Add to ORKGAbstract- Recently, data mining and time series prediction in financial forecasting has received much research attention. Many techniques are used in prediction on stock and fund trend, volatility, etc. In this paper, two technique of neural network is compared, namely, Support Vector Machine (Support Vector Machine, SVM) and MLP for considerin
Generally, stock investors tend to implement different analysis tools on stock prediction, in order ...
There are many types of investments to make money, one of which is in the form of shares. Shares is ...
Our paper investigates the performance of two machine learning models, namely Support Ve...
Nowadays, people show more and more enthusiasm for applying machine learning methods to finance doma...
Abstract—Obtaining accurate prediction of stock index sig-nificantly helps decision maker to take co...
This research addresses the problem of predicting the trends of two stocks and two stock indexes fo...
Financial markets facilitate international trade, are indicative of the future prospects of organiza...
The use of neural network as an investment tool is relatively new in today's financial world. There ...
The stock market forecast includes forecasting the future value of the company's shares or other fin...
The aim of the paper was to outline a trend prediction model for the BELEX15 stock market index of t...
In a rapidly innovating environment, the evolution of technology has become fast-paced and more comp...
Abstract — Neural networks, as an intelligent data mining method, have been used in many different c...
There are many types of investments to make money, one of which is in the form of shares. Shares is ...
This paper surveys recent literature in the area of Neural Network, Data Mining, Hidden Markov Model...
Forecasting stock price movement direction (SPMD) is an essential issue for short-term investors and...
Generally, stock investors tend to implement different analysis tools on stock prediction, in order ...
There are many types of investments to make money, one of which is in the form of shares. Shares is ...
Our paper investigates the performance of two machine learning models, namely Support Ve...
Nowadays, people show more and more enthusiasm for applying machine learning methods to finance doma...
Abstract—Obtaining accurate prediction of stock index sig-nificantly helps decision maker to take co...
This research addresses the problem of predicting the trends of two stocks and two stock indexes fo...
Financial markets facilitate international trade, are indicative of the future prospects of organiza...
The use of neural network as an investment tool is relatively new in today's financial world. There ...
The stock market forecast includes forecasting the future value of the company's shares or other fin...
The aim of the paper was to outline a trend prediction model for the BELEX15 stock market index of t...
In a rapidly innovating environment, the evolution of technology has become fast-paced and more comp...
Abstract — Neural networks, as an intelligent data mining method, have been used in many different c...
There are many types of investments to make money, one of which is in the form of shares. Shares is ...
This paper surveys recent literature in the area of Neural Network, Data Mining, Hidden Markov Model...
Forecasting stock price movement direction (SPMD) is an essential issue for short-term investors and...
Generally, stock investors tend to implement different analysis tools on stock prediction, in order ...
There are many types of investments to make money, one of which is in the form of shares. Shares is ...
Our paper investigates the performance of two machine learning models, namely Support Ve...