Implementation of LSTM to predict stock price.
The implementation use reference from this article, https://medium.com/@randerson112358/stock-price-prediction-using-python-machine-learning-e82a039ac2bb
The stock data from https://finance.yahoo.com/
This project using data from yahoo finance, and implemented to predict Close Price stock from :
- Apple (AAPL)
- Dow Jones Industrial Average (^DJI)
- Hang Seng Index (^HSI)
- S&P 500 (^GSPC)
- Python 3.7
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numpy -> $ pip install numpy
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pandas -> $ pip install pandas
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pandas_datareader -> $ pip install pandas-datareader
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sklearn -> $ pip install scikit-learn
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keras -> $ pip install Keras
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tensorflow -> $ pip install tensorflow
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matplotlib -> $ pip install matplotlib
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const.py -> Constant for all python project files
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menu.py -> Handle terminal/command-line menu
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main.py -> Main program
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AAPL.csv -> Apple stock data (if deleted, will grab from yahoo finance).
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DJI.csv -> Dow Jones Industrial Average stock data (if deleted, will grab from yahoo finance).
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HSI.csv -> Hang Seng Index stock data (if deleted, will grab from yahoo finance).
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GSPC.csv -> S&P 500 stock data (if deleted, will grab from yahoo finance).
$ python3 main.py
Informatic Engineering of State University of Surabaya (UNESA)
- Koko Himawan Permadi (19051204111)
- Malik Dwi Yoni Fordana (17051204024)
- Roy Belmiro Virgiant (17051204016)