/stock-prediction

Predicting different stock prices using Long Short-Term Memory Recurrent Neural Network in Python using TensorFlow 2 and Keras.

Primary LanguageJupyter Notebook

Stock Price Predictor

This algorithm predicts different stock prices using Long Short-Term Memory Recurrent Neural Network in Python using TensorFlow 2 and Keras.

To run this:

  • pip3 install -r requirements.txt
  • Edit parameters.py for your needs and run train.py. This will start training using the parameters you specified, you can use tensorboard on logs folder to visualize your training process.
  • Once you trained your model, use test.py to evaluate and test your model.

DISCLAIMER: This is not investing advice. I am not a professional who is qualified in giving any financial advice. This is a Python program purely about programming using financial data.