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then, her order will get filled at $46. This could irk the institution on behalf of which the purchase was made, and the salesperson will have to give a lot of explanation to explain this difference between the asked price and the executed price. If the salesperson gives a limit order to curtail this risk of overpriced execution, this order will not be executed since the market price has moved to $46. Nonexecution could mean missed opportunity, which most institutions do not like. A couple of such cases of this would be enough for the institution to start looking for another broker or another salesperson. Delayed market data can thus mean loss of trust, reputation, and eventually loss of business. Sophisticated clients measure the performance of the executing brokers very closely. Their consistent ability of getting shares/instruments below the specified price is rewarded by giving more execution orders (which in turn means more brokerage). Similarly, those who consistently underperform in terms of getting favorable rates or miss getting orders executed are relied less upon and are not trusted with critical or voluminous orders. Some market data is sold as delayed data. This comes in about 5 to 15 minutes delayed. Institutions accept these delays because either their trading interest or position in these markets/instruments is not very high or they don t intend to trade in these markets/instruments in the near future. Or, maybe they have subscribed direct services from the exchange that is also providing real-time data through a separate channel and is being monitored by other dealers.

In these entries, we re using another built-in Seam component, redirect, to do the storage and retrieval of the user s target page. The redirect component has other utility methods available, but for our purposes, these two provide exactly the functionality we need. With all this in place, the login behavior of our application is complete. When the user enters the application and requests a restricted page (e.g., by clicking the Add a new gadget link on the home page), he or she will not be authenticated yet, and two things will happen. A notLoggedIn event will be generated, causing the first event handler in components.xml to be triggered, saving the requested page through the redirect component. Then a NotLoggedInException will be thrown, causing our exception handler in pages.xml to be triggered, redirecting the user to the login.xhtml page. Assuming the user successfully authenticates with the login page, a postAuthenticate event will be generated, triggering our second event handler in components.xml. The stored page URL will be retrieved, and the user will be redirected to it.

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After this discussion on the timeliness of market data, you are now in a position to appreciate why the availability of market data to all is important. This is to ensure that one recipient does not have any edge over another in terms of the timeliness of data or its content. The timing of market data is extremely crucial. Traders rely on its timing and accuracy to push through trades worth millions of dollars. Every tick of data coming to them conveys something and means potential opportunity. If market data service providers miss providing some ticks of information or if the tics get delayed, it means loss of trade opportunity for the recipient institution. It is thus highly desirable that the service provider offering the data services provide its direct recipients with a level playing field. This essentially means that no preference must be given to any recipient over another for a particular level of service. Normally market data service providers inform every recipient institution about their various services and levels of service and provide them an equal opportunity to purchase them. Institutions then purchase services depending upon the cost incurred and the benefits they yield. A particular service could have multiple recipient institutions. Market data service providers ensure that no one gets precedence over the other in terms of the quality of service, level of support and communication, timing of data dissemination, data quality, and provision of data backup and recovery. This brings an end to the business topics; in next section, we begin the journey into the network programming world and explain the relevant area that plays an important role in realizing this business case study.

From our regular expression match, the first bracketed term is the device name and the second bracketed term is a whitespace-separated list of values in a given order (which may be platform specific, so watch out) We split up the list of values and assign them to some appropriately named variables Just as we did when we found/created host, so too do we attempt to match against an existing Disk by device name and mount point, creating a new one if none such exists In addition, we have allowed for the total size of the volume to change and so update the database if this is the case Finally, we use our fantastic setter method to create a new usage report.

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