# Stock-Price-Prediction

**Repository Path**: qq2524/Stock-Price-Prediction

## Basic Information

- **Project Name**: Stock-Price-Prediction
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2026-03-13
- **Last Updated**: 2026-03-13

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 📈 LSTM Stock Price Prediction

This project uses a **Long Short-Term Memory (LSTM) neural network** built with **PyTorch** to predict stock closing prices from historical data.

The model learns patterns from the previous **60 days of closing prices** to forecast the next day's price.

## Features
- Data preprocessing and normalization
- Time-series sequence generation
- LSTM-based deep learning model
- Model training and evaluation
- Visualization of actual vs predicted prices

## Tech Stack
- Python
- PyTorch
- Pandas
- NumPy
- Scikit-learn
- Matplotlib

## Installation

Clone the repository:

##bash
git clone https://github.com/yourusername/stock-price-lstm.git
cd stock-price-lstm
pip install -r requirements.txt
python stock_lstm.py
Output

The model generates a graph comparing actual stock prices and predicted prices.

Disclaimer

This project is for educational purposes only and should not be used for financial advice.