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After reading about sentiment indicators, you may already be thinking differently about the market I hope so, because that was one of the goals of this book After all, many people are surprised that going against the crowd can be profitable Before you learn about the next set of indicators, I d like to formally introduce you to my first guest, recognized economist and author Bernard Baumohl Fortunately, he stopped by to explain how he uses a variety of economic indicators to make market forecasts If you are a trader or investor, it s essential you monitor economic conditions, and Baumohl will show you how

we store these lists in something SQL Server calls a table, logically this is an index helping us to make things go faster. There is no data integrity at stake here.

1 In AppleScript Editor, press z-N or choose File | New to create a new script 2 Type the following repeat with loop:

Comma-separated lists would take up space, as we would have to convert the id:s to strings. This was only a conceptual illustration. It is better to store a list of integer values by putting them in a varbinary(MAX) column. Each integer value then takes up four bytes, just as in the fragments_persons table. To build such a list you need a user-defined aggregate (UDA), a capability that was added in SQL 2005. You cannot write a UDA in T-SQL, but you must implement it in a CLR language such as C#. In SQL 2005, a UDA cannot return more than 8,000 bytes, a restriction that was removed in SQL 2008. Thankfully, in practice this restriction is insignificant, as we can work with the data in batches. In the download archive you can find the files integerlist-2005.cs and integerlist2008.cs with the code for the UDA, as well as the compiled assemblies. The assemblies were loaded by 01_build_database.sql, so all you need to do at this point is to define the UDA as follows:

Baumohl s Favorite Economic Indicators 1 2 3 4 5 6 Institute for Supply Management (ISM) Employment numbers Unemployment rate Payroll surveys Cass Freight Index American Association of Railroads report

CommitBatchSize and CommitBatchThreshold settings are analogous to ReadBatchSize and ReadBatchTheshold. CommitBatchSize refers to the number of transactions that will be sent in a batch to the Subscriber, and CommitBatchThreshold refers to the number of commands. Similar to ReadBatchSize and ReadBatchThreshold, higher

the next value of the myCounter variable: 2

numbers are better, but they will consume more resources on the Subscriber. In some cases the snapshot isolation model can be used to minimize the effect of higher CommitBatchSize and CommitBatchThreshold settings, keeping in mind the added pressure put on tempdb and possible performance problems associated with it. Figure 4 shows the results of 10,000 singleton inserts with varying values of CommitBatchSize and CommitBatchThreshold settings. In figure 4 the y axis is worker time in ms, and the x axis is CommitBatchThreshold. The lower values of worker time are better. As you can see, the best values for CommitBatchSize and CommitBatchThreshold are 1,000 and 1,000. The defaults are CommitBatchSize=100 and CommitBatchThreshold=1,000.

According to many traders and investors, economic indicators not only provide insights on the current state of the economy and where it s been but also offer valuable clues on where it s head-

AppleScript also gives you an easy way to repeat an action for each item in a list This is great when you need to take the same action for each of the items because AppleScript automatically tracks its progress through the list so that you don t have to A loop controlled by a list looks like this:

18000 16000 14000 12000 10000 8000 6000 4000 2000 0 10 100 1000 10000

Figure 4 The effect of worker time with varying settings of CommitBatchSize and CommitBatchThreshold for a workload of 10,000 singleton inserts on the Distribution Agent

AppleScript performs one iteration of the repeat block for each individual item (list_ item) in the list (list_items) The following example creates a list named offices with four entries (Ashland, Cupertino, Mendocino, and Sebastopol) The loop then repeats for each of the office items in the offices list first Ashland, then Cupertino, and so on