The online game industry is an emerging entertainment software industry. It is successful and fast growing. Prior studies have identified characteristics of this industry that are distinctive from traditional entertainment industries. Currently one of the most important business challenges this industry faces is securing investments for development or evaluation of development projects. An onli...

Improving out-of-sample forecasting is one of the main issues in financial research. Previous studies have achieved this objective by increasing the number of input variables or changing the kind of input variables. Changing the forecasting model is another possible approach to improve out-of-sample forecasting. Most researches have focused on linear models, while few have studied nonlinear mod...

Stock market forecasting has attracted so many researchers and investors that ‎many studies have been done in this field. These studies have led to the ‎development of many predictive methods, the most widely used of which are ‎machine learning-based methods. In machine learning-based methods, loss ‎function has a key role in determining the model weights. In this study a new loss ‎function is ...


 Forecasting can be used in many fields such as crypto currency prediction, financial entities, supermarkets etc. We get the time series date which we use to feed data into algorithm is given by Y finance with this refreshed every day. The stock market prediction or forecasting helps customers and brokers a brief view of how behaves for coming years. Many models are currently Like Regress...

This paper is a survey on the application of neural networks in forecasting stock market prices. With their ability to discover patterns in nonlinear and chaotic systems, neural networks offer the ability to predict market directions more accurately than current techniques. Common market analysis techniques such as technical analysis, fundamental analysis, and regression are discussed and compa...