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These bands are sometimes used to predict the value of a stock based on a projection of its future value based on its past behavior. A typical rule is to buy the stock when it penetrates the lower band moving upward or when it bounces off the lower band, and to sell it when it penetrates the upper band moving downward or when it bounces off the upper band. Consider Figure 11-20; if a trader were using this technique, they would have bought MSFT stock in October 2005 at about 24 per share when it penetrated the lower line moving upward and would have sold it when it hit the top line about four weeks later at 25.50. More aggressive traders may have waited until the reverse trailing upper line caught up with the stock (this is called momentum tracking) and then sold it in mid-November at the point where it bounced off the upper line moving downward, selling at around 28 and making a nice profit. It s a useful methodology for assessing the value of a stock, and as such this application includes a Bollinger band graph. Implementation-wise it is identical to that used for the price history graph. A web form called PHBB.aspx hosts a ZedGraph control. This form accepts the stock ticker and number of days parameters in the same manner as earlier. Instead of adding a single curve to the chart, you add three curves: the price history, the upper Bollinger band, and the lower Bollinger band. Listing 11-3 shows the code to do all this. Listing 11-3. Generating Bollinger Band Analytics int nDays = 0; int nRows = 0; GraphPane pane = mPane[0];

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Listing 8-6 Last, but Not Least, RuleInvoke [RuleInvoke("SetRequisitionTotal")] private void UpdateRequisitionDetails(int iReqID) { // do some processing to determine discount percentage here SetRequisitionTotal(iReqID, iDiscountPercent); } [RuleWrite("RequisitionValue")] private void SetRequisitionTotal(int iReqID, int iDiscountPercent) { // do some processing here } Explicit Dependencies Explicit dependencies are identified by use of an Update statement, which is added directly to a rule in the Rule Set Editor, as shown in Listing 8-7 Listing 8-7 Using the Update Statement for Explicit Identification of Dependencies If a>3 then Some_External_Method(b) Update(b) As mentioned previously, this only comes into play when you can t modify the invoked method for some reason Using the Update statement to explicitly identify a dependency should be pretty rare Most of the time, dependencies will be handled implicitly In cases where we use methods in our rules, attribute-based identification should suffice.

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Console.WriteLine("s2: Console.WriteLine("s3: Console.WriteLine("s4: Console.WriteLine("s5: Console.WriteLine("s6: {0} {0} {0} {0} {0} [{1}]", [{1}]", [{1}]", [{1}]", [{1}]", s2.Length, s3.Length, s4.Length, s5.Length, s6.Length, s2); s3); s4); s5); s6);

The Indigo connector provides transport-independent support for messagebased, service-oriented applications. Recall 2, where I discussed WSDL elements such as ports and bindings. These elements play an important role in the Indigo connector because they govern how services provide endpoints for message requests. The three most important Indigo connector elements are Ports: These provide URI-accessible endpoints for delivering messages to a service. Transport channels: These provide a way to deliver messages, and they are based on established protocols, including HTTP, TCP, and IPC. Message channels: These channels operate in conjunction with the transport channels, and provide additional message delivery support, including reliable message delivery. Security support for message-oriented communications is provided throughout the Indigo framework, including within the Indigo connector. Indigo provides three types of security support for messages: Session-based security: Session-based support uses an on-demand session key to provide encryption and digital signatures. This mode closely follows the approach taken by the WS-Secure Conversation specification, which is discussed in detail in 8.

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