sentimatix
Sentimatix: Indian Stock Market Intelligence Sentimatix is a high-fidelity financial intelligence API and MCP server designed specifically for the National…
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Что умеет
- Explain Price Change: Analyzes and explains the driving factors behind an NSE stock's price movement over a specific timeframe. It synthesizes recent financial news, entity-level sentiment scores, and
- Analyze Stock Enhanced: Generates a deep, AI-driven single-stock research report. Combines historical price data, moving averages, and news sentiment into a structured analysis to evaluate the overall
- Compare Stocks: Performs a side-by-side quantitative and qualitative comparison of two NSE stocks. Useful for pair trading analysis or sector peer evaluation based on price performance and media senti
Какие данные видит
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Не нужен: сервер работает без входа
Sentimatix: Indian Stock Market Intelligence
Sentimatix is a high-fidelity financial intelligence API and MCP server designed specifically for the National Stock Exchange of India (NSE). It provides AI agents, algorithmic traders, and quantitative developers with deep, structured insights into over 2,200 Indian equities.
What it does
By combining real-time financial news ingestion with advanced NLP sentiment analysis and historical market data, Sentimatix acts as an automated quantitative research assistant. It empowers LLMs and AI agents to make data-driven decisions regarding the Indian stock market without needing expensive institutional data terminals.
Key Capabilities
- Entity-Level Sentiment Analysis: Aggregates and scores sentiment from major Indian financial news sources (Moneycontrol, Economic Times, Mint).
- Deep Stock Research: Generates comprehensive single-stock and comparative research reports.
- Technical Analysis: Calculates RSI, MACD, Bollinger Bands, and moving averages on demand.
- RAG Evidence Search: Provides direct semantic search over a vast, continuously updated financial news corpus.
- Market Movers: Explains sudden price changes using a fusion of technical metrics and recent news sentiment.
Perfect For
- AI Trading Bots analyzing NSE stocks
- Portfolio Management assistants
- Retail investors seeking institutional-grade, automated research
Список инструментов сервера (10)
Технические названия из tools/list. Нужны только разработчикам.
| explain_price_change | Analyzes and explains the driving factors behind an NSE stock's price movement over a specific timeframe. It synthesizes recent financial news, entity-level sentiment scores, and technical indicators to provide a comprehensive narrative of market behavior. |
| analyze_stock_enhanced | Generates a deep, AI-driven single-stock research report. Combines historical price data, moving averages, and news sentiment into a structured analysis to evaluate the overall health and momentum of the equity. |
| compare_stocks | Performs a side-by-side quantitative and qualitative comparison of two NSE stocks. Useful for pair trading analysis or sector peer evaluation based on price performance and media sentiment. |
| get_stock_summary | Fetches fundamental price metrics and recent performance summaries for an NSE-listed stock. Returns the latest closing price, percentage change, daily high/low, and trading volume. |
| get_historical_prices | Retrieves the daily Open, High, Low, Close, and Volume (OHLCV) time-series data for an Indian equity. Essential for charting and custom technical analysis. |
| get_news_sentiment | Fetches recent financial news articles specifically mentioning the target Indian stock, complete with proprietary NLP sentiment scores (ranging from strongly negative to strongly positive) for each article. |
| get_sentiment_aggregate | Calculates the aggregated market mood and sentiment statistics for an NSE stock over a specified period. Useful for tracking sentiment shifts over time. |
| get_technical_analysis | Calculates and returns key technical indicators for an NSE stock, including Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), Bollinger Bands, and support/resistance levels. |
| calculate_correlation | Computes the Pearson correlation coefficient between the daily returns of two NSE stocks over a specific period to measure their statistical relationship. |
| get_rag_evidence | Performs a semantic search over the Sentimatix financial news corpus. Retrieves specific quotes and evidence related to a query for a particular NSE stock to ground AI responses in factual reporting. |