Regression Analysis & LSTM Network to Predict Future Prices

Neural Network & Time-series price prediction using hourly data. We’ll build a Deep Neural Network here that does some forecasting for us and use it to predict future price. Let us load the hourly frequency data.

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Prediction of stock price is quite a challenging task because prices are highly volatile and mostly stochastic movement with non-linear nature. Here, the problem we have in hand is a price prediction issue and we’re trying to predict a numerical value defined in a range (from 9000 to 12500 approx). This problem fits the Regression Analysis framework. We shall be using neural network architecture to try to solve the problem here. Motivation of using neural network is that, it is one of the intelligent data mining techniques that identify a fundamental trend from data and to generalize from it.

We’ll build a Deep Neural Network here that does some forecasting for us and use it to predict future price. Let us load the hourly frequency data.

Data loading

We have a total of 2001 data points representing Bitcoin in USD . We’re interested in predicting the closing price for future dates.

timeseries-forecasting predictive-analytics neural-networks data-analysis

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