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Development of Trading Systems using Genetic Programming with a Case Study

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Genetic Algorithms and Genetic Programming in Computational Finance

After a decade of development, genetic algorithms and genetic programming have become a widely accepted toolkit for computational finance;

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Genetic Algorithms and Genetic Programming in Computational Finance

After a decade of development, genetic algorithms and genetic programming have become a widely accepted toolkit for computational finance;

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Building Automated Trading Systems

automated trading system ( ATS ) technology and teach financial system design and development from the absolute ground up using Microsoft Visual C;

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The Evaluation and Optimization of Trading Strategies

traders with a way to develop and verify their trading strategy no matter what form they are currently using-stochastics, moving averages, chart;

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Robust Control Systems with Genetic Algorithms

optimization of symbolic codes. Robust Control Systems with Genetic Algorithms builds a bridge between genetic algorithms and the design of robust;

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Robust Control Systems with Genetic Algorithms

optimization of symbolic codes. Robust Control Systems with Genetic Algorithms builds a bridge between genetic algorithms and the design of robust;

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Portfolio of Trading Systems

in Australia run his portfolio of trading systems for select clients. Using advanced programming and statistical analysis, managing a portfolio;

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Genetic Systems Programming

area. Genetic programming is a relatively new promising and growing research area. Among other uses, it provides efficient tools to deal with;

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Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs

This Brief presents a study of SAX/GA, an algorithm to optimize market trading strategies, to understand how the sequential implementation;

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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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Programming Multicore and Many-core Computing Systems

traditionally trained for the development of sequential programs, and only a small percentage of them have experience with parallel programming. In the;

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Multicore Software Development Techniques

This book provides a set of practical processes and techniques used for multicore software development. It is written with a focus on;

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Trading Systems and Methods

, TradeStation code, MetaStock code, and more Provides access to a companion website packed with supplemental materials Trading Systems and Methods;

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Using Event-B for Critical Device Software Systems

Defining a new development life-cycle methodology, together with a set of associated techniques and tools to develop highly critical;

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Biologically Inspired Algorithms for Financial Modelling

of biologically inspired algorithms (BIAs) to financial modelling. In a detailed introduction, the authors explain computer trading on financial;

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Genetic Algorithms with Python

Get a hands-on introduction to machine learning with genetic algorithms using Python. Step-by-step tutorials build your skills from Hello;

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Modelling, Simulation and Control of Non-linear Dynamical Systems

is presented. It is illustrated with examples on the PROLOG programming language. Second, a new fuzzy-genetic approach to automated simulation;

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Optimization of Water Distribution Networks Using Genetic Algorithm

This study gives a description about the development of a computer model, RealPipe, which relates genetic algorithm (GA) to the well known;

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Embedded Systems Design

new case study explores how embedded systems can be developed and experimented with using nothing more than a standard PC.* A;

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Developing Multi-Agent Systems with JADE

with JADE is a practical guide to using JADE. The text will give an introduction to agent technologies and the JADE Platform, before proceeding;

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Portable Shell Programming

For software development engineers, system administrators, and QA test engineers who work with UNIX computer systems. This complete guide;

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Programming Multi-Agent Systems in AgentSpeak using Jason

Belief-Desire-Intention (BDI) architecture. Programming Multi-Agent Systems in AgentSpeak using Jason provides a brief introduction to multi;

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Practical Software Engineering

systems, compilers, and games. (Fowler, 2003, p.3). The book is pivoted on one main case-study, a large number of supporting examples, and end;

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Generative Programming

cycle: one stage for designing and implementing a generative domain model, and another for using the model to build concrete systems. They;

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Computational Intelligence Paradigms

Using MATLAB (R) presents theoretical concepts and a general framework for computational intelligence (CI) approaches, including artificial;

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