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Financial Data Resampling for Machine Learning Based Trading

resample the data creating a signal better suited for financial trading, thus achieving higher returns without increased risk. The performance;

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Detecting Regime Change in Computational Finance

Based on interdisciplinary research into "Directional Change", a new data-driven approach to financial data analysis, this book applies;

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Machine Learning for Algorithmic Trading

Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn;

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Artificial Intelligence in Finance A PythonBased Guide

programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book;

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Detecting Regime Change in Computational Finance

Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading applies machine learning to financial market monitoring;

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Detecting Regime Change in Computational Finance

Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading applies machine learning to financial market monitoring;

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Machine Learning in Finance

and hypothesis tests inform the choice of algorithm for financial data modeling and decision making. With the trend towards increasing;

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Machine Learning in Finance

and hypothesis tests inform the choice of algorithm for financial data modeling and decision making. With the trend towards increasing;

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Machine Learning and Data Science Blueprints for Finance From Building Trading Strategies to RoboAdvisors Using Python

learning regression-based models for trading strategies, derivative pricing, and portfolio management Supervised learning classification-based;

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Online Portfolio Selection

principles and presents a collection of innovative strategies that leverage machine learning techniques for financial investment. The book;

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Machine Learning For Financial Engineering

This volume investigates algorithmic methods based on machine learning in order to design sequential investment strategies for financial;

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Intelligent Learning Systems

, the computational learning theory, and the use of statistics for the purpose of learning - based on previously available data.Extremely;

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Applied Genetic Programming and Machine Learning

What do financial data prediction, day-trading rule development, and bio-marker selection have in common? They are just a few of the tasks;

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Applied Genetic Programming and Machine Learning

What do financial data prediction, day-trading rule development, and bio-marker selection have in common? They are just a few of the tasks;

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Machine Learning for Finance

A guide to advances in machine learning for financial professionals, with working Python code Key Features Explore advances in machine;

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Python for Algorithmic Trading From Idea to Cloud Deployment

algorithmic trading Learn how to retrieve financial data from public and proprietary data sources Explore vectorization for financial analytics with;

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Hands-On Machine Learning with R

effectively model and gain insight from their data. The book favors a hands-on approach, providing an intuitive understanding of machine learning;

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Machine Learning

learning to improve the effectiveness of agents and multi-agent systems to developing machine learning software for high frequency trading;

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Machine Learning and Big Data with kdb+/q

growing speed and volume of data, and lack the necessary flexibility that cutting-edge financial modelling demands. Machine Learning and Big Data;

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Python for Finance Cookbook

deep learning (PyTorch) for approaching financial tasks. By the end of this book, you'll have learned how to effectively analyze financial data;

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Machine Learning, Big Data, and IoT for Medical Informatics

Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics;

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Financial Signal Processing and Machine Learning

market data available. Financial Signal Processing and Machine Learning unifies a number of recent advances made in signal processing and;

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Big Data and Machine Learning in Quantitative Investment

. * Gain a solid reason to use machine learning * Frame your question using financial markets laws * Know your data;

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Mastering Java Machine Learning

-performing, real-time, adaptive predictive models for batch- and stream-based big data learning using the latest tools and methodologies. * Get a;

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Scala for Machine Learning -

a data analyst with a fundamental knowledge of Scala who wants to learn and implement various Machine learning techniques, this book is for;

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Machine Learning Algorithms

Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide About This;

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Learning Quantitative Finance with R

the tools available in R. * Contain different methods to manage risk and explore trading using Machine Learning. Who This Book Is For;

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