Forecasting Stock Prices with Machine Learning and Real-time Data (KEY IJP************524)

• Bindhu Shree K B,Ambavarapu Manvith Reddy,Indukuri Manvitha Reddy,Kothacheruvu Sruthi

Abstract

This project, "Forecasting Stock Prices with Machine Learning and Real-Time Data using LSTM and LangChain," focuses on developing an intelligent system that blends machine learning, real-time data analysis, and AI-driven insights to predict stock prices and analyze financial trends. The core of the project employs Long Short-Term Memory (LSTM) networks, a type of recurrent neural network well-suited for handling time-series data. LSTM is used to forecast stock prices based on historical trends and patterns. This ensures accurate predictions by capturing both short-term fluctuations and long-term dependencies in stock data. To provide a comprehensive analysis, the project integrates Yahoo Finance for acquiring historical stock data, including price history, volume, and financial statements. The inclusion of financial data enhances the systems capability to assess a company's past performance and current valuation, which are critical for informed forecasting. The real-time aspect of the project is rea