Investing money has never been a risk-free process. Many models have been designed for the prediction of stock market returns. In this survey paper, we present an analysis of the various works done in the field of support vector machines for the prediction of stock market returns. Accuracies of various methods are analyzed and the best performing model is chosen. We then present our proposed model, explain its methodologies and scope. The various variables, dataset and their impact on the accuracy of the prediction are explained for each model. Thus helping investors to select their preferred model for prediction
The research presented in this work focuses on financial time series prediction problem. The integra...
Abstract: Time series forecasting is receiving remarkable attention from the research community in u...
In this study, a prediction model based on support vector machines (SVM) improved by introducing a v...
Investing money has never been a risk-free process. Many models have been designed for the predictio...
This report depicts the work done by me, Abburu Manasa, as a contribution towards my Final Year Proj...
Recently, many researches attempt to apply data mining methods to construct attractive decision supp...
Financial markets facilitate international trade, are indicative of the future prospects of organiza...
Previous research shows strong evidence that traditional regression based predictive models face sig...
In recent years with the advent of computational power, Machine Learning has become a popular approa...
Prediction of stock trends is the most significant and challenging task for the enterprise as well a...
There are many types of investments to make money, one of which is in the form of shares. Shares is ...
The aim of the paper was to outline a trend prediction model for the BELEX15 stock market index of t...
There are many types of investments to make money, one of which is in the form of shares. Shares is ...
Prediction of the trend of the stock market is very crucial. If someone has robust forecasting tools...
Stock price movement prediction has been one of the most challenging issues in finance since the tim...
The research presented in this work focuses on financial time series prediction problem. The integra...
Abstract: Time series forecasting is receiving remarkable attention from the research community in u...
In this study, a prediction model based on support vector machines (SVM) improved by introducing a v...
Investing money has never been a risk-free process. Many models have been designed for the predictio...
This report depicts the work done by me, Abburu Manasa, as a contribution towards my Final Year Proj...
Recently, many researches attempt to apply data mining methods to construct attractive decision supp...
Financial markets facilitate international trade, are indicative of the future prospects of organiza...
Previous research shows strong evidence that traditional regression based predictive models face sig...
In recent years with the advent of computational power, Machine Learning has become a popular approa...
Prediction of stock trends is the most significant and challenging task for the enterprise as well a...
There are many types of investments to make money, one of which is in the form of shares. Shares is ...
The aim of the paper was to outline a trend prediction model for the BELEX15 stock market index of t...
There are many types of investments to make money, one of which is in the form of shares. Shares is ...
Prediction of the trend of the stock market is very crucial. If someone has robust forecasting tools...
Stock price movement prediction has been one of the most challenging issues in finance since the tim...
The research presented in this work focuses on financial time series prediction problem. The integra...
Abstract: Time series forecasting is receiving remarkable attention from the research community in u...
In this study, a prediction model based on support vector machines (SVM) improved by introducing a v...