The diploma thesis deals with currency market analysis. There are three main types of analysis: fundamental, technical and psychological analysis. Each of these methods contains explanation of logic, on which the method is based, its advantages, disadvantages and specific examples of this analysis. Neural networks are furher explained in technical analysis. The practical part of the diploma thesis builds on knowledge of technical analysis and tests functionality of the neural networks in the environment of currency markets. The model is calibrated first and then it is used to predict the development of major currency pairs. The prediction is carried out on a monthly chart for December 2013
The project titled "Currency Exchange Rate Prediction'' is the regression problem in Machine Learnin...
In this paper, a neural network based foreign exchange rates forecasting method is discussed. Neural...
This diploma thesis deals with the utilization of artificial intelligence methods for prediction at ...
Diplomová práce se zabývá problematikou analýzy měnového kurzu. V teoretické části jsou představeny ...
The only way to successful trading in the currency market is the ability to correctly predict change...
This diploma thesis deals with the exchange rate forecast using the method of artificial intelligenc...
The bachelor thesis deals with two methods of prediction of currency courses - the Power Price Parit...
This bachelor thesis deals with possibilities of prediction of future development of exchange rate. ...
Šajā bakalaura darbā ir aprakstīta dažāda veida neironu tīklu un apmācības metožu pielietojums un to...
Through time series analysis, it is possible to obtain significant statistics and other necessary da...
This thesis deals with a complex analysis and prediction of foreign exchange markets. It uses advanc...
This thesis work presents a comparative study of different methods for predicting future values of t...
This research examines and analyzes the use of neural networks as a forecasting tool. Specifically a...
Šī darba mērķis ir modelēt valūtas kursa svārstības ar mākslīgo neironu tīklu palīdzību. Maģistra da...
In this paper we present the results of neural network analysis of the effect of significant factors...
The project titled "Currency Exchange Rate Prediction'' is the regression problem in Machine Learnin...
In this paper, a neural network based foreign exchange rates forecasting method is discussed. Neural...
This diploma thesis deals with the utilization of artificial intelligence methods for prediction at ...
Diplomová práce se zabývá problematikou analýzy měnového kurzu. V teoretické části jsou představeny ...
The only way to successful trading in the currency market is the ability to correctly predict change...
This diploma thesis deals with the exchange rate forecast using the method of artificial intelligenc...
The bachelor thesis deals with two methods of prediction of currency courses - the Power Price Parit...
This bachelor thesis deals with possibilities of prediction of future development of exchange rate. ...
Šajā bakalaura darbā ir aprakstīta dažāda veida neironu tīklu un apmācības metožu pielietojums un to...
Through time series analysis, it is possible to obtain significant statistics and other necessary da...
This thesis deals with a complex analysis and prediction of foreign exchange markets. It uses advanc...
This thesis work presents a comparative study of different methods for predicting future values of t...
This research examines and analyzes the use of neural networks as a forecasting tool. Specifically a...
Šī darba mērķis ir modelēt valūtas kursa svārstības ar mākslīgo neironu tīklu palīdzību. Maģistra da...
In this paper we present the results of neural network analysis of the effect of significant factors...
The project titled "Currency Exchange Rate Prediction'' is the regression problem in Machine Learnin...
In this paper, a neural network based foreign exchange rates forecasting method is discussed. Neural...
This diploma thesis deals with the utilization of artificial intelligence methods for prediction at ...