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LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

Python 13.57% Jupyter Notebook 86.43%

lstm-stock-predict's Introduction

LSTM Neural Network for Stock Market Prediction

Predicting stock market's price using LSTM.

Baseline for this code

GUI Demo of the neural network

TA-lib for feature extraction

Requirements

Install requirements.txt file to make sure correct versions of libraries are being used.

  • Python 3.5.x
  • TensorFlow 1.10.0
  • Numpy 1.15.0
  • Keras 2.2.2
  • Matplotlib 2.2.2

To run the GUI, install these dependencies first:

  • Python3
  • Python3-tk
  • TensorFlow
  • Pandas
  • Matplotlib
  • Keras

Output for improved stock market multi-sequence predictions:

Output for latest S&P 500 data

lstm-stock-predict's People

Contributors

jaungiers avatar joeychang0204 avatar

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