ahmadmaududiazmi / stock-prediction

Implementation LSTM algorithm for stock prediction in python. Use sklearn, keras, and tensorflow.

Stock Prediction using Long short-term memory (LSTM)

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/

Note

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)

Preview

S&P 500 stock prediction

Requirements

• Python 3.7

Requirements Library

• numpy -> $ pip install numpy

• pandas -> $ pip install pandas

• pandas_datareader -> $ pip install pandas-datareader

• sklearn -> $ pip install scikit-learn

• keras -> $ pip install Keras

• tensorflow -> $ pip install tensorflow

• matplotlib -> $ pip install matplotlib

File Structure

py files

• const.py -> Constant for all python project files

• menu.py -> Handle terminal/command-line menu

• main.py -> Main program

CSV files

• AAPL.csv -> Apple stock data (if deleted, will grab from yahoo finance).

• DJI.csv -> Dow Jones Industrial Average stock data (if deleted, will grab from yahoo finance).

• HSI.csv -> Hang Seng Index stock data (if deleted, will grab from yahoo finance).

• GSPC.csv -> S&P 500 stock data (if deleted, will grab from yahoo finance).

How to Run

$ python3 main.py

Students

Informatic Engineering of State University of Surabaya (UNESA)

• Koko Himawan Permadi (19051204111)
• Malik Dwi Yoni Fordana (17051204024)
• Roy Belmiro Virgiant (17051204016)