To Study and Analyze to foresee market Using Data Mining Technique
Journal Title: INTERNATIONAL JOURNAL OF ENGINEERING TRENDS AND TECHNOLOGY - Year 2013, Vol 4, Issue 9
Abstract
In every field there is huge growth and demand in knowledge and information over the internet. The automation using data mining and predictive technologies are doing an advance amount of deals in the markets. Data mining is all based on the theory that the historic data holds the essential memory for predicting the future direction. This technology is designed to help shareholders to discover hidden patterns from the historic data that have probable predictive capability in their investment decisions. The prediction of stock markets is regarded as a challenging task of financial time series prediction. Data analysis is one way of predicting if future stocks prices will increase or decrease. There are some methods of analyzing stocks which were combined to predict if the day’s closing price would increase or decrease. These methods include study of Price, Index, and Average. (For e.g.Typical Price (TP), Bands, Relative Strength Index (RSI), CMI and Moving Average (MA)).
Authors and Affiliations
Mr. Amit Khedkar Prof. R. V. Argiddi
Keywords
Related Articles
- EP ID EP120617
- DOI -
- Views 101
- Downloads 0
Emotion Detection in Human Beings Using ECG Signals
Emotion is often defined as a complex state of feeling that results in physical and psychological changes that influence thought and behavior. Emotion modeling and recognition has drawn extensive attention from dis...
Application of Entransy Dissipation Number as Performance Parameter for Heat Exchanger
A new physical quantity, entransy has been identified as a basis for optimizing heat transfer processes in terms of the analogy between heat and electrical conduction. This quantity, which will be referred to as entransy...
Implementation Barriers for Six Sigma in Construction
Standardization of process is the main necessity of any organization to have competence and continualdevelopment. Indian construction industries are not the exclusion to this. Six Sigma has emerged as one of the mo...
Automated Anomaly and Root Cause Detection in Distributed Systems
It is a challenging issue to identify a defective system in a large scale network. The data collected from the distributed systems for troubleshooting is very huge and may contain noisy data, so manual checking and...
Performance Analysis of Various Vedic Techniques for Multiplication
Multiplication is an important factor in arithmetic operations and is carried out in a number of Digital Signal Processing applications. As Multipliers take a long time for execution so there is a need of fast mult...