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This project analyzes Apple Inc. (AAPL) stock prices using historical data from Yahoo Finance. It includes data visualization with candlestick charts and predictive modeling with an LSTM network.

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SURESHBEEKHANI/Apple-Stock-Price-Prediction-with-LSTM-using-Python

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Apple Stock Price Prediction

This repository contains a Python script that performs the following tasks:

  1. Data Retrieval: Downloads historical stock market data for Apple Inc. (AAPL) from Yahoo Finance.
  2. Data Processing: Prepares the data for analysis, including extracting relevant features and scaling.
  3. Visualization: Creates a candlestick chart to visualize Apple's stock price trends.
  4. Machine Learning: Trains a Long Short-Term Memory (LSTM) model to predict future stock prices based on historical data.

Requirements

Make sure you have the following Python packages installed:

  • pandas
  • yfinance
  • plotly
  • scikit-learn
  • keras
  • numpy

You can install them using pip:

pip install pandas yfinance plotly scikit-learn keras numpy

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This project analyzes Apple Inc. (AAPL) stock prices using historical data from Yahoo Finance. It includes data visualization with candlestick charts and predictive modeling with an LSTM network.

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