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LSTM based RNN(Recurrent Neural Network) model to predict stock price w/ dataset extractor for nepali company stock prices

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Nepal Stock Price Predictor

LSTM(Long Short Term Memory) based RNN(Recurrent Neural Network) model to predict stock price with dataset extractor for nepali stock prices.

It is impossible to accurately predict stock prices. This model gives predictions based upon the previous trend and may serve as a tool for you to make educated decision, to some degree better than random choice.Therefore, Do not base your decision entirely from the prediction made by this model.

Overview

  • spp.py contains necessary helper functions.
  • see ipython demo file, demo.ipynb for the demo
  • dataExtractor.py extracts required share price data of a company from sharesansar.com neccessary to train the model

Dependencies:

  • Keras
  • Tensorflow
  • Scikit-learn
  • Numpy

Goodluck and get rich...................

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LSTM based RNN(Recurrent Neural Network) model to predict stock price w/ dataset extractor for nepali company stock prices

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