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Introduction:

The market for AI in financial services is expected to grow from 1.3 billion in 2017 to 7.4 billion in 2022, at a CAGR of 40.4%, according to Research and Markets which means that this domain is very rich to obtain constructive results which can help in improving revenues in stocks sector by introducing automated models.

Data Collection and Modelling:

The dataset was collected using Quandl Rest API. The aim was to forecast AMAZON returns based on historical data using sequence based learning methods such as lSTM and GRU.

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Stock Market Forecasting using LSTM\GRU

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