With this work in progress we propose a visualization system for stock market charts. Insight into stock charts is important in technical stock market analysis where exclusively the chart shape is considered in decision making. We focus on clustering existing chart shapes. Clustering delivers representative charts representing a set of similar charts. In our work, we generate a 2D map of these representative charts and implement tools like zooming, levels of details and selection. Thus, we present a new approach of automatically generating the whole picture of the stock market dynamics
We propose a graphical method to visualize possible time-varying correlations between fifteen stock...
This paper applies Multidimensional scaling techniques for visualizing possible time-varying correla...
Visualization of textual data may reveal interesting properties regarding the information conveyed i...
Financial markets are a fruitful area for data exploration, but the overwhelming size and dimension ...
Stock investment decisions are often made based on current events of the global economy and the anal...
Companies trading stocks need to store information on stock prices over specific time intervals, whi...
Visual Analytics seeks to combine automatic data analysis with visualization and human-computer inte...
Visual Analytics seeks to combine automatic data analysis with visualization and human-computer inte...
Companies trading stocks need to store information on stock prices over specific time intervals, whi...
We started by averaging each stock's data into two-minute periods, discarding the news entries and t...
In stock market, foreign currency exchange market, or any other asset trading system, there are high...
In stock market, foreign currency exchange market, or any other asset trading system, there are high...
Interaction in graphs gives the user with an advantage to analyze the data in greater depth. With th...
© 2018, University of Nis. All rights reserved. Decision making in stock investment is often made ba...
This paper introduces an automatic procedure to assist on the interpretation of a large dataset when...
We propose a graphical method to visualize possible time-varying correlations between fifteen stock...
This paper applies Multidimensional scaling techniques for visualizing possible time-varying correla...
Visualization of textual data may reveal interesting properties regarding the information conveyed i...
Financial markets are a fruitful area for data exploration, but the overwhelming size and dimension ...
Stock investment decisions are often made based on current events of the global economy and the anal...
Companies trading stocks need to store information on stock prices over specific time intervals, whi...
Visual Analytics seeks to combine automatic data analysis with visualization and human-computer inte...
Visual Analytics seeks to combine automatic data analysis with visualization and human-computer inte...
Companies trading stocks need to store information on stock prices over specific time intervals, whi...
We started by averaging each stock's data into two-minute periods, discarding the news entries and t...
In stock market, foreign currency exchange market, or any other asset trading system, there are high...
In stock market, foreign currency exchange market, or any other asset trading system, there are high...
Interaction in graphs gives the user with an advantage to analyze the data in greater depth. With th...
© 2018, University of Nis. All rights reserved. Decision making in stock investment is often made ba...
This paper introduces an automatic procedure to assist on the interpretation of a large dataset when...
We propose a graphical method to visualize possible time-varying correlations between fifteen stock...
This paper applies Multidimensional scaling techniques for visualizing possible time-varying correla...
Visualization of textual data may reveal interesting properties regarding the information conveyed i...