7   Artículos

 
en línea
Christos Bormpotsis, Mohamed Sedky and Asma Patel    
In the realm of foreign exchange (Forex) market predictions, Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) have been commonly employed. However, these models often exhibit instability due to vulnerability to data perturbations... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Zexin Hu, Yiqi Zhao and Matloob Khushi    
Predictions of stock and foreign exchange (Forex) have always been a hot and profitable area of study. Deep learning applications have been proven to yield better accuracy and return in the field of financial prediction and forecasting. In this survey, w... ver más
Revista: Applied System Innovation    Formato: Electrónico

 
en línea
Md. Saiful Islam, Emam Hossain, Abdur Rahman, Mohammad Shahadat Hossain and Karl Andersson    
In recent years, the foreign exchange (FOREX) market has attracted quite a lot of scrutiny from researchers all over the world. Due to its vulnerable characteristics, different types of research have been conducted to accomplish the task of predicting fu... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Francesco Rundo    
High-frequency trading is a method of intervention on the financial markets that uses sophisticated software tools, and sometimes also hardware, with which to implement high-frequency negotiations, guided by mathematical algorithms, that act on markets f... ver más
Revista: Applied Sciences    Formato: Electrónico

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