A Python-based pipeline for collecting Indian stock market news, mapping articles to NSE tickers, and performing FinBERT-based sentiment analysis with stock-wise trend visualization.

AI-powered Indian stock market analysis and prediction tool using LSTM for price forecasting and FinBERT for news sentiment, featuring real-time data, fundamental analysis, and interactive dashboards.

A stock market analysis tool that aggregates data from Reddit and Google News to identify investment opportunities. Features risk-level based analysis, support for Indian/global markets, and sentiment analysis from multiple sources. Built with TypeScript and Node.js.

MarketPulse RT is a real-time AI-powered dashboard for Indian & US markets. It combines live stock prices, financial news, sentiment analysis, and RAG-based LLM Q&A into one Streamlit app. Track tickers, analyze events, and query market insights interactively.

IndiaQuant is an MCP (Model Context Protocol) server for Claude Desktop that bridges AI with the Indian stock market (NSE/BSE). Powered by Python, it natively gives Claude 10 financial tools including live stock prices, options chain analysis, Black-Scholes Greeks calculation, news sentiment AI scoring, and virtual portfolio management.

AI-powered Indian Stock Analysis Tool with News Sentiment and Risk Prediction

Hybrid Model for the Stock Price Prediction using Sentiment Analysis of Indian News

AI-powered Indian stock analysis app that generates stock recommendations using technical indicators, news sentiment, and price action analysis.

SharesApp - Indian Stock Research & Analysis Platform built using React, Node.js, and Tailwind CSS. Provides stock insights, news, sentiment analysis, and buy/hold recommendations.

An intelligent Telegram bot that provides live Indian stock analysis, AI-powered summaries, news sentiment insights, and chat features.

A full-stack application for Indian stock market tracking, portfolio management, sentiment-driven news analysis, and ML-powered price predictions.

This is a Indian stock market prediction project using the sentiment Analysis of of top 25 International News Headlines. This project indicates the effect of international events on the indian stock market.

Sentiment analysis of financial news related to the Indian stock market, compared with Nifty 50 market returns to explore the correlation between public sentiment and market performance.

FastAPI project that fetches recent news for a given Indian stock symbol, performs sentiment analysis using VADER, caches the result in SQLite, and returns a sentiment summary via API.

AI-powered Indian stock market analysis and prediction tool using LSTM for price forecasting and FinBERT for news sentiment, featuring real-time data, fundamental analysis, and interactive dashboards.

An end-to-end Machine Learning pipeline that predicts daily Indian stock movements (NSE) by combining historical price data with NLP-driven financial news sentiment analysis.

An interactive Streamlit dashboard for Indian stock analysis, combining technical indicators, news sentiment, and Gemini AI-powered insights. Includes advanced charts, financial metrics, and a chatbot assistant.

Real-time stock sentiment tracker that monitors 10 stocks (Indian & US) by combining live price data from yfinance with news headlines scored using VADER sentiment analysis, stored in PostgreSQL and visualized through Tableau and Streamlit.

🤖 AI-powered stock research platform with comprehensive financial analysis, news sentiment, and intelligent evaluation. Get professional-grade research reports in seconds using Gemini AI, yfinance, and multi-source news aggregation. Supports US & Indian markets.

A powerful Streamlit web app for analyzing Indian stock market data with real-time price tracking, candlestick charts, sentiment analysis, and financial news aggregation — built using yfinance, TextBlob, Plotly, and BeautifulSoup.

AI trading agent skill for Claude. Analyzes stocks, news, sentiment, fundamentals & technicals. 18 modules: deep stock analysis, market pulse, portfolio audit, position sizing, trade setups & more. Indian market support included (NSE/BSE).

SmartStock AI is a production-grade, AI-powered Indian stock analysis platform built using Spring Boot microservices and local LLMs. It provides fundamental analysis, technical analysis, news sentiment intelligence, and AI-driven recommendations using 100% free and open-source resources.

SmartStock is an AI-based stock market analysis app built using Java, Kotlin, and MySQL. It helps beginners analyze Indian and global stocks using graphs, news sentiment, and risk prediction without real investment.

This repository contains a Django-based web application for Indian stock price movement prediction using historical market data and financial news sentiment analysis. It is designed for students, data science enthusiasts, and beginner developers interested in applying machine learning to the Indian equities market (NSE/BSE).

A collection of standalone Python scripts for stock market analysis, portfolio tracking, technical charting, news sentiment, and fundamental screening. Includes tools for both US and Indian stocks, with advanced analytics like CAGR, XIRR, and future value projections.

TRADESCOPEPRO is a powerful web-based stock market dashboard designed for Indian markets. It offers real-time stock price updates, advanced interactive charting, forex/global instruments, live market heatmaps, and AI-based sentiment analysis of financial news — delivering a professional trading-terminal experience using pure frontend technologies.

This project is an end-to-end system for predicting stock price movements by combining technical analysis with live sentiment data from news. It uses a deep learning model to forecast trends for major Indian stocks, providing actionable insights for investors.

StockiNews is a robust, full-stack web application that leverages Vite + React for a high-performance frontend and Flask for a scalable backend. The platform is tailored for Indian stock market enthusiasts, offering a comprehensive suite of tools for portfolio management, real-time stock monitoring, sentiment analysis, and curated news aggregation.

A portfolio project using XGBoost-based modeling and sentiment analysis to detect high-risk market setups 15–30 days before they unfold. Built with Python, Power BI, and real-time news scraping to visualize stock-specific alerts for major US and Indian companies.

FinSight is an AI-powered financial assistant that combines real-time stock analysis, news sentiment tracking, and portfolio management with an interactive chat interface. Built with React/FastAPI, it uses multiple AI models (Gemini, Groq, OpenAI) to provide intelligent market insights and recommendations for both Indian and US markets.