Forex traders have long sought ways to gain an edge in the foreign exchange market, and one increasingly popular tool is advanced technical analysis methods. Technical analysis is a process of forecasting price movements through the careful study of past price movement, and utilizing current levels of market activity. Advanced methods build and refine on the basic technical analysis tools used by many traders, such as price patterns, moving averages, trendlines, and support and resistance, to name a few. By taking the time to understand and apply these sophisticated techniques, forex traders can gain insight into the direction of future currency prices. In this article we will explore some of the more popular advanced technical analysis methods for forex.

Overview of Advanced Technical Analysis Methods

Advanced technical analysis methods go beyond the traditional tools of examination and allow traders to precisely predict the timing and direction of the market’s movements. By utilizing the more complicated studies and methods, an experienced trader can form stronger projections of the future developments in the market and react more adequately to them. Among the most popular advanced technical analysis methods are Elliott Wave Analysis, Neural Networks, and Cycles.

Elliott Wave Analysis

Elliott Wave Analysis is a technical analysis strategy that uses price behavior to predict market fluctuations. The theory attempts to map the recurring movements of the market’s price development and how different waves interact with each other. The analysis reveals how cyclical and repetitive the price movements of the market are, and allows traders to make educated assumptions about where the market is going. To execute this strategy to its full potential, traders must be able to correctly count and label the waves as they occur. Due to the preset characteristics that they have, traders tend to recognize them easier once they are educated on the Elliot Wave Theory.

Neural Networks

Neural networks are a type of artificial intelligence (AI) that mimic the behavior of the human brain. By studying patterns in the past of a given asset, they are capable of forming accurate projections of its future. Neural networks can detect such subtle correlations in the past of an asset which would take far too long for the typical trader to recognize. By using this technology, traders can assess the risk that their trades are taking and make decisions with respect to it. Neural networks often perform better than humans at predicting the direction of the market and when to make purchases and sales.


Another popular technique for advanced technical analysis are cycles. This method of analyzing the market observes the regularity of the market movements and attempts to predict where it is headed. By studying how the market has behaved in the past, traders are able to better anticipate where it might be heading in the future. Cycles usually occur between 24 to 48 hours and are able to be detected by intelligent traders due to the repeating patterns that they produce. By understanding the repeating cycles in the markets, traders can make more informed decisions with respect to their trades.

Advanced technical analysis methods provide traders with a more in-depth look into the market’s activity. By utilizing Elliott Wave Analysis, Neural Networks, and Cyclical Analysis, traders can better anticipate the direction of the market’s movement and better form their strategies for trading in it. With these advanced methods, traders no longer need to rely solely on the traditional techniques as they can now enter the markets with more confidence and accuracy in their projection of the current and future activities.

Related Post