https://github.com/ersinaksar/apple-stock-market-prediction-using-lstm

APPLE Stock Market Prediction Using LSTM and deep stacked multi LSTM layers
https://github.com/ersinaksar/apple-stock-market-prediction-using-lstm

apple deep-learning investment lstm market-analysis market-data prediction prediction-model stock

Last synced: about 1 month ago
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APPLE Stock Market Prediction Using LSTM and deep stacked multi LSTM layers

• Host: GitHub
• URL: https://github.com/ersinaksar/apple-stock-market-prediction-using-lstm
• Owner: ersinaksar
• License: gpl-3.0
• Created: 2021-07-04T19:06:26.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2023-02-27T14:49:51.000Z (almost 2 years ago)
• Last Synced: 2023-11-28T20:36:10.103Z (about 1 year ago)
• Topics: apple, deep-learning, investment, lstm, market-analysis, market-data, prediction, prediction-model, stock
• Language: Jupyter Notebook
• Homepage:
• Size: 129 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
Apple Stock Market Prediction Using Python and Deep Neural Networks LSTM


I gathered stock market data from Apple from the very beginning and predicted the possible results for the next week with deep learning techniques. RMSE values turned out to be quite small which is unusual given how volatile stock markets are. Apple's stock data was obtained as data until 2021 and developed using the Python programming language a multi- layered deep learning model with LSTM structure based on old data. The algorithm has successfully predicted the stock market closing prices of the coming days with very small margins of error.


  

  

💻 Built with


Technologies used in the project:

*   Python

*   LSTM (Long Short Term Memory)

*   TensorFlow

*   Keras

*   Pandas

*   Numpy

*   Deep Learning

*   Kaggle

*   Prediction

*   Anaconda

*   Jupyter Notebook