In stock marketing, picking the right stock depends on the true stock value and the ability to
pick the stock is crucial as it influences the profit of investors. Data mining techniques have …

This research paper proposed agent based framework for portfolio management using non-
hierarchical clustering method. The framework included various agents such as data agent …

Stock Markets represent a complex, nonlinear, ever-changing, trading systems where
traders (investors) are competing for profit. Stock market forecasting have attracted some …

Clustering is one of the data mining techniques widely used in various application areas. It is
a process of assigning data objects in different groups so that data objects in the same …

Under today's economic conditions, developing more robust and realistic forecasting
methods is needed to make investments more profitable and secure. However …

In recent years an incredible progress has been made in the field of artificial intelligence,
deep learning and machine learning. There are various applications of machine learning in …

Stock market has been around as a platform for buyers and sellers of shares. Success in
stock trading, which depends on comprehensive knowhow on the trends of trading, is the …

In today's competitive financial market, individuals want to earn profit from their investments.
Stock market is a public market where an individual can buy/sell a share at some level of risk …

Ability to predict direction of stock/index price accurately is crucial for market dealers or
investors to maximize their profits. Data mining techniques have been successfully shown to …

The main aim of our research work is to find interesting and knowledgeable rules to discover
the correlation and associations between the index and price of the scripts from the data …