John Ehlers' Books



Click on the books for more














Cycle Analytics for Traders

Cycles are a unique kind of trading analytics, being one of the few types of market data that can be accurately measured. But understanding what the cycles mean and which trades to make based on them is an extremely complex process. Cycle Analytics for Traders is a technical resource for self-directed traders that explains the scientific underpinnings of the filters and indicators used to make effective and profitable trading decisions. Rather than simply using cycle analytics on blind faith, this book explores and explains the how and why.

"For the self-directed trader with a mathematical bent, this is the ultimate work. I especially enjoyed the descriptions of trading strategies as they apply to the various analytics."
—Larry McMillan, author of "Options as a Strategic Investment"

"John is one of those rare breed of analysts who dives into the why and how of things and not the often used superficial approach."
—Gregory L. Morris, Chairman, Stadion Money Management, LLC

"It's refreshing to find new ideas in a business that's become so competitive and often filled with variations on the same themes."
—Perry Kaufman, Managing Director, Kaufman Analytics Ltd. This is the h4 title class



Rocket Science for Traders

Rocket Science for Traders moves quickly from the basic building blocks to the heart and soul of this technical analysis method. Unique indicators, including Signal-to-Noise Ratio and the Sinewave Indicator, are discussed. Finite Impulse Response (FIR) and Infinite Impulse Response (IIR) filters are thoroughly described. Learn how to generate predictive filters and when to use them for optimum effectiveness.

In his goal to revolutionize the art of trading, John Ehlers has uncovered effective new trading tools by introducing the concept of modern digital signal processing. Whether you're looking for "cookbook" codes to help you begin trading immediately, or new tools such as the Homodyne cycle period measurer and the Instantaneous Trendline, once you've read this groundbreaking book, you'll be able to view the market from a new perspective.



MESA and Trading Market Cycles

If you are looking for a proven strategy to increase your chances of correctly predicting trends and making successful trades, look no further. MESA and Trading Market Cycles, Second Edition provides the expert knowledge, tools, and guidance that will enhance your probability of successful trades and increase your bottom line.

In this highly anticipated second edition of MESA and Trading Market Cycles, MESA pioneer John Ehlers updates his theories and makes them even more accessible to the entire trading community. Completely revised to reflect the most current developments in MESA–a well-known computerized analysis tool designed to trade market cycles–this Second Edition reveals more of the inner workings and hidden mechanisms of MESA, while showing you how to successfully apply it in the stock, options, and futures markets.




Cybernetic Analysis for Stocks and Futures

John Ehlers' contributions to the art and science of trading have been nothing short of extraordinary. From his pioneering work applying maximum entropy spectral analysis (MESA) software to trading markets, to his definitive tour de force Rocket Science for Traders, Ehlers's innovative and market-proven approach to cycle analysis and market forecasting has earned him a reputation that is unmatched among technicians and technical traders worldwide.

In Cybernetic Analysis for Stocks and Futures, Ehlers takes the next step, developing and demonstrating profoundly effective new trading tools through the application of modern digital signal processing techniques. Obtaining accurate cycle measurements within five samples with virtually zero lag, these tools have proven in real-time use to consistently provide traders with razor-sharp buy and sell signals in virtually any market--meeting or exceeding the performance of commercial systems which cost hundreds or even thousands of dollars.