Mimsy: A System for Stock Market Analysis

1995 ◽  
pp. 121-142
Author(s):  
William G. Roth ◽  
Raghu Ramakrishnan ◽  
Praveen Seshadri
Keyword(s):  
Stock Market ◽  
Market Analysis

Stock Market Analysis and Prediction using Hadoop and Machine Learning

2018 ◽  
Vol 6 (5) ◽  
pp. 578-584
Author(s):  
Piyush Jain ◽  
◽  
◽  
◽  
◽  
...  
Keyword(s):  
Machine Learning ◽  
Stock Market ◽  
Market Analysis

scholarly journals STOCK MARKET ANALYSIS

2012 ◽  
Author(s):  
Sachin Kamath
Keyword(s):  
Stock Market ◽  
Market Analysis

A review of stock market analysis approaches and forecasting techniques

2021 ◽  
pp. 368-382
Author(s):  
Chinthakunta Manjunath ◽  
M. Balamurugan ◽  
Bikramaditya Ghosh ◽  
Addapalli V.N. Krishna
Keyword(s):  
Stock Market ◽  
Market Analysis ◽  
Forecasting Techniques

Feature Selection for Stock Market Analysis

2013 ◽  
pp. 737-744 ◽  
Author(s):  
Yuqinq He ◽  
Kamaladdin Fataliyev ◽  
Lipo Wang
Keyword(s):  
Feature Selection ◽  
Stock Market ◽  
Market Analysis ◽  
Selection For

A Data Warehouse Based Modelling Technique for Stock Market Analysis

2018 ◽  
Vol 7 (3.13) ◽  
pp. 165
Author(s):  
Debomita Mondal ◽  
Giridhar Maji ◽  
Takaaki Goto ◽  
Narayan C. Debnath ◽  
Soumya Sen
Keyword(s):  
Decision Making ◽  
Stock Market ◽  
Data Warehouse ◽  
Analytical Model ◽  
Market Performance ◽  
Analytical Framework ◽  
Market Analysis ◽  
External Factors ◽  
Stock Market Performance ◽  
Indian Stock Market

The objective of this paper is identifying a warehouse model to build an analytical framework and analyze different important parameters which directly impact the changes of share market. We identify parameters that represent different viewing windows and perspectives towards stock market performance and movement trends. We categorize and define many intrinsic as well as external factors that may affect stock market as a whole. Sensex and Nifty are used as the pulse of Indian stock market. In this paper, we focus on defining a suitable OLAP model which can cater all the parameters that affect share market. We also identify different applications of this analytical model for forecasting information to help decision making.  

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