/Nepalese-Stock-Price

Using Neural Network architecture (LSTM) to Analyse and Predict Stock Prices on 10 years of data.

Primary LanguageJupyter Notebook

LSTM Neural Network Architecture

Why LSTM (Long Short-Term Memory) Networks ? ?

Traditional RNN look back only one time-step. In order to overcome this we expand and add components to it. LSTM introduces the concept of a “Memory Cell”. This is important in our case because the previous price of a stock is crucial in predicting its future price.

Company: Nepal Telecom

Source: Kaggle

Duration: From year 2010 to 2020

End Result

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