DOIONLINE

DOIONLINE NO - IJACSCC-IRAJ-DOIONLINE-271

Publish In
International Journal of Advances in Computer Science and Cloud Computing (IJACSCC)-IJACSCC
Journal Home
Volume Issue
Issue
Volume-1,Issue-1  ( May, 2013 )
Paper Title
A Study On Trading Robot Chart Pattern Recognition & Risk Analysis
Author Name
Shakti Prasanna, Ashis Kumar Patra
Affilition
Dept. of Computer Science & Application, Utkal University
Pages
44-50
Abstract
Abstract: The purpose of this paper is to review the market technical charts and their correlation to past market chart to demonstrate the profitability pattern in stock , future , commodities and currencies market by evidence on the profitability technical pattern analysis. The empirical literature is categorized into two groups, ‘early’ and ‘modern’ studies, according to the characteristics of testing procedures. Early studies indicate that technical trading strategies are profitable in foreign exchange markets and futures markets, but not in stock markets. Modern studies indicate that technical trading strategies consistently generate economic profits in a variety of speculative markets at least until the early 1990s, most empirical studies are subject to various problems in their testing procedures. e.g. Data snooping, ex post selection of trading rules or search technologies, and difficulties in estimation of risk and transaction costs. Future research must address these deficiencies in testing in order to provide conclusive evidence on the profitability of technical trading strategies by profitability pattern analysis.
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