Stock Market Prediction using Sequence Model

• 📚 Link to notebook

Requirements

If you are facing error while accessing YAHOO api , please do the following in your colab notebook :

!pip install --upgrade pandas-datareader

!pip install --upgrade pandas

and restart your run time , and it will solve that issue.

Intro

Schematically, a RNN layer uses a for loop to iterate over the timesteps of a sequence, while maintaining an internal state that encodes information about the timesteps it has seen so far.

Here is a simple example of a Sequential model that processes sequences of float data, embeds each float data into a (60,1)-dimensional vector, then processes the sequence of vectors using LSTM/GRU layers.

Input

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Results

• RMSE = 87.77460158447597

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References

• https://keras.io/api/layers/recurrent_layers/
• https://keras.io/examples/
• https://www.kaggle.com/faressayah/stock-market-analysis-prediction-using-lstm
• https://www.tensorflow.org/guide/keras/rnn

😉 Thanks