Rocket science for traders : digital signal processing applications
Author(s)
Bibliographic Information
Rocket science for traders : digital signal processing applications
(Wiley trading series)
Wiley, c2001
- cloth : alk. paper
Available at 2 libraries
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
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.
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.
by "Nielsen BookData"