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dc.contributor.authorShuller, Kevinen_US
dc.contributor.authorPuz, Jonen_US
dc.date.accessioned2008-07-22T19:31:29Zen_US
dc.date.accessioned2013-07-10T15:06:25Z
dc.date.available2008-07-22T19:31:29Zen_US
dc.date.available2013-07-10T15:06:25Z
dc.date.issued2003-05-01en_US
dc.date.submitted2008-03-17en_US
dc.identifier.uri
dc.identifier.urihttp://hdl.handle.net/2374.MIA/225en_US
dc.description.abstractTo simplify the process of determining which actions an investor should take, all application that provides a list of trade to be placed each morning was designed. Because the application gives signals on the long and the short side, users can make money in both rising and Falling markets and can minimize market risk by keepingmoney in both sides of the market. This application works by prompting the user for the stocks to be traded. Users can also tailor settings based on their personal investment style. Given these inputs, and using publicly available stock data, a comparison of current price levels relative to recent performance is made and the strength and the direction of market trends are measured. Based on these results, and using a methodology that the researchers developed, concrete buy, sell, and short commands are given to the user. While most trading theories fail in their inability to perform in different market conditions, the methodology that drives thic application has been shown to outperform market indices. Additionally, this theory provides evidence against the popularly accepted Random Walk theory. which states that it is impossible to accurately predict the direction in which the market will move.en_US
dc.titleEvaluating Market Conditions: A simplified Approach for Analyzing Stock Price Activityen_US
dc.typeTexten_US
dc.type.genreReporten_US


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