Video review of "Rocket Science for Traders"

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Rating: 3/5

In this session, John Ehlers teaches you to unleash the power of your computer by applying the science of modern digital signal processing to the art of trading. The result of this application is a series of indicators that operate together because they are adaptive to current market conditions. Computer code for all the indicators is provided.

Basic criteria are established for technical indicators, demonstrating their range and limitations. The concept of a Hilbert Transform is developed, and this transform is used to measure the dominant cycle and estimate the signal to noise ratio of the price data. The phase of the cyclic signal is extracted, and is used to derive a unique oscillator – The Sinewave Indicator. Additionally, the dominant cycle is removed from the data and the result is an Instantaneous Trendline. The way these new adaptive indicators work together is described.

The technical principles are applied specifically to several different kinds of stock trading systems. The advantages of using adaptive techniques in trading will be demonstrated.

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