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dojo.toggleClass() The dojo.toggleClass() function does exactly what it says: it toggles whether a style class is applied to a specified DOM node or not. You pass it a reference to the DOM node, or the ID of the node, and then the name of a style class. If the node already has the style applied, it is removed, and if the node doesn t yet have the style applied, it is applied. Optionally you can pass a third argument that when true will apply the style either way, and when false will remove it either way. So, for example: dojo.toggleClass("myDiv", "myClass"); alert("Should now be red"); dojo.toggleClass("myDiv", "myClass"); alert("Should now NOT be red"); dojo.toggleClass("myDiv", "myClass", true); alert("Should now be red"); dojo.toggleClass("myDiv", "myClass", false); alert("Should now NOT be red"); This yields four alert() pop-ups (which I m going to forego showing here to save a little space). The text on the page changes from red to black, to red again, and then to black again, with the pop-ups in-between each change so you can see it. Because the target <div> starts off with no style, the first call to dojo.toggleClass() applies it, the second removes it, the third forcibly applies it, and the fourth forcibly removes it. dojo.toJson() The dojo.toJson() function is a very handy function, especially during debugging. Very simply, it takes a given object and spits out JSON representing the object. It optionally can print the JSON in pretty format. (I personally find the non-pretty format to be prettier; your mileage may vary). Check out this code: function MyClass() { this.salary = 10000000; this.age = 34; this.isReality = false; } alert(dojo.toJson(new MyClass(), true));

With thousands of analysts and traders tracking the prices of every stock every second, market opportunities due to price distortions are rare, and program trading engines coupled with arbitrage engines are programmed to exploit such opportunities Some program trading engines are also programmed to look for arbitrage opportunities In such cases the program trading engine itself doubles as the arbitrage engine Arbitrageurs usually have arbitrage interest in multiple exchanges Assume you are building an arbitrage engine around such a case The arbitrage engine will need to analyze data from these exchanges It would be extremely difficult for one human being to track several shares across exchanges and keep a watch on prevailing prices on every exchange and differential in order to track arbitrage opportunities Good arbitrage opportunities are rare and happen mostly on not-so-popular securities Hence, arbitrageurs need a sophisticated program that will help them track arbitrage opportunities.

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The second parameter (true here) tells Dojo to pretty-print the JSON, and you can see the results in Figure 2-39.

These computer programs simultaneously read broadcasts across different exchanges and go through an arbitrageur s requirements to seek out arbitrage opportunities On any normal day, manually tracking five stocks may seem simple But both these exchanges would have thousands of listed stocks, and there would be good arbitrage opportunities in only a few of them To arrive at arbitrage opportunities across these five, the arbitrage engine would follow these steps: 1 Create a short list of securities of interest, and define the arbitrage costs and margin and the minimum expected returns from arbitrage 2 Scan the prices prevailing of securities the arbitrageur is interested in by reading continuously available market data 3 Arrive at price differentials between those stocks across various exchanges These differentials will determine the returns to the arbitrageur 4 Compute the percentage returns 5.

Normally, when you write a Django view the function that actually responds to an HTTP request you ll set it up to use a single template for its output, and the applications you ll write in this book will typically only need to specify one template for each view. However, there is a helper function, django.template. loader.select_template, which takes a list of template names, searches for template files matching those names, and uses the first one it finds. The admin application makes use of this helper function to precisely enable the sort of customization we re making here. If you re ever writing an application where you need to do the same, keep that function in mind.

Calculate the annualized percentage returns; as discussed earlier, the absolute returns will not only determine whether the arbitrage opportunity is good or bad They have to be annualized in terms of percentage for a comparison to be possible 6 Compare the annualized percentage returns with the prevailing arbitrage cost and expected returns from the arbitrage; since a comparison has to be made, in most cases the arbitrage cost is also expressed as a percentage and is annualized for the comparison to be more meaningful 7 Determine on which exchange to buy and on which exchange to sell This depends upon the relative prices in each exchange Arbitrageurs need to buy on the exchange where the stock is trading at a lower price and sell where it is trading at a higher price 8 Present the opportunities to the arbitrageur in a meaningful form for them to take action..

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