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Rocket Science for Traders
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Table of Contents

Introduction to the Science of Digital Signal Analysis. Market Modes. Moving Averages. Momentum Functions. Complex Variables. Hilbert Transforms. 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. Epilogue. For More Information. Glossary. Index.

About the Author

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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