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It is not compulsory that all indexes are multiplied by 100, though; it depends upon the calculation used from index to index If the index adds 100 points in one day and moves from 4,000 to 4,100, it means that the relative market capitalization has gone up from 40 times to 41 times In other words, it means the market has added the kind of worth in one day that is equal to its total worth during the base year The base year that is chosen for computing the index whose market capitalization is used as a benchmark is one where the markets were relatively stable and were not characterized by a bull or bear run The average market capitalization is public domain information and can be calculated/obtained from the exchange/index owner.

<inject bean="InitialContextProperties"/> </property> </bean> <bean name="GadgetDS" class="java.lang.Object"> <constructor factoryMethod="getDatasource"> <factory bean="GadgetDSBootstrap"/> </constructor> </bean> </deployment>

Aside from actual files, there are a number of directory operations you might wish to perform with one-liners. For example, this will create a list of all the C source files in a directory whose size is bigger than 1KB and sort them by modification time: ruby -e 'puts Dir["*.c"].find{|f| File.size(f) > 1024}.sort{|f1,f2| File.mtime(f1) <=> File.mtime(f2)}'

Since market capitalization uses the current market prices of stocks and these prices change every second, the index changes every second With the previous formula of the index and all other factors being constant, you can now compute the effect of change in an index with a change of prices in any security dollar by dollar..

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The server and client code shown in Listing 4-11 and Listing 4-12 requires the host to be connected in a network, because the broadcast is a feature supported by the underlying network. Listing 4-11. Unsolicited Broadcast of Market Data using using using using System; System.Net.Sockets; System.Net; System.Text;

The properties and attributes that you will likely have to change to suit your database are highlighted in bold in the preceding listing. The first bean entry in the file, with its name set to GadgetDSBootstrap , defines a bootstrap service that will initialize the DataSource at runtime. The second bean, with its name set to GadgetDS , actually puts the entry into the JNDI runtime services of the application server. The name of the bootstrap bean ( GadgetDSBootstrap in the preceding example) needs to match the name of the bean referenced in the constructor factory element of the second bean. Also, the name of the second bean ( GadgetDS in this example) needs to match the JNDI name you give to the DataSource in the bootstrap configuration. This is set in the jndiName property ( java:/GadgetDS in this example).

Note that this line is a little longer and a little less efficient than it needs to be. One oftoverlooked method available to Array (as it mixes in Enumerable) is sort_by. This allows you to generate a key for each object in the collection and then have that collection sorted based on the standard comparison of those keys. In the Perl world, this is referred to as the Schwarzian transform and it works like this: ruby -e 'puts Dir["*.c"].find{|f| File.size(f) > 1024}.sort_by{|f| File.mtime(f)}' The added efficiency comes from the fact that we only ever interrogate each file s modified time once to generate the key. Since all the keys are generated before sorting commences, this approach can be unacceptably memory hungry for large collections. As usual, it s a balance of memory and time.

namespace UnSolicitedBcastServer { class MDP { [STAThread] static void Main(string[] args) { Console.WriteLine("Market-Data Producer Service Started (Unsolicited Broadcast)"); string mktPrice = "MSFT;25,IBM;24"; Socket mdpSocket = new Socket(AddressFamily.InterNetwork,SocketType.Dgram,ProtocolType.Udp); //Broadcast IP address IPEndPoint bcastEndPoint = new IPEndPoint(IPAddress.Broadcast,30001); //Set socket in broadcast mode mdpSocket.SetSocketOption( SocketOptionLevel.Socket,SocketOptionName.Broadcast, 1); byte[] sendBuffer = new byte[512]; sendBuffer = Encoding.ASCII.GetBytes(mktPrice); mdpSocket.SendTo(sendBuffer,bcastEndPoint); mdpSocket.Close(); Console.WriteLine("Market Data Broadcasted"); Console.ReadLine(); } } }

In Listing 4-11, the code introduces two important changes. The first visible change is that a list of recipient endpoint information is missing; it is replaced by a broadcast address. This broadcast address is readily made available by IPAddress.Broadcast, and the port number assigned is 30001. The next important line of code is SetSocketOption. This method turns on or off some very lowlevel options of network protocols that are not directly exposed in the form of a property or method. We discuss the possible options supported by this method later in the Protocol Tweaking section. Currently, using SetSocketOption, we have enabled the broadcast support that is by default disabled on the socket. After applying this change, the rest of the code looks familiar and requires no further explanation. The next step is to build the market data consumer that consumes market data published on the broadcast address. The code shown in Listing 4-12 achieves this. Listing 4-12. Client Receiving Broadcast Message using using using using System; System.Net.Sockets; System.Net; System.Text;

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