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Financial engineers, dealers, and traders require timely and accurate information about the securities they trade in so they can arrive at a proper price for them. Changing market scenarios and world events keep altering perceptions about the value of financial assets, and hence these factors also change their prices. For most financial assets, these changes are so fast that they translate into price changes every second. Every change in price represents an opportunity for dealers to either buy these assets and build more positions or sell these assets and square these positions to book profit or loss. Dealers and traders whose positions run into the millions of dollars pay special attention to these changing scenarios, which could change the prices of assets they hold or intend to trade in. The moment they see a rate favorable to them, they buy the asset and dispose of it when they have reasons to believe that they are overpriced. These perceptions and beliefs that dealers have about financial assets are made possible by the market data available to them (of course, their judgment is also a key contributor) through an exchange trading system or through other third-party market data service providers such as Reuters, Bloomberg, Moneyline Telerate, and so on. Market data can be defined as information that traders need for analysis to make informed trading decisions while trading in a market. Since the scope of this book is equities only, we will cover the market data requirements and associated issues for equities. Going by the definition, you can classify the following information as market data:

Quotes such as bid/offer rates for a particular financial instrument (including stocks, bonds, derivatives, and so on) that is either traded in a market such as an exchange or available for transaction in an interbank or other financial market News such as earnings reports, raw news, senior management speeches, and any other information that could impact the profitability and in turn stock prices Macro- and micro-economic data and related analysis relating to gross domestic product (GDP), gross national product (GNP), employment ratios, import and export figures, fiscal deficit, and other economic data Analyst reports/opinions on stocks, bonds, and other investment instruments News about competitors and related information Market data is normally provided in the form of a broadcast to its subscribed recipients. This broadcast is provided either by exchanges or by third-party market data service providers. The timely receipt of market data is one of the highest priorities for any institution s information technology (IT) and dealing rooms. Stale information could mean delayed action and missed opportunities for the institution; hence, a lot of emphasis is put on obtaining this data on a real-time basis.

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In our login() method, a failed authentication is indicated when our query returns no results. This tells us that the information provided by the user in the login form doesn t match any records in the USER table. We catch the NoResultException thrown by the JPA query and put an appropriate error message into the JSF message list. At the end of the login() method, we determine the success of the authentication by checking to see whether the user property has been set, and then return the appropriate value.

Listing 6-9. A Script to Produce a Report of Disk Deployment Host.find(:all).each do |host| puts "***#{host.name}***" puts host.disks.map do |disk| [disk.mnt_point, disk.dev_name, disk.mb_available].join("\t") end.join("\n") end This chunk of code first grabs every Host out of the database and then iterates through them. Notice how the subiteration through each host s set of disks simply treats disks as an array belonging to host. This is functionality provided by the has_many directive (as was the disks.create construction in Listing 6-8). ActiveRecord provides a whole host of convenience macros like these. For example, suppose we decide that valid device names have to start with /dev/. We can add a regular expression check to that particular field like this: class Disk # previous code validates_format_of :dev_name, :with => /^\/dev\// end With that precaution in place, should anyone try to create a new Disk or update an existing one with a nonconforming device name, such an operation would have no effect and the object itself would track the associated errors. Adding an exclamation point to the create statement as employed in Listing 6-8 will cause an exception to be raised in the event of validation problems. ActiveRecord is way too fully featured to cover in detail in this section, but it has one more style of method that I wish to discuss, as it is yet another good example of metaprogramming in action. Imagine that we wish to calculate the average size of all the root hard disks in the database. In other words, we need to filter out any entries that do not pertain to an mnt_point of /. This would be easy enough in SQL, but ActiveRecord makes it even easier: root_disks = Disk.find_all_by_mnt_point("/") total_size = root_disks.inject { |sum, disk| sum + disk.mb_available } puts "Average root disk size: #{total_size / root_disks.size}"

The following are the participants in the market data industry: Stock exchanges: Stock exchanges are one of the prime generators of market data They constantly broadcast the prevailing rates of all securities traded on that exchange, as well as volume and depth information Most exchanges also provide data about the total number of trades, the number of securities advanced in a day, the number of declines, the total volume of transactions, the total percentage of transactions that resulted in delivery, and so on All this information is useful for traders, analysts, and brokers who have an interest in the securities listed and traded on that stock exchange Most exchanges sell this data either directly or through other market data service providers such as Reuters and Bloomberg This is a major source of revenue for many exchanges.

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