🇮🇳 MCP server for real-time NSE/BSE Indian stock market data — live quotes, fundamentals, financials, peer comparison & dividends. Built for AI-powered equity research. No API key required.

A dynamic equity valuation tool utilizing Python (yfinance/Pandas) for automated financial modeling, featuring a Three-Stage DCF with linear growth fading and interactive Power BI visualizations.

Time-series stock forecasting project using Linear Regression, feature engineering and proper chronological train-test splitting to predict next-day closing prices.

Simple implementation of the Discounted Cash Flow Calculation using the Data from YFinance

Interactive AI agents for financial analysis and web research using Phidata, YFinance, and GPT-based models.

This project serves as the foundational pillar of the "Quantimental" strategy, providing an automated fundamental analysis framework for the "Big Four" tech leaders: Google, Meta, Nvidia, and Tesla. It is designed to work in synergy with Part 2: LSTM Autoencoder Anomaly Detection to identify the best timing to buy in the stock.

This project detects unusual movements in Tesla’s stock price using an unsupervised deep learning model that learns normal trading behavior and flags deviations during significant market events.