Predict the future more accurately in today's difficult trading times The Holy Grail of trading is knowing what the markets will do next. Technical analysis is the art of predicting the market based on tested systems. Some systems work well when markets are "trending," and some work well when they are "cycling," going neither up nor down, but sideways. In Trading with Signal Analysis, noted technical analyst John Ehlers applies his engineering expertise to develop techniques that predict the future more accurately in these times that are otherwise so difficult to trade. Since cycles and trends exist in every time horizon, these methods are useful even in the strongest bull - or bear - market. John F. Ehlers (Goleta, CA) speaks internationally on the subject of cycles in the market and has expanded the scope of his contributions to technical analysis through the application of scientific digital signal processing techniques.
Introduction to the Science of Signal Analysis
Market Modes
Moving Averages
Momentum Functions
Complex Variables
Hilbert Transform
Measuring Cycle Periods
Signal to Noise Ratio
The Sinewave Indicator
The Instantaneous Trendline
Identifying Market Modes
Designing a Profitable Trading System
Transform Arithmetic
Finite Impulse Response Filters
Infinite Impulse Response Filters
Removing Lag
MAMA-the Mother of Adaptive Moving Averages
Ehlers Filters
Measuring Market Spectra
Optimum Predictive Filters
What You See is What You Get
Making Standard Indicators Adaptive
About John F. Ehlers
JOHN F. EHLERS received his BSEE and MSEE from the University of Missouri and did his doctoral work at the George Washington University, majoring in fields and waves and minoring in information theory. A private trader since 1976, he is currently President of MESA Software (www mesasoftware.com) and has written a previous book, MESA and Trading Market Cycles, as well as numerous articles for Futures and Technical Analysis of Stocks & Commodities magazines. He has now expanded the scope of his contributions to technical analysis through the application of scientific digital signal processing techniques.
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