Statistically Sound Machine Learning for Algorithmic Trading of Financial Instruments: Developing Predictive-Model-Based Trading Systems Using TSSB

Author:   Timothy Masters ,  David Aronson
Publisher:   Createspace Independent Publishing Platform
ISBN:  

9781489507716


Pages:   520
Publication Date:   01 June 2013
Format:   Paperback
Availability:   Available To Order   Availability explained
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Statistically Sound Machine Learning for Algorithmic Trading of Financial Instruments: Developing Predictive-Model-Based Trading Systems Using TSSB


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Author:   Timothy Masters ,  David Aronson
Publisher:   Createspace Independent Publishing Platform
Imprint:   Createspace Independent Publishing Platform
Dimensions:   Width: 18.90cm , Height: 2.70cm , Length: 24.60cm
Weight:   0.916kg
ISBN:  

9781489507716


ISBN 10:   148950771
Pages:   520
Publication Date:   01 June 2013
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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David Aronson is a pioneer in machine learning and nonlinear trading system development and signal boosting/filtering. He has worked in this field since 1979 and has been a Chartered Market Technician certified by The Market Technicians Association since 1992. He was an adjunct professor of finance, and regularly taught to MBA and financial engineering students a graduate-level course in technical analysis, data mining and predictive analytics. His ground-breaking book Evidence-Based Technical Analysis was published by John Wiley & Sons 2006. --------- Timothy Masters received a PhD in mathematical statistics with a specialization in numerical computing. Since then he has continuously worked as an independent consultant for government and industry. His current focus is methods for evaluating financial market trading systems. He has authored five books on prediction, classification, and practical applications of neural networks: Practical Neural Network Recipes in C++ (Academic Press, 1993) Signal and Image Processing with Neural Networks (Wiley, 1994) Advanced Algorithms for Neural Networks (Wiley, 1995) Neural, Novel, and Hybrid Algorithms for Time Series Prediction (Wiley, 1995) Assessing and Improving Prediction and Classification (CreateSpace, 2013) More information can be found on his website: TimothyMasters.info

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NOV RG 20252

 

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