Introduction to Chart Patterns

There are hundreds of thousands of market participants buying and selling securities for a wide variety of reasons: hope of gain, fear of loss, tax consequences, short-covering, hedging, stop-loss triggers, price target triggers, fundamental analysis, technical analysis, broker recommendations and a few dozen more. Trying to figure out why participants are buying and selling can be a daunting process. Chart Patterns put all buying and selling into perspective by consolidating the forces of supply and demand into a concise picture. As a complete pictorial record of all trading, chart patterns provide a framework to analyze the battle raging between bulls and bears. More importantly, chart patterns and technical analysis can help determine who is winning the battle, allowing traders and investors to position themselves accordingly.

In many waves, Chart patterns are simply more complex versions of trend lines. It is important that you read and understand our articles on Support and Resistance as well as Trend Lines before you continue.

Chart pattern analysis can be used to make short-term or long-term forecasts. The data can be intraday, daily, weekly or monthly and the patterns can be as short as one day or as long as many years. Gaps and outside reversals may form in one trading session, while broadening tops and dormant bottoms may require many months to form.
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Much of our understanding of chart patterns can be attributed to the work of Richard Schabacker. His 1932 classic, Technical Analysis and Stock Market Profits, laid the foundations for modern pattern analysis. In Technical Analysis of Stock Trends (1948), Edwards and Magee credit Schabacker for most of the concepts put forth in the first part of their book. We would also like to acknowledge Messrs. Schabacker, Edwards and Magee, and John Murphy as the driving forces behind these articles and our understanding of chart patterns.

Pattern analysis may seem straightforward, but it is by no means an easy task. Schabacker states:

Even though Schabacker refers to "the science of chart reading", technical analysis can at times be less science and more art. In addition, pattern recognition can be open to interpretation, which can be subject to personal biases. To defend against biases and confirm pattern interpretations, other aspects of technical analysis should be employed to verify or refute the conclusions drawn. While many patterns may seem similar in nature, no two patterns are exactly alike. False breakouts, bogus reads and exceptions to the rule are all part of the ongoing education.