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approaches. For problem (ii), the authors introduce a forecasting-based trading model capable of reducing the periods of portfolio decline by 75;
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a research and strategy development process to apply predictive modeling to trading decisions Leverage NLP and deep learning to extract;
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The first in-depth analysis of pairs trading Pairs trading is a market-neutral strategy in its most simple form. The strategy involves;
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learning regression-based models for trading strategies, derivative pricing, and portfolio management Supervised learning classification-based;
Vergelijkbare producten zoals Machine Learning and Data Science Blueprints for Finance From Building Trading Strategies to RoboAdvisors Using Python
principles and presents a collection of innovative strategies that leverage machine learning techniques for financial investment. The book;
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This volume investigates algorithmic methods based on machine learning in order to design sequential investment strategies for financial;
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invest. Trading on the House is a light and funny read with lots of stories and a unique long-term trading strategy that guards your investment;
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of what was first called pairs trading this unique guide provides detailed insights into the nuances of a proven investment strategy. Filled with;
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Successful investment strategies are specific implementations of general theories. An investment strategy that lacks a theoretical;
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Master the lucrative discipline of quantitative trading with this insightful handbook from a master in the field In the newly revised;
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learning and its applications in trading, investment and wealth management. Python code examples are provided to support the readers' understanding;
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learning and its applications in trading, investment and wealth management. Python code examples are provided to support the readers' understanding;
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machine learning algorithms. Based on the results of the ChaLearn Cause-Effect Pairs Challenge, this book reveals that the joint distribution;
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Are you a machine learning enthusiast looking for a practical day to day application? Or are you just trying to incorporate machine;
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Based on interdisciplinary research into "Directional Change", a new data-driven approach to financial data analysis, this book applies;
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Get to know the 'why' and 'how' of machine learning and big data in quantitative investment Big Data and Machine Learning;
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Some of the most successful and well known hedge funds have long profited from a trading strategy that applies macroeconomic views to;
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An accessible guide to the pairs trading technique A leading arbitrage expert gives traders real tools for using pairs trading, including;
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Algorithmic Trading Methods: Applications using Advanced Statistics, Optimization, and Machine Learning Techniques, Second Edition, is a;
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performance. In particular, using static asset pricing models to judge the performance of a dynamic investment strategy leads to flawed inferences;
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Options are the fastest growing trading venue offered today. Option trading volume grew 22% in 2018 alone-faster than any other trading;
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This book presents the state of the art in distributed machine learning algorithms that are based on gradient optimization methods. In the;
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insights to enhance a trading and investment strategy.;
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Achieve positive returns on your investments, in any market With Managing Your Investment Portfolio FD you can build and manage a;
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Machine Learning: Concepts, Methodologies, Tools, and Applications offers a wide-ranging selection of key research in a complex field;
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Vergelijkbare producten zoals Machine Learning for Algorithmic Trading
Vergelijkbare producten zoals Machine Learning for Algorithmic Trading
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