These are the kinds of questions to which this work is addressed. Such fantastic results are possible in the stock market. Individual issues fluctuate widely enough and often enough to permit this and more. Techniques are presented here that put an average yield on investe. An actual trading experiment will be described using these principles which produced an 8.
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Review this product Share your thoughts with other customers. Write a customer review. Most helpful customer reviews on Amazon. Verified Purchase. JM Hurst's book written in the 70's is just the right combination of mathematics and practical techniques for applying cycle analysis to stock transactions.
You do need a background in mathematics but need not be a rocket scientist to learn the lessons from his treatise and do a basic application of his more simple techniques which applies to situations when the Trade Cycle is unfettered by "noises". My initial learning was very fundamental and does not cover the full Hurst Cyclical Analysis HCA , yet may be valuable to a newbie on the subject. It will, admittedly, have limited specific application. What we want as an end product is a computed Prediction, as contrasted to just a "suggestion" of probable price action from Technical Analysis.
However, we want to still take advantage of the capability and convenience of Technical Analysis charting facilities in generating the plots and outputs, including the built-in mathematical processes such as Moving Averages. In addition, several momentum indicators, which mimic the behavior of the Inverse Half-span Moving Average, were very helpful in getting a reading of how the cycles were forming, as well as, in the authentication of the forecast from cyclical analysis.
Cycle mechanics govern the interplay between the 3 cycles. Summation of Cycles. With this in mind, it becomes easier to imagine and picture the underlying curves latent in the price charts. This observation is highlighted by the explanation to how the popular chart patterns are formed by cycles combining together.
By design, the plot of the Full-span Moving Average falls at the middle of the channel of the Highs and Lows of the cycle and also by design, when the Half-span Moving average completes its first cycle, it is also at the mid-point of the prevailing cycle, where they will intersect, again by definition.
We can probably put it together into a possible HCA Processor. Why cyclical analysis for trading? Many follow the lead of Warren Buffett and invest for the long term, with good reasons. We can choose short-term trading to induce more opportunities for compounding. But there will be disruptions.
Hurst identified the Inverse Half-span Moving Average InvMA which is a plot of all the cycles remaining after all the cycles with terms shorter than the span of the Moving Average is deducted. Hurst took pains to demonstrate that the familiar chart patterns many technical analysts rely on are actually formed from cycles and maybe explained thru cycle analysis.
CCI also gives good correlations. As a result of those close correlations, we do not have to take the extra step of generating the plot for the InvMA itself but can use these indicators to generate the plots of the other cycles which can disrupt the Trade Cycle. And we can just use standard charting tools available from the net such as Chart Nexus and the chart from the website of Investagrams.
In all these processes, Technical Analysis charting facilities will be very useful. The next challenge will be how to automate this process into an app that can be integrated with the charting facilities. And the ultimate challenge is to further introduce more power from Hurst Cyclical Analysis by simplifying further the analyses which use his FLD's, Periodogram and Phasing Analysis.
What we have covered is still very basic and only scratches the surface of the gold mine in Hurst Cyclical Analysis. Some very good stock trading insights and methods that are still valid today. The book is a little dated, from the time before computers did a lot of stock charting, but the methods still work. In a way this is good, because you can see how the computer derives its charts. Hurst has an electrical engineering background and it shows up in a lot of his charting I recognize it because I too am an EE.
Amazing that many stock movements can be analyzed the same as electrical waveforms - and it works! I have been trading for 20 years and this book explained some phenomena that I have seen during that time. Hurst Revisited. Hurst was the "father" of cycles in the market. Putting it bluntly, it is not an easy read.
Hurst is a terrific writer - the book is very well done - but the material is involved and complicated. However, for anyone interest in technical trading, I think this book is a must! After finishing the book, he then wrote a "course" which he gave for a year It is far more detailed than the book and I also feel essential to learning cyclic trading. If someone asks "if this is so easy, why isn't everyone doing it? It's a tough nut to crack. I would add that having digested his book first was of much help in doing the course.
Eric Stephan. This book is the guide to learning cycle analysis. The guides in this book can be applied in any charting package that allows time cycles. Good book. Accurately described. Go to Amazon. Back to top. Get to Know Us. Shopbop Designer Fashion Brands. Alexa Actionable Analytics for the Web. DPReview Digital Photography.
J.m. Hurst - The Profit Magic Of Stock Transaction Timing
The author followed a year career in aerospace engineering with a career in full-time market research. Wondering why stock prices change in such a baffling manner, he brought his background in Hurst was educated at Kansas State, Brown, and Washington Universities, majoring in physics and mathematics. World War II and the advent of radar stimulated interest and training in electronics and the theory of communications. Following the war, Mr. Hurst specialized for 25 years in electronics systems design for aerospace applications. An interesting project related to antisubmarine warfare provided experience with and appreciation of the power of large digital computers as applied to the problem of extracting information from time-series data.
The profit magic of stock transaction timing
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