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Article Archive For Keyword: Optimization by

  • Forcing Optimization by Vincenzo Sciarretta

    ARTICLE SYNOPSIS...Forcing Optimization by Vincenzo Sciarretta Sooner or later, most system-oriented traders backtest a mechanical system and get a positive result - and then have it perform poorly in real-life situations. What gives? Sooner or later, most system-orient

  • Maximum Entropy Optimization by Anthony W. Warren, Ph.D. and Jack K. Hutson

    ARTICLE SYNOPSIS...Maximum Entropy Optimization by Anthony W. Warren, Ph.D. and Jack K. Hutson The Maximum Entropy Method (MEM) is a promising new system for short-term Spectrum Analysis and trend forecasting. In this article we discuss the process of obtaining an optimal

  • Momentum Trading Using Fourier/WAMI Optimization by Anthony W. Warren, Ph.D.

    ARTICLE SYNOPSIS...Momentum Trading Using Fourier/Wami Optimization by Anthony W. Warren, Ph.D. Technical analysis and the use of indicators may lend itself to well-defined rules for trading, but most traders develop their methods into more of an art form. Here, a longtim

  • Neural Net Input Optimization by Kyle M. Druey

    ARTICLE SYNOPSIS...Neural Net Input Optimization by Kyle M. Druey Here's an article based on the author's own research of neural networks and personal experience developing neural net trading models. These findings are more from the practical/user-oriented framework rathe

  • Parameter Optimization by Roger Altman, Ph.D.

    ARTICLE SYNOPSIS...Parameter Optimization by Roger Altman, Ph.D. Optimizing the parameters of mechanical trading systems to improve performance is a common technique, but does such a procedure improve system profitability? Is there evidence that optimization will lead us

  • The value of optimization by Louis P. Lukac and B. Wade Brorsen

    ARTICLE SYNOPSIS...The value of optimization by Louis P. Lukac and B. Wade Brorsen Optimization based on historical data is used widely in the futures industry to determine the most profitable parameter sets for a trading system. The underlying premise is that if some par







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