Stock Price Prediction Using LSTM

This repository contains a Python script that uses a Long Short-Term Memory (LSTM) neural network to predict stock prices. The model is trained on historical stock data fetched from alpha vantage API .

Features

• Fetches stock data from Alpha Vantage API.
• Preprocesses the stock data using MinMax scaling.
• Builds and trains an LSTM model to predict future stock prices.
• Visualizes the actual vs predicted stock prices.
• Displays the actual and predicted prices for each date.

Requirements

To run the script, you will need the following Python packages:

• numpy
• pandas
• pip install alpha-vantage
• matplotlib
• scikit-learn
• tensorflow

You can install the required packages by running:

pip install numpy pandas alpha-vantage matplotlib scikit-learn tensorflow