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Glossary of terms | Technical Analysis | Quantitative Analysis
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Technical Analysis

What would you do if you truly believed that all information about publicly traded companies was efficiently distributed and that nobody could get an edge on anyone else by either understanding the business or analyzing the numbers? You might consider simply giving up on beating the market's returns by buying an index fund. Some investors have taken an alternate route, attempting to create a set of tools that might tell them what other investors thought about a stock at any given time, particularly looking for the footprints of large institutional investors that tend to cause the most extreme price changes. Investors who focus on this kind of psychological information call themselves technical analysts and believe that charts can sometimes provide insight into the psychology surrounding a stock. Although there are plenty of pure chartists, some investors just use charts to time investments after looking at them from a fundamental or quantitative perspective.


There is no set of clearly defined approaches to technical analysis, but there are a number of different tools. The most important indicators seem to be specific chart formations that show certain price movements at times when trading volume is at a certain level. The most common kinds of charts include point and figure charts, logarithmic charts, and Japanese candlesticks, to name a few.
 
Arguments Against Technical Analysis
Technical analysis assumes that certain chart formations can indicate market psychology about either an individual stock or the market as a whole at key points. However, most of the statistical work done by academics to determine whether the chart patterns are actually predictive has been inconclusive at best, as detailed in Burton Malkiel's A Random Walk Down Wall Street. Much of the faith in technical analysis hinges on anecdotal experience, not any kind of long-term statistical evidence, unlike certain quantitative and fundamental methodologies that have been shown in many instances to be pretty predictive. Critics of technical analysis feel that it is basically as useful as reading tea leaves.

 

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