RL-MCP

# 📊 Stock Market Intelligence API > 🚀 **Transform your applications with AI-powered stock market analysis and real-time financial intelligence** Welcome to RL-MCP's comprehensive stock market API! Our platform combines cutting-edge vector search, real-time market data, sentiment analysis, and intelligent caching to deliver unparalleled financial intelligence capabilities. 📈✨ ## 🌟 What Makes Our Stock API Special? ### 🧠 **AI-Powered Intelligence** - **🔍 Vector Search**: Semantic search across news, analysis, and market data - **📊 Sentiment Analysis**: Real-time sentiment scoring for news and market data - **🤖 Smart Analysis**: AI-driven stock analysis with confidence scoring - **🎯 Relevance Scoring**: Intelligent content ranking and filtering ### ⚡ **High-Performance Architecture** - **🚀 Intelligent Caching**: Multi-layer caching for lightning-fast responses - **📡 Real-time Data**: Live market data with minimal latency - **🔄 Background Processing**: Async data ingestion and processing - **📈 Scalable Design**: Built to handle high-volume trading applications ### 🛡️ **Enterprise-Ready** - **🔐 Secure Authentication**: Token-based API security - **📊 Performance Monitoring**: Built-in health checks and cache statistics - **🗄️ Robust Storage**: PostgreSQL with optimized indexing - **🐳 Container Ready**: Full Docker support for easy deployment ## 🎯 Core Capabilities ### 1. 🔍 **Vector Search & Semantic Analysis** ```bash POST /v1/stock/search ``` - **Semantic Search**: Find relevant content using natural language queries - **Multi-Source Search**: Search across news, analysis, and market data - **Smart Filtering**: Filter by symbols, dates, content types, and similarity thresholds - **Ranked Results**: AI-powered relevance and similarity scoring **Example Query**: *"What are analysts saying about Tesla's battery technology?"* ### 2. 💹 **Real-Time Market Data** ```bash GET /v1/stock/price/{symbol} ``` - **Live Pricing**: Current stock prices with change indicators - **Market Metrics**: Volume, market cap, P/E ratios, and more - **Historical Context**: Price changes and percentage movements - **Multi-Symbol Support**: Batch processing for portfolio analysis ### 3. 📰 **News Intelligence & Sentiment** ```bash GET /v1/stock/news ``` - **Real-Time News**: Latest financial news with sentiment analysis - **Smart Filtering**: Filter by symbols, sources, and relevance - **Sentiment Scoring**: AI-powered sentiment analysis (-1 to 1 scale) - **Source Diversity**: Aggregated from multiple trusted financial sources ### 4. 🧠 **AI-Powered Stock Analysis** ```bash GET /v1/stock/analysis/{symbol} ``` - **Comprehensive Analysis**: Technical, fundamental, and news-based insights - **Confidence Scoring**: AI confidence levels for each analysis - **Actionable Recommendations**: Buy/Hold/Sell recommendations with reasoning - **Risk Assessment**: Intelligent risk level categorization ### 5. 🌍 **Market Overview & Trends** ```bash GET /v1/stock/market/summary ``` - **Market Summary**: Daily market overview with key metrics - **Top Movers**: Gainers and losers with performance data - **Trending Analysis**: Most active and discussed stocks - **Sentiment Overview**: Overall market sentiment indicators ## 🚀 Quick Start Examples ### 🔍 **Semantic Search Example** ```python import requests # Search for Tesla battery technology insights search_query = { "query": "Tesla battery technology innovations", "symbols": ["TSLA"], "include_news": True, "include_analysis": True, "similarity_threshold": 0.8, "limit": 10 } response = requests.post( "http://localhost:8000/v1/stock/search", json=search_query, headers={"Authorization": "Bearer YOUR_TOKEN"} ) results = response.json() for result in results: print(f"📊 {result['content_type']}: {result['similarity_score']:.2f}") print(f"📝 {result['content'][:100]}...") ``` ### 💹 **Market Analysis Example** ```python # Get comprehensive market overview market_summary = requests.get( "http://localhost:8000/v1/stock/market/summary", headers={"Authorization": "Bearer YOUR_TOKEN"} ).json() print(f"📈 Market Sentiment: {market_summary['market_sentiment']:.2f}") print(f"🔥 Top Gainer: {market_summary['top_gainers'][0]['symbol']}") print(f"📉 Top Loser: {market_summary['top_losers'][0]['symbol']}") ``` ### 📰 **News Intelligence Example** ```python # Get latest news with sentiment for Apple news = requests.get( "http://localhost:8000/v1/stock/news?symbol=AAPL&limit=5", headers={"Authorization": "Bearer YOUR_TOKEN"} ).json() for article in news: sentiment = "🟢" if article['sentiment_score'] > 0 else "🔴" print(f"{sentiment} {article['title']}") print(f"📊 Sentiment: {article['sentiment_score']:.2f}") ``` ## 🎯 Use Cases & Applications ### 🤖 **AI Trading Assistants** - **Portfolio Analysis**: Semantic search across holdings for insights - **Risk Assessment**: AI-powered risk analysis and recommendations - **Market Intelligence**: Real-time sentiment and trend analysis - **Decision Support**: Data-driven buy/sell/hold recommendations ### 📊 **Financial Research Platforms** - **Research Automation**: Automated collection and analysis of market data - **Sentiment Tracking**: Track sentiment changes over time - **Competitive Analysis**: Compare companies and sectors - **Trend Identification**: Identify emerging market trends ### 📱 **Investment Apps & Tools** - **Smart Notifications**: Alert users to relevant market changes - **Personalized Insights**: Tailored analysis based on user portfolios - **Educational Content**: Explain market movements and trends - **Social Trading**: Share and discover investment insights ### 🏢 **Enterprise Financial Systems** - **Risk Management**: Real-time risk assessment and monitoring - **Compliance Monitoring**: Track regulatory and market changes - **Client Reporting**: Automated insight generation for clients - **Market Research**: Comprehensive market intelligence gathering ## 📈 Performance & Scalability ### ⚡ **Caching Strategy** - **Multi-Layer Caching**: Memory, database, and application-level caching - **Smart Invalidation**: Intelligent cache refresh based on data freshness - **Performance Monitoring**: Real-time cache hit rates and performance metrics - **Configurable TTL**: Customizable cache expiration policies ### 🔄 **Background Processing** - **Async Data Ingestion**: Non-blocking news and data collection - **Batch Processing**: Efficient handling of large data volumes - **Queue Management**: Intelligent task prioritization and scheduling - **Error Handling**: Robust error recovery and retry mechanisms ### 📊 **Monitoring & Analytics** ```bash GET /v1/stock/cache/stats # Cache performance metrics GET /v1/stock/health # System health and status ``` ## 🛠️ **Integration Guide** ### 🔑 **Authentication** All endpoints require Bearer token authentication: ```bash curl -H "Authorization: Bearer YOUR_TOKEN" \ http://localhost:8000/v1/stock/price/AAPL ``` ### 📝 **Response Formats** All responses follow consistent JSON schemas with: - **Standardized Fields**: Consistent naming and data types - **Rich Metadata**: Timestamps, confidence scores, and source information - **Error Handling**: Detailed error messages and status codes - **Pagination Support**: Efficient handling of large result sets ### 🔄 **Rate Limiting & Best Practices** - **Batch Requests**: Use batch endpoints for multiple symbols - **Caching**: Leverage built-in caching for frequently accessed data - **Filtering**: Use specific filters to reduce response sizes - **Background Tasks**: Use async endpoints for heavy operations ## 🎉 **What's Next?** Ready to dive deeper? Explore our detailed guides: - 🔍 **[Vector Search Guide](vector-search.md)** - Master semantic search capabilities - 📰 **[News & Analysis](news-analysis.md)** - Leverage market intelligence - 💹 **[Market Data](market-data.md)** - Real-time pricing and metrics - ⚡ **[Performance Guide](performance.md)** - Optimization strategies - 🔗 **[API Reference](api-reference.md)** - Complete endpoint documentation --- <div align="center"> **🚀 Ready to revolutionize your financial applications?** *Our stock market API combines the power of AI, real-time data, and intelligent caching to deliver unparalleled financial intelligence. Start building the future of fintech today!* 📈✨ </div>