Predicting the Effect of the Fear and Greed Index for Digital Assets and Stocks on the Trends of Apartment Sales by Artificial Neural Network

The psychology of stock buyers and sellers greatly affects stock prices, and fluctuating stock prices affect another asset, real estate prices. In addition, since the current cryptocurrency market is becoming huge, it is necessary to analyze the real estate market psychology with the psychological index of cryptocurrency. In this study, an artificial neural network model was implemented to predict the trend of apartment sales supply and demand in Korea based on the digital asset fear and greed index and the stock fear and greed index. The model is implemented in a form that minimizes the mean squared error by using a multi-layer neural network(Activation function: Swish).