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StockSense is a stock tracking and analysis web app built using Node.js, Express, EJS, and real-time stock market APIs. It provides live stock data, charts, and insights through a clean, dynamic EJS interface.

Mercado Search Trends & Stock Analysis with Prophet

AI-powered tool that fetches and analyzes NVIDIA news using semantic search, sentiment analysis, and Gemini-based investment summaries.

This project aims to create a user-friendly stock analysis dashboard using Python and the Streamlit library. By leveraging the YFinance library, we fetch historical stock prices, calculate various technical indicators, and visualize trends in an interactive manner.

Investment Portfolio Builder is a Python library that provides portfolio optimization methods, including classical mean-variance optimization techniques, Black-Litterman allocation, and more recent developments like shrinkage and Hierarchical Risk Parity.

This project provides a powerful tool for stock market analysis and portfolio management, combining multiple forecasting models, technical analysis, and risk management features. Built with modern Python libraries and Streamlit for an intuitive user interface.

Config files for my GitHub profile.

Insider trading activity with buy/sell volumes for each quarter and Social Sentiment for your selected stock

💹 FinSage – Your AI-Powered Investment Portfolio Assistant 🤖📊 A modern, responsive 💻 fintech platform that offers 📈 real-time stock analytics, 🧠 personalized AI financial guidance, 💼 portfolio tracking, and 📚 financial literacy resources — built with ⚛️ React, 🟦 TypeScript, ⚡ Vite, 🎨 Tailwind CSS, and integrated with the 🔌 Finnhub API.

calculate stock target price using DCF model.