A deep learning-based stock market prediction tool leveraging LSTM networks for time series forecasting and trend visualization.
About this project
Overview
PredictiveMA is a web-based application designed to forecast stock trends using LSTM (Long Short-Term Memory) neural networks. It demonstrates how historical stock data can be used for future price prediction through time series modeling.
Features
📈 Stock Price Prediction using LSTM models
📊 Interactive graphs via Chart.js
🌐 Lightweight Flask backend for deployment
🔍 View real-time and predicted data trends
📂 Built with modular and extensible code
Tech Stack
Python, Flask
LSTM (Long Short-Term Memory Networks)
yFinance API
Chart.js
HTML/CSS
Deep LearningLSTMStock PredictionTime SeriesPythonFinanceFlaskChart.js