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Before you can design a good trading strategy, you must first know what one is The validity of a strategy is defined by its trading performance In this chapter, we cover the key performance statistics that separate the good strategies from the bad Today, with the use of TradeStation, EasyLanguage, and backadjusted data, we can test an infinite number of different strategies on thousands of different tradable instruments Twenty years ago only a handful of people throughout the world had this power Power can be used or abused In addition to performance statistics, the concepts of parameter robustness and overoptimization are discussed Omega Research s System Writer was one of the first software packages to provide back testing capabilities and trading performance analysis Through the years and a couple of name changes, this software package has evolved.

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sidebar Answering technical questions about your course . Instead, think about the skills that you picked up, such as: Researching; gathering qualitative or quantitative data; analysing data; critically evaluating arguments. Writing reports and presenting information at tutorials or seminars. Multi-tasking juggling multiple assignments or part-time work or other commitments outside of studying. Working in teams with other students. Raising funds, managing budgets, and organising events on behalf of societies or charities.

A reorganization technique that simpli es the design (or code) of a component without changing its function or behavior (see 6).

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Source: Ipsos-Reid Global Express Survey, February March 2001. Retrieved from www.eMarketer.com. Note: While half or more of the Internet users (8,583 adults) in the most Web-dense countries fear being defrauded online, the Ipsos-Reid study showed that the actual incidence of fraud is much lower. However, perception is almost always greater than reality, so fraud stands in the way of some purchasing.

The stabilizing resistance must therefore be chosen so that the following condition applies:

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Without a perfect hedge, the risk-free rate cannot be used and a closedform answer cannot be found. Merton did identify some special cases where a solution can be found. The usual assumption in order to nd a pricing solution is the assumption that the jump is entirely nonsystematic. Once that assumption is made, there is no need to price the jump portion of the distribution since it does not contain market risk. In reality, however, downside jumps are often marketwide phenomena. Just observe the Asian crisis of the late 1990s, the technology asco of the early 2000s, or the accounting scandals of 2002, and notice the patterns of downside drops spreading throughout the domestic and worldwide economy. This makes the assumption of no market risk (zero beta) for the jump impractical for modeling downside risk in the stock market; the zero beta assumption is more useful for special cases when the jumps are uncorrelated random occurrences. This is the dif culty of the Black-Scholes formula. If any of the assumptions are broken, the solution is no longer as elegant, and either a numerical calculation or a simulation needs to be run to approximate the option price, if it can be calculated at all. Numerical solutions and simulations of options prices will be covered in 9.

particular algorithms assume, in effect, that arithmetic operations are of in nite precision (This is not the same as assuming that the inputs are of in nite length) To illustrate this point, consider the following algorithm for computing the average of n of numbers: SumSimple(S) x=0 for i = 1 to n { x = x + S[i] } x = x/n; return(x); Although this is a correct and ef cient algorithm, it does not lend itself particularly well to accurate implementation in current standard computer languages For example, suppose that the input S[i] was produced by the function S[i] = i 2 ; then x grows in magnitude at every iteration while S[i] shrinks.

In its latest incarnation, back testing has become much easier to facilitate, and the number of trading performance statistics has increased ten-fold Unfortunately, throughout the years, one key analysis tool has not found its way into TradeStation: portfolio analysis We have the ability to microscopically analyze a trading strategy on a particular market, but we can t analyze the interaction of a strategy on a portfolio of different markets Sure, we can have multiple tests of a strategy on different markets, but we can t see how trading several markets simultaneously will affect the bottom line To illustrate this point, let s assume that we have developed a trading strategy and we tested it on the US Bond and soybean markets After applying the strategy to the two charts, we end up with two performance reports.

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