Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Intelligent Financial Portfolio Composition Based on Evolutionary Computation Strategies

Intelligent Financial Portfolio Composition Based on Evolutionary Computation Strategies

Gorgulho, Antonio
Neves, Rui F. M. F.
Horta, Nuno C. G.

Paperback

Investing & FinanceGeneral Computers

ISBN10: 3642329888
ISBN13: 9783642329883
Publisher: Springer
Published: Sep 27 2012
Pages: 77
Weight: 0.30
Height: 0.40 Width: 6.00 Depth: 8.90
Language: English
Preface.- Introduction.- Computational Finance .- Work's Purpose.- General Goals.- Concrete Goals.- Book's Structure.- Related Work.- Portfolio Theory.- Diversification.- Management.- Market Analysis.- Fundamental Analysis.- Technical Analysis.- Fundamental vs. Technical.- Evolutionary Computation.- Genetic Algorithms.- Individual Representation.- Initial Generation.- Selection.- Offspring Generation.- Genetic Programming.- Existing Solutions.- Portfolio Optimization Theory.- Markowitz's Pioneer Work.- Alternative Models.- Solving Markowitz's Model.- Quadratic Programming.- Modeling Real World.- Metaheuristics Approaches to Portfolio Optimization.- Single-objective Evolutionary Algorithms.- Multi-objective Evolutionary Algorithms.- Extensions to Genetic Algorithms.- Technical and Fundamental Analysis in Portfolio Management.- Solution's Architecture.- Overall Architecture.- Data Flow.- Financial Data Processing Module.- Implementation and Functionality.- Technical Rules Module .- Extensibility and Technical Rules Module Implementation.- Exponential Moving Average (EMA).- Hull Moving Average (HMA).- Double Crossover.- Rate of Change (ROC).- Relative Strength Index (RSI).- Moving Average Convergence Divergence (MACD) .- On Balance Volume (OBV).- True Strength Index (TSI).- Optimization Module.- Chromosome Representation.- Selection.- Mutation.- Crossover.- Initial Generation.- Constraints Handling.- Evaluation Function.- Optimization Module Implementation.- Investment Simulator Module.- Implementation and Functionality.- System Validation.- Performance Measures.- Return on Investment (ROI).- Ratio.- Sortino Ratio.- Classification Parameters.- Strategies Employed.- Case Studies.- Conclusions and Future Work.- Appendixes.

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