Using TensorFlow to solve the problems of financial forecasting for high-frequency trading

Christmas tree plantations on their land, and even provided them with subsidies and small trees for free from the state forest nurseries (Karameris, 1996). Thus, the cultivation of

Keywords: formal concept analysis, lattice generation, neural networks, dendrites, maximal rectangles..

However, these properties also limit the usability of state- of-the-art database systems to a number of applications that require a more open world of information.. This talk gives

Then, combining the empirical cross-correlation matrix with the Random Matrix Theory, we mainly examine the statistical properties of cross-correlation coefficients, the

In this paper we described our experience in creating and training a neural net- work for predicting the critical frequency foF2 using data obtained at Irkutsk with the DPS4

Consequently, the created trading algorithm is capable of allowing predictions to be made of the company's share price with a fairly high accuracy using the consolidated

4.3 General Approach for the Application of Artificial Neural Networks The linearity of the traditional mathematical models is the main disadvantage of the abovementioned

The article discusses the need to use social networks in the cognitive activities of participants in the criminal process, and suggests that it is possible to