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Elliott Wave Theory - short story

Elliott Wave Theory is a popular technical analysis tool used in trading to analyze and forecast market trends. It was developed by Ralph Nelson Elliott in the 1930s and is based on the idea that market prices move in repetitive patterns or waves.


According to Elliott Wave Theory, markets move in a series of impulsive and corrective waves. An impulsive wave is a trending move in the direction of the larger trend, consisting of five smaller waves labeled as 1, 2, 3, 4, and 5. After the completion of an impulsive wave, a corrective wave follows, which consists of three smaller waves labeled as A, B, and C. This pattern of five-wave impulse and three-wave corrective waves repeats at multiple degrees of trend.

Elliot Waves, investopedia

The Elliott Wave Principle suggests that these waves are driven by investor psychology and the collective behavior of market participants. As a result, the theory aims to identify repeating patterns and provide insights into the potential future direction of the market.


Traders who use Elliott Wave Theory analyze price charts and try to identify the current wave count and its position within the larger wave structure. By doing so, they attempt to predict where the market is likely to go next, based on the expected patterns and wave relationships. This analysis can help traders identify potential entry and exit points, set profit targets, and manage risk.



It's important to note that Elliott Wave Theory can be subjective, and different analysts may interpret waves differently. It requires a deep understanding of the theory and considerable experience to apply it effectively. Traders often use additional technical indicators and tools alongside Elliott Wave analysis to increase the probability of successful trades.


As with any trading methodology, it is crucial to combine Elliott Wave Theory with proper risk management and other forms of analysis to make informed trading decisions. It is advisable for traders to study the theory extensively and practice applying it in real market conditions before relying on it as the sole basis for trading strategies.



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