] # Required for create/update: list of stock symbols\n}\n```\n\n3. `get_screening_result`\n```python\n{\n \"name\": str # Required: name of saved screening result\n}\n```\n\n## Response Formats\n\n### Technical Screen Response\n```python\n{\n \"screen_type\": \"technical\",\n \"criteria\": dict, # Original criteria used\n \"matches\": int, # Number of matching stocks\n \"results\": [ # List of matching stocks\n {\n \"symbol\": str,\n \"price\": float,\n \"volume\": float,\n \"rsi\": float,\n \"sma_20\": float,\n \"sma_50\": float,\n \"sma_200\": float,\n \"atr\": float,\n \"atr_pct\": float,\n \"price_changes\": {\n \"1d\": float, # 1-day price change %\n \"5d\": float, # 5-day price change %\n \"20d\": float # 20-day price change %\n },\n \"ma_distances\": {\n \"pct_from_20sma\": float,\n \"pct_from_50sma\": float,\n \"pct_from_200sma\": float\n }\n }\n ],\n \"rejected\": [ # List of stocks that didn't match\n {\n \"symbol\": str,\n \"rejection_reasons\": List[str]\n }\n ],\n \"timestamp\": str\n}\n```\n## Usage Prompt for Claude\n\n\"I've enabled the stockscreen tools which provide stock screening capabilities. You can use three main functions:\n\n1. Screen stocks with various criteria types:\n - Technical: Price, volume, RSI, moving averages, ATR\n - Fundamental: Market cap, P/E, dividends, growth\n - Options: IV, volume, earnings dates\n - Custom: Combine multiple criteria types\n\n2. Manage watchlists:\n - Create and update symbol lists\n - Delete existing watchlists\n - Retrieve watchlist contents\n\n3. Access saved screening results:\n - Load previous screen results\n - Review matched symbols and criteria\n\nAll functions include error handling, detailed market data, and comprehensive responses.\"\n\n## Requirements\n\n- Python 3.12+\n- MCP Server\n- yfinance\n- pandas\n- numpy\n- asyncio\n\n## Limitations\n\n- Data sourced from Yahoo Finance with potential delays\n- Rate limits based on Yahoo Finance API restrictions\n- Options data availability depends on market hours\n- Some financial metrics may be delayed or unavailable\n\n## Contributing\n\nContributions are welcome! Please feel free to submit a Pull Request.\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## Author\n\nTodd Wolven - (https://github.com/twolven)\n\n## Acknowledgments\n\n- Built with the Model Context Protocol (MCP) by Anthropic\n- Data provided by [Yahoo Finance](https://finance.yahoo.com/)\n- Developed for use with Anthropic's Claude\n","English","tag","en-US",{"_29":41,"_33":45,"_38":46},{"_31":42,"_33":43,"_35":44},"Ofrece funciones integrales de selección de acciones a través de Yahoo Finance. Permite a los LLM seleccionar acciones según criterios técnicos, fundamentales y de opciones, con soporte para la gestión de listas de seguimiento y el almacenamiento de resultados.","Servidor MCP de StockScreen","# Servidor MCP de StockScreen\n\nUn servidor de Protocolo de Contexto de Modelo (MCP) que ofrece funciones integrales de selección de acciones a través de Yahoo Finance. Permite a los LLM seleccionar acciones según criterios técnicos, fundamentales y de opciones, con soporte para la gestión de listas de seguimiento y el almacenamiento de resultados.\n\n## Características\n\n### Selección de acciones\n\n* Evaluación de análisis técnico\n\n * Filtros de precio y volumen\n * Promedios móviles (SMA de 20, 50 y 200)\n * Indicadores RSI\n * Rango verdadero promedio (ATR)\n * Análisis de tendencias (cambios en 1 día, 5 días y 20 días)\n * Cálculos de distancia MA\n\n* Detección fundamental\n\n * Filtros de capitalización de mercado\n * Análisis de la relación precio-beneficio\n * Criterios de rendimiento de dividendos\n * Métricas de crecimiento de los ingresos\n * Métricas específicas de ETF (AUM, ratio de gastos)\n\n* Evaluación de opciones\n\n * Filtros de volatilidad implícita (IV)\n * Volumen de opciones e interés abierto\n * Análisis de la relación put/call\n * Evaluación del diferencial entre oferta y demanda\n * Verificaciones de proximidad de la fecha de ganancias\n\n### Gestión de datos\n\n* Creación y gestión de listas de vigilancia\n* Almacenamiento de resultados de detección\n* Categorías de símbolos predeterminadas\n * Mega capitalización (>$200 mil millones)\n * Gran capitalización ($10 mil millones a $200 mil millones)\n * Mediana capitalización ($2 mil millones a $10 mil millones)\n * Pequeña capitalización (300 millones de dólares - 2 mil millones de dólares)\n * Micro capitalización (<$300 millones)\n * ETF\n\n## Instalación\n\n```bash\n# Install dependencies\npip install -r requirements.txt\n\n# Clone the repository\ngit clone https://github.com/twolven/mcp-stockscreen.git\ncd mcp-stockscreen\n```\n\n## Uso\n\n1. Agregue a su configuración de Claude: En su `claude-desktop-config.json` , agregue lo siguiente a la sección `mcpServers` :\n\n```json\n{\n \"mcpServers\": {\n \"stockscreen\": {\n \"command\": \"python\",\n \"args\": [\"path/to/stockscreen.py\"]\n }\n }\n}\n```\n\nReemplace \"path/to/stockscreen.py\" con la ruta completa donde guardó el archivo stockscreen.py.\n\n## Herramientas disponibles\n\n## Herramientas disponibles\n\n1. `run_stock_screen`\n\n### Criterios de selección técnica\n\n```python\n{\n \"screen_type\": \"technical\",\n \"criteria\": {\n \"min_price\": float, # Minimum stock price\n \"max_price\": float, # Maximum stock price\n \"min_volume\": int, # Minimum average volume\n \"above_sma_200\": bool, # Price above 200-day SMA\n \"above_sma_50\": bool, # Price above 50-day SMA\n \"min_rsi\": float, # Minimum RSI value\n \"max_rsi\": float, # Maximum RSI value\n \"max_atr_pct\": float, # Maximum ATR as percentage of price\n \"category\": str # Optional: market cap category filter\n },\n \"watchlist\": str, # Optional: name of watchlist to screen\n \"save_result\": str # Optional: name to save results\n}\n```\n\n### Criterios fundamentales de selección\n\n```python\n{\n \"screen_type\": \"fundamental\",\n \"criteria\": {\n \"min_market_cap\": float, # Minimum market capitalization\n \"min_pe\": float, # Minimum P/E ratio\n \"max_pe\": float, # Maximum P/E ratio\n \"min_dividend\": float, # Minimum dividend yield (%)\n \"min_revenue_growth\": float, # Minimum revenue growth rate\n \"category\": str, # Optional: market cap category filter\n \n # ETF-specific criteria\n \"min_aum\": float, # Minimum assets under management\n \"max_expense_ratio\": float, # Maximum expense ratio\n \"min_volume\": float # Minimum trading volume\n },\n \"watchlist\": str, # Optional: name of watchlist to screen\n \"save_result\": str # Optional: name to save results\n}\n```\n\n### Criterios de la pantalla de opciones\n\n```python\n{\n \"screen_type\": \"options\",\n \"criteria\": {\n \"min_iv\": float, # Minimum implied volatility (%)\n \"max_iv\": float, # Maximum implied volatility (%)\n \"min_option_volume\": int, # Minimum options volume\n \"min_put_call_ratio\": float, # Minimum put/call ratio\n \"max_spread\": float, # Maximum bid-ask spread (%)\n \"min_days_to_earnings\": int, # Minimum days until earnings\n \"max_days_to_earnings\": int, # Maximum days until earnings\n \"category\": str # Optional: market cap category filter\n },\n \"watchlist\": str, # Optional: name of watchlist to screen\n \"save_result\": str # Optional: name to save results\n}\n```\n\n### Criterios de la pantalla de noticias\n\n```python\n{\n \"screen_type\": \"news\",\n \"criteria\": {\n \"keywords\": List[str], # Keywords to search for in news\n \"exclude_keywords\": List[str], # Keywords to exclude from results\n \"min_days\": int, # Minimum days back to search\n \"max_days\": int, # Maximum days back to search\n \"management_changes\": bool, # Filter for management changes\n \"require_all_keywords\": bool, # Require all keywords to match\n \"category\": str # Optional: market cap category filter\n },\n \"watchlist\": str, # Optional: name of watchlist to screen\n \"save_result\": str # Optional: name to save results\n}\n\n```\n\n### Criterios de pantalla personalizados\n\n```python\n{\n \"screen_type\": \"custom\",\n \"criteria\": {\n \"category\": str, # Optional: market cap category filter\n \"technical\": {\n # Any technical criteria from above\n },\n \"fundamental\": {\n # Any fundamental criteria from above\n },\n \"options\": {\n # Any options criteria from above\n },\n \"news\": {\n # Any news criteria from above\n }\n },\n \"watchlist\": str, # Optional: name of watchlist to screen\n \"save_result\": str # Optional: name to save results\n}\n```\n\n### Valores de categoría\n\nCategorías de capitalización de mercado disponibles para filtrar:\n\n* \"mega\\_cap\": >$200 mil millones\n* \"gran capitalización\": 10 mil millones de dólares a 200 mil millones de dólares\n* \"mid\\_cap\": $2 mil millones - $10 mil millones\n* \"small\\_cap\": $300 millones - $2 mil millones\n* \"micro\\_cap\": <$300 millones\n* \"etf\": instrumentos ETF\n\n2. `manage_watchlist`\n\n```python\n{\n \"action\": str, # Required: \"create\", \"update\", \"delete\", \"get\"\n \"name\": str, # Required: watchlist name (1-50 chars, alphanumeric with _ -)\n \"symbols\": List[str] # Required for create/update: list of stock symbols\n}\n```\n\n3. `get_screening_result`\n\n```python\n{\n \"name\": str # Required: name of saved screening result\n}\n```\n\n## Formatos de respuesta\n\n### Respuesta técnica de la pantalla\n\n```python\n{\n \"screen_type\": \"technical\",\n \"criteria\": dict, # Original criteria used\n \"matches\": int, # Number of matching stocks\n \"results\": [ # List of matching stocks\n {\n \"symbol\": str,\n \"price\": float,\n \"volume\": float,\n \"rsi\": float,\n \"sma_20\": float,\n \"sma_50\": float,\n \"sma_200\": float,\n \"atr\": float,\n \"atr_pct\": float,\n \"price_changes\": {\n \"1d\": float, # 1-day price change %\n \"5d\": float, # 5-day price change %\n \"20d\": float # 20-day price change %\n },\n \"ma_distances\": {\n \"pct_from_20sma\": float,\n \"pct_from_50sma\": float,\n \"pct_from_200sma\": float\n }\n }\n ],\n \"rejected\": [ # List of stocks that didn't match\n {\n \"symbol\": str,\n \"rejection_reasons\": List[str]\n }\n ],\n \"timestamp\": str\n}\n```\n\n## Aviso de uso para Claude\n\nHe habilitado las herramientas de selección de stock, que ofrecen funciones de selección de stock. Puedes usar tres funciones principales:\n\n1. Pantallas de stock con varios tipos de criterios:\n\n * Técnico: Precio, volumen, RSI, medias móviles, ATR\n * Fundamental: capitalización de mercado, precio/beneficio, dividendos, crecimiento\n * Opciones: IV, volumen, fechas de ganancias\n * Personalizado: combinar varios tipos de criterios\n\n2. Administrar listas de seguimiento:\n\n * Crear y actualizar listas de símbolos\n * Eliminar listas de seguimiento existentes\n * Recuperar el contenido de la lista de seguimiento\n\n3. Acceder a los resultados de detección guardados:\n\n * Cargar resultados de pantalla anteriores\n * Revisar los símbolos y criterios coincidentes\n\nTodas las funciones incluyen manejo de errores, datos detallados del mercado y respuestas integrales\".\n\n## Requisitos\n\n* Python 3.12+\n* Servidor MCP\n* yfinanzas\n* pandas\n* Numpy\n* asincronía\n\n## Limitaciones\n\n* Datos procedentes de Yahoo Finance con posibles retrasos.\n* Límites de tarifas basados en las restricciones de la API de Yahoo Finance\n* La disponibilidad de datos de opciones depende del horario del mercado.\n* Algunas métricas financieras pueden retrasarse o no estar disponibles\n\n## Contribuyendo\n\n¡Agradecemos sus contribuciones! No dude en enviar una solicitud de incorporación de cambios.\n\n## Licencia\n\nEste proyecto está licenciado bajo la licencia MIT: consulte el archivo [de LICENCIA](LICENSE) para obtener más detalles.\n\n## Autor\n\nTodd Wolven - ( )\n\n## Expresiones de gratitud\n\n* Construido con el Protocolo de Contexto de Modelo (MCP) de Anthropic\n* Datos proporcionados por [Yahoo Finance](https://finance.yahoo.com/)\n* Desarrollado para su uso con Claude de Anthropic","Spanish","es-ES",{"_29":48,"_33":52,"_38":53},{"_31":49,"_33":50,"_35":51},"Yahoo!ファイナンスを通じて包括的な株式スクリーニング機能を提供します。LLMは、テクニカル、ファンダメンタル、オプションの基準に基づいて株式をスクリーニングでき、ウォッチリストの管理と結果の保存もサポートされます。","StockScreen MCP サーバー","# StockScreen MCP サーバー\n\nYahoo!ファイナンスを通じて包括的な株式スクリーニング機能を提供するモデルコンテキストプロトコル（MCP）サーバー。LLMがテクニカル、ファンダメンタル、オプションの基準に基づいて株式をスクリーニングできるようにし、ウォッチリストの管理と結果の保存をサポートします。\n\n## 特徴\n\n### 株式スクリーニング\n\n* テクニカル分析スクリーニング\n\n * 価格と数量フィルター\n * 移動平均線（20、50、200 SMA）\n * RSI指標\n * 平均真の範囲（ATR）\n * トレンド分析（1日、5日、20日の変化）\n * MA距離計算\n\n* 基礎スクリーニング\n\n * 時価総額フィルター\n * P/E比率分析\n * 配当利回り基準\n * 収益成長指標\n * ETF固有の指標（運用資産残高、経費率）\n\n* オプションスクリーニング\n\n * インプライドボラティリティ（IV）フィルター\n * オプション取引量と建玉\n * プット/コール比率分析\n * ビッド・アスク・スプレッド評価\n * 決算日の近接性チェック\n\n### データ管理\n\n* ウォッチリストの作成と管理\n* スクリーニング結果の保存\n* デフォルトのシンボルカテゴリ\n * メガキャップ（2,000億ドル以上）\n * 大型株（100億ドル～2,000億ドル）\n * ミッドキャップ（20億ドル～100億ドル）\n * 小型株（3億ドル～20億ドル）\n * マイクロキャップ（3億ドル未満）\n * ETF\n\n## インストール\n\n```bash\n# Install dependencies\npip install -r requirements.txt\n\n# Clone the repository\ngit clone https://github.com/twolven/mcp-stockscreen.git\ncd mcp-stockscreen\n```\n\n## 使用法\n\n1. Claude 構成に追加します。claude `claude-desktop-config.json`で、 `mcpServers`セクションに以下を追加します。\n\n```json\n{\n \"mcpServers\": {\n \"stockscreen\": {\n \"command\": \"python\",\n \"args\": [\"path/to/stockscreen.py\"]\n }\n }\n}\n```\n\n「path/to/stockscreen.py」を、stockscreen.py ファイルを保存した場所へのフルパスに置き換えます。\n\n## 利用可能なツール\n\n## 利用可能なツール\n\n1. `run_stock_screen`\n\n### 技術審査基準\n\n```python\n{\n \"screen_type\": \"technical\",\n \"criteria\": {\n \"min_price\": float, # Minimum stock price\n \"max_price\": float, # Maximum stock price\n \"min_volume\": int, # Minimum average volume\n \"above_sma_200\": bool, # Price above 200-day SMA\n \"above_sma_50\": bool, # Price above 50-day SMA\n \"min_rsi\": float, # Minimum RSI value\n \"max_rsi\": float, # Maximum RSI value\n \"max_atr_pct\": float, # Maximum ATR as percentage of price\n \"category\": str # Optional: market cap category filter\n },\n \"watchlist\": str, # Optional: name of watchlist to screen\n \"save_result\": str # Optional: name to save results\n}\n```\n\n### 基本的なスクリーニング基準\n\n```python\n{\n \"screen_type\": \"fundamental\",\n \"criteria\": {\n \"min_market_cap\": float, # Minimum market capitalization\n \"min_pe\": float, # Minimum P/E ratio\n \"max_pe\": float, # Maximum P/E ratio\n \"min_dividend\": float, # Minimum dividend yield (%)\n \"min_revenue_growth\": float, # Minimum revenue growth rate\n \"category\": str, # Optional: market cap category filter\n \n # ETF-specific criteria\n \"min_aum\": float, # Minimum assets under management\n \"max_expense_ratio\": float, # Maximum expense ratio\n \"min_volume\": float # Minimum trading volume\n },\n \"watchlist\": str, # Optional: name of watchlist to screen\n \"save_result\": str # Optional: name to save results\n}\n```\n\n### オプション画面の基準\n\n```python\n{\n \"screen_type\": \"options\",\n \"criteria\": {\n \"min_iv\": float, # Minimum implied volatility (%)\n \"max_iv\": float, # Maximum implied volatility (%)\n \"min_option_volume\": int, # Minimum options volume\n \"min_put_call_ratio\": float, # Minimum put/call ratio\n \"max_spread\": float, # Maximum bid-ask spread (%)\n \"min_days_to_earnings\": int, # Minimum days until earnings\n \"max_days_to_earnings\": int, # Maximum days until earnings\n \"category\": str # Optional: market cap category filter\n },\n \"watchlist\": str, # Optional: name of watchlist to screen\n \"save_result\": str # Optional: name to save results\n}\n```\n\n### ニューススクリーン基準\n\n```python\n{\n \"screen_type\": \"news\",\n \"criteria\": {\n \"keywords\": List[str], # Keywords to search for in news\n \"exclude_keywords\": List[str], # Keywords to exclude from results\n \"min_days\": int, # Minimum days back to search\n \"max_days\": int, # Maximum days back to search\n \"management_changes\": bool, # Filter for management changes\n \"require_all_keywords\": bool, # Require all keywords to match\n \"category\": str # Optional: market cap category filter\n },\n \"watchlist\": str, # Optional: name of watchlist to screen\n \"save_result\": str # Optional: name to save results\n}\n\n```\n\n### カスタムスクリーン基準\n\n```python\n{\n \"screen_type\": \"custom\",\n \"criteria\": {\n \"category\": str, # Optional: market cap category filter\n \"technical\": {\n # Any technical criteria from above\n },\n \"fundamental\": {\n # Any fundamental criteria from above\n },\n \"options\": {\n # Any options criteria from above\n },\n \"news\": {\n # Any news criteria from above\n }\n },\n \"watchlist\": str, # Optional: name of watchlist to screen\n \"save_result\": str # Optional: name to save results\n}\n```\n\n### カテゴリ値\n\nフィルタリングに利用可能な時価総額のカテゴリー:\n\n* \"mega\\_cap\": >2000億ドル\n* 「大型株」: 100億ドル～2,000億ドル\n* 「ミッドキャップ」: 20億ドル～100億ドル\n* 「small\\_cap」: 3億ドル～20億ドル\n* 「マイクロキャップ」: <3億ドル\n* 「etf」: ETF商品\n\n2. `manage_watchlist`\n\n```python\n{\n \"action\": str, # Required: \"create\", \"update\", \"delete\", \"get\"\n \"name\": str, # Required: watchlist name (1-50 chars, alphanumeric with _ -)\n \"symbols\": List[str] # Required for create/update: list of stock symbols\n}\n```\n\n3. `get_screening_result`\n\n```python\n{\n \"name\": str # Required: name of saved screening result\n}\n```\n\n## 応答形式\n\n### テクニカルスクリーンレスポンス\n\n```python\n{\n \"screen_type\": \"technical\",\n \"criteria\": dict, # Original criteria used\n \"matches\": int, # Number of matching stocks\n \"results\": [ # List of matching stocks\n {\n \"symbol\": str,\n \"price\": float,\n \"volume\": float,\n \"rsi\": float,\n \"sma_20\": float,\n \"sma_50\": float,\n \"sma_200\": float,\n \"atr\": float,\n \"atr_pct\": float,\n \"price_changes\": {\n \"1d\": float, # 1-day price change %\n \"5d\": float, # 5-day price change %\n \"20d\": float # 20-day price change %\n },\n \"ma_distances\": {\n \"pct_from_20sma\": float,\n \"pct_from_50sma\": float,\n \"pct_from_200sma\": float\n }\n }\n ],\n \"rejected\": [ # List of stocks that didn't match\n {\n \"symbol\": str,\n \"rejection_reasons\": List[str]\n }\n ],\n \"timestamp\": str\n}\n```\n\n## クロードの使用プロンプト\n\n株式スクリーニング機能を提供するストックスクリーンツールを有効にしました。主に3つの機能をご利用いただけます。\n\n1. さまざまな基準タイプで株式をスクリーニングします。\n\n * テクニカル指標: 価格、出来高、RSI、移動平均、ATR\n * ファンダメンタルズ：時価総額、PER、配当、成長\n * オプション: IV、出来高、決算日\n * カスタム: 複数の条件タイプを組み合わせる\n\n2. ウォッチリストを管理する:\n\n * シンボルリストの作成と更新\n * 既存のウォッチリストを削除する\n * ウォッチリストの内容を取得する\n\n3. 保存されたスクリーニング結果にアクセスします。\n\n * 前の画面の結果を読み込む\n * 一致したシンボルと基準を確認する\n\nすべての機能には、エラー処理、詳細な市場データ、包括的な対応が含まれます。\n\n## 要件\n\n* Python 3.12以上\n* MCPサーバー\n* yファイナンス\n* パンダ\n* ナンピー\n* 非同期\n\n## 制限事項\n\n* データはYahoo Financeから取得しており、遅延の可能性があります\n* Yahoo Finance API 制限に基づくレート制限\n* オプションデータの利用可能時間は市場時間によって異なります\n* 一部の財務指標は遅延または利用できない場合があります\n\n## 貢献\n\n貢献を歓迎します！お気軽にプルリクエストを送信してください。\n\n## ライセンス\n\nこのプロジェクトは MIT ライセンスに基づいてライセンスされています - 詳細については[LICENSE](LICENSE)ファイルを参照してください。\n\n## 著者\n\nトッド・ウルブン - ( )\n\n## 謝辞\n\n* Anthropicのモデルコンテキストプロトコル（MCP）を使用して構築\n* データは[Yahoo Finance](https://finance.yahoo.com/)より提供\n* アントロピックのクロードとの使用のために開発されました","Japanese","ja-JP",{"_29":55,"_33":59,"_38":60},{"_31":56,"_33":57,"_35":58},"Yahoo Finance를 통해 포괄적인 주식 스크리닝 기능을 제공합니다. LLM은 기술적, 펀더멘털 및 옵션 기준에 따라 주식을 스크리닝할 수 있으며, 관심 종목 관리 및 결과 저장 기능도 지원합니다.","StockScreen MCP 서버","# StockScreen MCP 서버\n\nYahoo Finance를 통해 포괄적인 주식 스크리닝 기능을 제공하는 모델 컨텍스트 프로토콜(MCP) 서버입니다. LLM이 기술적, 펀더멘털 및 옵션 기준에 따라 주식을 스크리닝할 수 있도록 지원하며, 관심 종목 관리 및 결과 저장 기능을 지원합니다.\n\n## 특징\n\n### 주식 스크리닝\n\n* 기술 분석 스크리닝\n\n * 가격 및 볼륨 필터\n * 이동 평균(20, 50, 200 SMA)\n * RSI 지표\n * 평균 참 범위(ATR)\n * 추세 분석(1일, 5일, 20일 변화)\n * MA 거리 계산\n\n* 기본 검진\n\n * 시가총액 필터\n * P/E 비율 분석\n * 배당수익률 기준\n * 매출 성장 지표\n * ETF별 지표(AUM, 비용 비율)\n\n* 옵션 스크리닝\n\n * 암묵적 변동성(IV) 필터\n * 옵션 거래량 및 미결제약정\n * 풋/콜 비율 분석\n * 매수-매도 스프레드 평가\n * 수입일 근접성 확인\n\n### 데이터 관리\n\n* 관심 목록 생성 및 관리\n* 스크리닝 결과 저장\n* 기본 기호 범주\n * 메가캡(2000억 달러 이상)\n * 대형주($100억~$2000억)\n * 중형주(20억~100억 달러)\n * 소형주(3억~20억 달러)\n * 마이크로 캡(<$300M)\n * ETF\n\n## 설치\n\n지엑스피1\n\n## 용법\n\n1. Claude 구성에 다음을 추가합니다. `claude-desktop-config.json` 에서 `mcpServers` 섹션에 다음을 추가합니다.\n\n```json\n{\n \"mcpServers\": {\n \"stockscreen\": {\n \"command\": \"python\",\n \"args\": [\"path/to/stockscreen.py\"]\n }\n }\n}\n```\n\n\"path/to/stockscreen.py\"를 stockscreen.py 파일을 저장한 전체 경로로 바꾸세요.\n\n## 사용 가능한 도구\n\n## 사용 가능한 도구\n\n1. `run_stock_screen`\n\n### 기술 검사 기준\n\n```python\n{\n \"screen_type\": \"technical\",\n \"criteria\": {\n \"min_price\": float, # Minimum stock price\n \"max_price\": float, # Maximum stock price\n \"min_volume\": int, # Minimum average volume\n \"above_sma_200\": bool, # Price above 200-day SMA\n \"above_sma_50\": bool, # Price above 50-day SMA\n \"min_rsi\": float, # Minimum RSI value\n \"max_rsi\": float, # Maximum RSI value\n \"max_atr_pct\": float, # Maximum ATR as percentage of price\n \"category\": str # Optional: market cap category filter\n },\n \"watchlist\": str, # Optional: name of watchlist to screen\n \"save_result\": str # Optional: name to save results\n}\n```\n\n### 기본 스크린 기준\n\n```python\n{\n \"screen_type\": \"fundamental\",\n \"criteria\": {\n \"min_market_cap\": float, # Minimum market capitalization\n \"min_pe\": float, # Minimum P/E ratio\n \"max_pe\": float, # Maximum P/E ratio\n \"min_dividend\": float, # Minimum dividend yield (%)\n \"min_revenue_growth\": float, # Minimum revenue growth rate\n \"category\": str, # Optional: market cap category filter\n \n # ETF-specific criteria\n \"min_aum\": float, # Minimum assets under management\n \"max_expense_ratio\": float, # Maximum expense ratio\n \"min_volume\": float # Minimum trading volume\n },\n \"watchlist\": str, # Optional: name of watchlist to screen\n \"save_result\": str # Optional: name to save results\n}\n```\n\n### 옵션 화면 기준\n\n```python\n{\n \"screen_type\": \"options\",\n \"criteria\": {\n \"min_iv\": float, # Minimum implied volatility (%)\n \"max_iv\": float, # Maximum implied volatility (%)\n \"min_option_volume\": int, # Minimum options volume\n \"min_put_call_ratio\": float, # Minimum put/call ratio\n \"max_spread\": float, # Maximum bid-ask spread (%)\n \"min_days_to_earnings\": int, # Minimum days until earnings\n \"max_days_to_earnings\": int, # Maximum days until earnings\n \"category\": str # Optional: market cap category filter\n },\n \"watchlist\": str, # Optional: name of watchlist to screen\n \"save_result\": str # Optional: name to save results\n}\n```\n\n### 뉴스 화면 기준\n\n```python\n{\n \"screen_type\": \"news\",\n \"criteria\": {\n \"keywords\": List[str], # Keywords to search for in news\n \"exclude_keywords\": List[str], # Keywords to exclude from results\n \"min_days\": int, # Minimum days back to search\n \"max_days\": int, # Maximum days back to search\n \"management_changes\": bool, # Filter for management changes\n \"require_all_keywords\": bool, # Require all keywords to match\n \"category\": str # Optional: market cap category filter\n },\n \"watchlist\": str, # Optional: name of watchlist to screen\n \"save_result\": str # Optional: name to save results\n}\n\n```\n\n### 사용자 정의 화면 기준\n\n```python\n{\n \"screen_type\": \"custom\",\n \"criteria\": {\n \"category\": str, # Optional: market cap category filter\n \"technical\": {\n # Any technical criteria from above\n },\n \"fundamental\": {\n # Any fundamental criteria from above\n },\n \"options\": {\n # Any options criteria from above\n },\n \"news\": {\n # Any news criteria from above\n }\n },\n \"watchlist\": str, # Optional: name of watchlist to screen\n \"save_result\": str # Optional: name to save results\n}\n```\n\n### 카테고리 값\n\n필터링 가능한 시가총액 범주:\n\n* \"mega\\_cap\": 2000억 달러 이상\n* \"대형\\_주식\": 100억~2000억 달러\n* \"중형주\": 20억~100억 달러\n* \"소형주\": 3억~20억 달러\n* \"마이크로캡\": <$300M\n* \"etf\": ETF 상품\n\n2. `manage_watchlist`\n\n```python\n{\n \"action\": str, # Required: \"create\", \"update\", \"delete\", \"get\"\n \"name\": str, # Required: watchlist name (1-50 chars, alphanumeric with _ -)\n \"symbols\": List[str] # Required for create/update: list of stock symbols\n}\n```\n\n3. `get_screening_result`\n\n```python\n{\n \"name\": str # Required: name of saved screening result\n}\n```\n\n## 응답 형식\n\n### 기술 화면 응답\n\n```python\n{\n \"screen_type\": \"technical\",\n \"criteria\": dict, # Original criteria used\n \"matches\": int, # Number of matching stocks\n \"results\": [ # List of matching stocks\n {\n \"symbol\": str,\n \"price\": float,\n \"volume\": float,\n \"rsi\": float,\n \"sma_20\": float,\n \"sma_50\": float,\n \"sma_200\": float,\n \"atr\": float,\n \"atr_pct\": float,\n \"price_changes\": {\n \"1d\": float, # 1-day price change %\n \"5d\": float, # 5-day price change %\n \"20d\": float # 20-day price change %\n },\n \"ma_distances\": {\n \"pct_from_20sma\": float,\n \"pct_from_50sma\": float,\n \"pct_from_200sma\": float\n }\n }\n ],\n \"rejected\": [ # List of stocks that didn't match\n {\n \"symbol\": str,\n \"rejection_reasons\": List[str]\n }\n ],\n \"timestamp\": str\n}\n```\n\n## Claude에 대한 사용 프롬프트\n\n\"주식 스크리닝 기능을 제공하는 주식 스크리닝 도구를 활성화했습니다. 세 가지 주요 기능을 사용할 수 있습니다.\n\n1. 다양한 기준 유형으로 재고를 스크린합니다.\n\n * 기술: 가격, 거래량, RSI, 이동 평균선, ATR\n * 기본: 시가총액, P/E, 배당금, 성장\n * 옵션: IV, 거래량, 수익일\n * 사용자 정의: 여러 기준 유형을 결합합니다.\n\n2. 관심 목록 관리:\n\n * 심볼 목록 생성 및 업데이트\n * 기존 관심 목록 삭제\n * 관심목록 내용 검색\n\n3. 저장된 검사 결과에 액세스하세요.\n\n * 이전 화면 결과 로드\n * 일치하는 기호 및 기준 검토\n\n모든 기능에는 오류 처리, 세부적인 시장 데이터, 포괄적인 대응이 포함됩니다.\"\n\n## 요구 사항\n\n* 파이썬 3.12+\n* MCP 서버\n* 와이파이낸스\n* 팬더\n* 넘파이\n* 비동기\n\n## 제한 사항\n\n* Yahoo Finance에서 얻은 데이터로 지연 가능성이 있음\n* Yahoo Finance API 제한에 따른 요금 제한\n* 옵션 데이터 가용성은 시장 시간에 따라 달라집니다.\n* 일부 재무 지표가 지연되거나 사용할 수 없을 수 있습니다.\n\n## 기여하다\n\n기여를 환영합니다! 풀 리퀘스트를 제출해 주세요.\n\n## 특허\n\n이 프로젝트는 MIT 라이선스에 따라 라이선스가 부여되었습니다. 자세한 내용은 [라이선스](LICENSE) 파일을 참조하세요.\n\n## 작가\n\n토드 울븐 - ( [https://github.com/tolven](https://github.com/twolven) )\n\n## 감사의 말\n\n* Anthropic의 MCP(Model Context Protocol)로 구축됨\n* [Yahoo Finance](https://finance.yahoo.com/) 에서 제공하는 데이터\n* Anthropic의 Claude와 함께 사용하도록 개발됨","Korean","ko-KR",{"_29":62,"_33":66,"_38":67},{"_31":63,"_33":64,"_35":65},"通过雅虎财经提供全面的股票筛选功能。帮助法学硕士 (LLM) 根据技术面、基本面和期权标准筛选股票，并支持关注列表管理和结果存储。","StockScreen MCP 服务器","# StockScreen MCP 服务器\n\n模型上下文协议 (MCP) 服务器通过雅虎财经提供全面的股票筛选功能。它使 LLM 能够根据技术、基本面和期权标准筛选股票，并支持关注列表管理和结果存储。\n\n## 特征\n\n### 股票筛选\n\n* 技术分析筛选\n\n * 价格和数量过滤器\n * 移动平均线（20、50、200 SMA）\n * RSI 指标\n * 平均真实波动幅度 (ATR)\n * 趋势分析（1天、5天、20天变化）\n * MA 距离计算\n\n* 基础筛查\n\n * 市值过滤器\n * 市盈率分析\n * 股息收益率标准\n * 收入增长指标\n * ETF 特定指标（资产管理规模、费用率）\n\n* 选项筛选\n\n * 隐含波动率（IV）过滤器\n * 期权交易量和未平仓合约\n * 看跌/看涨比率分析\n * 买卖价差评估\n * 收益日期临近检查\n\n### 数据管理\n\n* 监视列表创建和管理\n* 筛选结果存储\n* 默认符号类别\n * 超大市值（>2000亿美元）\n * 大盘股（100亿美元-2000亿美元）\n * 中型股（20亿美元-100亿美元）\n * 小型股（3亿至20亿美元）\n * 微型股（<3亿美元）\n * ETF\n\n## 安装\n\n```bash\n# Install dependencies\npip install -r requirements.txt\n\n# Clone the repository\ngit clone https://github.com/twolven/mcp-stockscreen.git\ncd mcp-stockscreen\n```\n\n## 用法\n\n1. 添加到您的 Claude 配置：在您的`claude-desktop-config.json`中，将以下内容添加到`mcpServers`部分：\n\n```json\n{\n \"mcpServers\": {\n \"stockscreen\": {\n \"command\": \"python\",\n \"args\": [\"path/to/stockscreen.py\"]\n }\n }\n}\n```\n\n将“path/to/stockscreen.py”替换为保存 stockscreen.py 文件的完整路径。\n\n## 可用工具\n\n## 可用工具\n\n1. `run_stock_screen`\n\n### 技术筛选标准\n\n```python\n{\n \"screen_type\": \"technical\",\n \"criteria\": {\n \"min_price\": float, # Minimum stock price\n \"max_price\": float, # Maximum stock price\n \"min_volume\": int, # Minimum average volume\n \"above_sma_200\": bool, # Price above 200-day SMA\n \"above_sma_50\": bool, # Price above 50-day SMA\n \"min_rsi\": float, # Minimum RSI value\n \"max_rsi\": float, # Maximum RSI value\n \"max_atr_pct\": float, # Maximum ATR as percentage of price\n \"category\": str # Optional: market cap category filter\n },\n \"watchlist\": str, # Optional: name of watchlist to screen\n \"save_result\": str # Optional: name to save results\n}\n```\n\n### 基本筛选标准\n\n```python\n{\n \"screen_type\": \"fundamental\",\n \"criteria\": {\n \"min_market_cap\": float, # Minimum market capitalization\n \"min_pe\": float, # Minimum P/E ratio\n \"max_pe\": float, # Maximum P/E ratio\n \"min_dividend\": float, # Minimum dividend yield (%)\n \"min_revenue_growth\": float, # Minimum revenue growth rate\n \"category\": str, # Optional: market cap category filter\n \n # ETF-specific criteria\n \"min_aum\": float, # Minimum assets under management\n \"max_expense_ratio\": float, # Maximum expense ratio\n \"min_volume\": float # Minimum trading volume\n },\n \"watchlist\": str, # Optional: name of watchlist to screen\n \"save_result\": str # Optional: name to save results\n}\n```\n\n### 选项筛选标准\n\n```python\n{\n \"screen_type\": \"options\",\n \"criteria\": {\n \"min_iv\": float, # Minimum implied volatility (%)\n \"max_iv\": float, # Maximum implied volatility (%)\n \"min_option_volume\": int, # Minimum options volume\n \"min_put_call_ratio\": float, # Minimum put/call ratio\n \"max_spread\": float, # Maximum bid-ask spread (%)\n \"min_days_to_earnings\": int, # Minimum days until earnings\n \"max_days_to_earnings\": int, # Maximum days until earnings\n \"category\": str # Optional: market cap category filter\n },\n \"watchlist\": str, # Optional: name of watchlist to screen\n \"save_result\": str # Optional: name to save results\n}\n```\n\n### 新闻筛选标准\n\n```python\n{\n \"screen_type\": \"news\",\n \"criteria\": {\n \"keywords\": List[str], # Keywords to search for in news\n \"exclude_keywords\": List[str], # Keywords to exclude from results\n \"min_days\": int, # Minimum days back to search\n \"max_days\": int, # Maximum days back to search\n \"management_changes\": bool, # Filter for management changes\n \"require_all_keywords\": bool, # Require all keywords to match\n \"category\": str # Optional: market cap category filter\n },\n \"watchlist\": str, # Optional: name of watchlist to screen\n \"save_result\": str # Optional: name to save results\n}\n\n```\n\n### 自定义筛选标准\n\n```python\n{\n \"screen_type\": \"custom\",\n \"criteria\": {\n \"category\": str, # Optional: market cap category filter\n \"technical\": {\n # Any technical criteria from above\n },\n \"fundamental\": {\n # Any fundamental criteria from above\n },\n \"options\": {\n # Any options criteria from above\n },\n \"news\": {\n # Any news criteria from above\n }\n },\n \"watchlist\": str, # Optional: name of watchlist to screen\n \"save_result\": str # Optional: name to save results\n}\n```\n\n### 类别值\n\n可供筛选的市值类别：\n\n* “mega\\_cap”：>2000亿美元\n* “large\\_cap”：100亿美元-2000亿美元\n* “中盘股”：20亿美元至100亿美元\n* “small\\_cap”：3亿至20亿美元\n* “micro\\_cap”：<3亿美元\n* “etf”：ETF 工具\n\n2. `manage_watchlist`\n\n```python\n{\n \"action\": str, # Required: \"create\", \"update\", \"delete\", \"get\"\n \"name\": str, # Required: watchlist name (1-50 chars, alphanumeric with _ -)\n \"symbols\": List[str] # Required for create/update: list of stock symbols\n}\n```\n\n3. `get_screening_result`\n\n```python\n{\n \"name\": str # Required: name of saved screening result\n}\n```\n\n## 响应格式\n\n### 技术屏幕响应\n\n```python\n{\n \"screen_type\": \"technical\",\n \"criteria\": dict, # Original criteria used\n \"matches\": int, # Number of matching stocks\n \"results\": [ # List of matching stocks\n {\n \"symbol\": str,\n \"price\": float,\n \"volume\": float,\n \"rsi\": float,\n \"sma_20\": float,\n \"sma_50\": float,\n \"sma_200\": float,\n \"atr\": float,\n \"atr_pct\": float,\n \"price_changes\": {\n \"1d\": float, # 1-day price change %\n \"5d\": float, # 5-day price change %\n \"20d\": float # 20-day price change %\n },\n \"ma_distances\": {\n \"pct_from_20sma\": float,\n \"pct_from_50sma\": float,\n \"pct_from_200sma\": float\n }\n }\n ],\n \"rejected\": [ # List of stocks that didn't match\n {\n \"symbol\": str,\n \"rejection_reasons\": List[str]\n }\n ],\n \"timestamp\": str\n}\n```\n\n## 克劳德的使用提示\n\n我已启用提供股票筛选功能的 stockscreen 工具。您可以使用以下三个主要功能：\n\n1. 使用多种标准类型筛选股票：\n\n * 技术面：价格、成交量、RSI、移动平均线、ATR\n * 基本面：市值、市盈率、股息、增长\n * 选项：IV、交易量、收益日期\n * 自定义：组合多种条件类型\n\n2. 管理关注列表：\n\n * 创建和更新符号列表\n * 删除现有的关注列表\n * 检索监视列表内容\n\n3. 访问已保存的筛选结果：\n\n * 加载上一屏结果\n * 审查匹配的符号和标准\n\n所有功能包括错误处理、详细的市场数据和全面的响应。”\n\n## 要求\n\n* Python 3.12+\n* MCP 服务器\n* yfinance\n* 熊猫\n* numpy\n* 异步\n\n## 限制\n\n* 数据来源于雅虎财经，可能会有延迟\n* 基于 Yahoo Finance API 限制的速率限制\n* 期权数据的可用性取决于市场时间\n* 某些财务指标可能会延迟或不可用\n\n## 贡献\n\n欢迎贡献代码！欢迎提交 Pull 请求。\n\n## 执照\n\n该项目根据 MIT 许可证获得许可 - 有关详细信息，请参阅[LICENSE](LICENSE)文件。\n\n## 作者\n\n托德·沃尔文 - ( [https://github.com/tolven](https://github.com/twolven) )\n\n## 致谢\n\n* 使用 Anthropic 的模型上下文协议 (MCP) 构建\n* 数据由[雅虎财经](https://finance.yahoo.com/)提供\n* 专为与 Anthropic 的 Claude 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