The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The goal of this paper is to create a hybrid system based on a Multi-Agent Architecture that will investigate the evolution of some prediction strategies (Elliott Wave, Lucas, GANN) along with technical, fundamental and macro-economical analysis methods on stock market indexes and how this information influences the stock market behavior in order to improve the profitability on a short or medium time...
Stock market prediction is influenced by manyinternal and external factors. One of these factors are the newsarticles and financial reports related to each listed company. This paper describes a system that is able to extract relevantinformation from this type of textual documents, correlate themwith the stock price movement and determine whether ornot a new released news can and in which proportion...
Risk handling and evaluation plays an importantrole in optimizing an investment portfolio. This paper's goal isto describe a system that determines, classifies and handles riskassociated to any type of investment based on sentiment analysis, price movement, information related to companies, certain characteristics, the traders confidence level, and by measuring thepotential loss over a certain period...
Stock Market Forecasting implies the use of a series of techniques that helps in determining the stock price evolution. The paper describes a multi-agent system that uses numerical, financial and economical data in order to evaluate the company's position on the market, profitability, performance, future expectations in the company's evolution. Determining the effect of political, governmental and...
The goal of this paper is to create a hybrid system that will investigate possible stock market changes immediately after financial news article appear and how this information influences the stock market behavior in order to improve the profitability of a short or medium time period investment. We proposed a multi-agent system that uses text mining, information extraction, pattern recognition, sentiment...
The goal of this paper is to develop a system able to coordinate a trader in optimizing a stock market portfolio in order to improve the profitability of a short or medium time period investment. The system is able to classify the risk and quantifies its effect on an investment based on sentiment analysis, certain characteristics and the traders level of confidence. It also uses an ontology to describe...
Traders behavior can influence the evolution of thestock price movement due to their ability to use the information of some internal and external factors to place an order on the market. The goal of this paper is to create an expert system that simulates the behavior and the reaction of informed and noise traders in order to better understand the effect of the traders and how we can minimize the effect...
The goal of this paper is to develop a system able to coordinate a trader in optimizing a stock market portfolio in order to improve the profitability of a short or medium time period investment. The system is able to classify the risk and quantifies its effect on an investment based on sentiment analysis, certain characteristics, the traders confidence level, and by measuring the potential loss over...
On the stock market, it is said that the strongest stock gives the direction of those stocks that are in the same domain (IT, services, oil, and others). Determining the strongest stock plays an important part in finding a better moment to enter on a position. This paper presents a Multi-Agent architecture that combines Technical Analysis, Neural Networks and Statistical Methods in order to find the...
The goal of this paper is to create a hybrid system based on a Multi-Agent Architecture that will investigate the evolution of some neural network methods along with technical and fundamental analysis methods on stock market indexes and how this information influences the stock market behavior in order to improve the profitability of a short or medium time period investment. The proposed system compares...
Stock Trading Algorithm Models are an important problem researchers dealt with through time that implied knowledge in technical and fundamental analysis, time series combined with knowledge expertise in computer science or programming in order to find solutions of how to have a stock gain. This paper proposes a multi-agent architecture that assists a user in making a successful investment on the stock...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.