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Trading simulators vary dramatically in such aspects of performance as speed, capacity, and power. Speed is important when there is a need to carry out many tests or perform complex optimizations, genetic or otherwise. It is also essential when developing systems on complete portfolios or using long, intraday data series involving thousands of trades and hundreds of thousands of data points. In some instances, speed may determine whether certain explorations can even be attempted. Some problems are simply not practical to study unless the analyses can be accomplished in a reasonable length of time. Simulator capacity involves problem size restrictions regarding the number of bars on which a simulation may be performed and the quantity of system code the simulator can handle. Finally, the power a simulator gives the user to express and test complex trading ideas, and to run tests and even system optimizations on complete portfolios, can be significant to the serious, professional trader. A fairly powerful simulator is required, for example, to run many of the trading models examined in this book. Speed The most significant determinant of simulation processing speed is the nature of the scripting or programming language used by the simulator, that is, whether the language is compiled or interpreted. Modern optimizing compilers for generic languages, such as Cf f, FORTRAN, and Pascal/Delphi, translate the userwritten source code into highly efficient machine code that the processor can execute directly at full bore; this makes simulator toolkits that use such languages and compilers remarkably fast. On the other hand, proprietary, interpreted languages, such as Microsoft s Visual Basic for Applications and Omega s Easy Language, must be translated and fed to the processor line by line. Simulators that employ interpreted languages can be quite sluggish, especially rdlc barcode 128 How to Generate Code 128 Barcode in RDLC Reports
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vb.net qr code scanner Jun 4, 2014 · The tutorial explains how to generate Code 128 barcodes in Visual Studio using barcode fonts ...Duration: 8:15 Posted: Jun 4, 2014 when executing complex or loopy source code. Just how much speed can be gained using a compiled language over an interpreted one We have heard claims of systems running about 50 times faster since they were converted from proprietary languages to C+ + ! Capacity While speed is primarily a function of language handling (interpreted versus compiled), capacity is mostly determined by whether 16-bit or 32-bit software is used. Older, 16-bit software is often subject to the dreaded 64K limit. In practical terms, this means that only about 15,000 bars of data (about 4 days of ticks, or 7 weeks of l-minute bars on the S&P 500) can be loaded for system testing. In addition, as the system code is embellished, expect to receive a message to the effect that the system is too large to verify. Modem C+ + or FORTRAN products, on the other hand, work with standard 32.bit C+ + or FORTRAN compilers. Consequently, they have a much greater problem size capacity: With continuous-contract data on a machine with sufficient memory, every single tick of the S&P 500 since its inception in 1983 can easily be loaded and studied! In addition, there are virtually no limits on the number of trades a system can take, or on the system s size and complexity. All modern Cf +, FORTRAN, and Pascal/Delphi compilers are now full 32.bit programs that generate code for, and run under, 32-bit operating systems, such as Windows 95, Windows NT, or LINUXAJNIX. Any simulator that works with such a compiler should be able to handle large problems and enormous data sets with ease. Since most software packages are upgrading to 32-bit status, the issue of problem size capacity is rapidly becoming less significant than it once was. rdlc code 128 RDLC Code 128 Creator generate Code 128, Code 128a, Code ...
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