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What did I discover First, most backtest programs have preprogrammed strategies built into the software For example, you could quickly run tests on the moving average crossover strategy for any time period You can also run tests on many other popular strategies When my friend generated the test on the indicators, he didn t include stop losses, so the results were a bit skewed Although all of the indicators resulted in huge gains, the category Maximum Drawdown was rather interesting Maximum Drawdown refers to the point where you had your worst losses In the depths of a market crash, almost all of the indicators had rather large drawdowns My trading friend explained that because we didn t use stop losses, this was to be expected When most people look at the results of a backtest, they immediately look at the Net Profit category And if you saw the final results of our indicator backtest, you d be impressed But the pros might be more interested in Maximum Drawdown, because to them, large drawdowns are unacceptable There was another tidbit: every single indicator beat the buyand-hold strategy over the three-year period Not surprisingly, however, during the last year of the test, when the market went up almost 70 percent in a year, buy-and-hold did just as well as the indicators In addition to not using stop losses, it took some time to agree on the rules Moving Averages were simple: When the 20day crossed over the 50-day, we bought When the 20-day crossed below the 50-day, we sold It was also easy to create rules for MACD: When MACD crossed above the zero line, we bought When MACD crossed below the zero line, we sold But the rules for RSI, Stochastics, and Bollinger Bands were not as clear Just to experiment, we bought when RSI crossed below 30 and sold when it crossed above 70 For Stochastics, we used 20 and 80, although we were aware these were not designed to be actionable trades In case you were curious, Bollinger Bands had the best results, which was probably because the three-year period was so volatile and Bollinger Bands self-adapt in this type of environment.

You can attach a file to either a draft message or to an outgoing message that your script sends without displaying it To attach a file, set the attachments property of the draft window object or the outgoing message object to refer to the file you want to attach

Learning to write T-SQL queries is not a skill you gain overnight. You must overcome many challenges along the way in order to write queries that return the expected results. Hopefully, this chapter will help you avoid three common mistakes. Make sure you always think about NULL, especially when NOT, not equal to, or less than (<>, !=, or <) is part of the WHERE clause. Remember to continue LEFT OUTER JOIN down the OUTER JOIN path. And always check your GROUP BY clause to make sure that it contains the exact non-aggregate expressions and columns from the SELECT list and ORDER BY clause.

Kathi Kellenberger is a database administrator for Bryan Cave LLP, an international law firm headquartered in St. Louis, Missouri. She is coauthor of Professional SQL Server 2005 Integration Services (Wrox, 2006) and author of Beginning T-SQL 2008 (Apress, 2009). Kathi speaks about SQL Server for user groups and local events and has presented at PASS, DevTeach/SQLTeach, and SSWUG Virtual Conference. She has written over 25 articles, including her first one for SQL Server Magazine in July 2009. Kathi has been a volunteer for PASS since 2005, winning the PASSion award for her contributions to the organization in 2008.

For example, the following statement attaches the file named HR Infopdf from the Server:Information folder to the draft message referred to by the variable myMessage:

and automatically widen when volatility increases RSI and Moving Averages were nearly tied for second place with huge profits I considered publishing the results of the backtests but didn t think it was fair to include a first-run test Now that the data has been entered into the backtest program, we can continue experimenting Although past results cannot guarantee future profits, testing helps to determine which indicators are best suited for the current, and future, market environment

Starting with SQL Server 2005, Microsoft added built-in support for XML Query Language (XQuery). XQuery allows you to query your XML (Extensible Markup Language) data using a simple, yet powerful, path-style syntax. XQuery support makes it easy to Retrieve XML elements from XML content Extract scalar values from XML data Check for the existence of elements or values in XML data Modify your XML data via XML Data Manipulation Language (XML DML) extensions

SQL Server 2008 includes XQuery support with some slight improvements over the SQL Server 2005 release. This chapter is designed as an introduction to the XQuery functionality available in SQL Server. In this chapter we will assume little or no