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google_stock_prediction_tensorflow_keras's Introduction

Google Stock Prediction

Simple mini project with goals of predicting Alphabet Inc stock (GOOG) using TensorFlow and Keras 1_eJWbxmatlWJCNuhJqXB_dw 1200px-Keras_logo svg

Background

Nowadays stock market are getting more popular in a young generation "Figures from the non-profit foundation AksjeNorge show that more young small investors have entered the stock market in the past year than ever before". This leads into a lot of people getting burned, Knüpfer notes that sharp stock market declines are a reality that happens at fairly regular intervals. This is when investors really lose money.

Objective

  • Construct a model that can predict stock market
  • Apply TensorFlow and Keras to process a model
  • Calculate loss using MAE

Modelling Parameter

  • RNN Layer : 3
  • Cell : LSTM
  • Unit : 256
  • Dropout : 50%
  • Bidirectional : False

Training Parameter

  • Loss : hubber_loss
  • Optimizer : adam
  • Batch size : 64
  • Epoch : 500
  • Ticker : GOOG

Summary

  • Predicted future price after 1 week is $2890
  • Model has accuracy of 57.7%
  • Profit per trade about $5 download (8)

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