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to put it into practice really meant to anticipate probabilities It took me a long time to learn to trade on those lines If you have time, watch the movie Wall Street (1987), or its sequel (2010), for more lessons Don t forget that doing the opposite of the crowd is often the right move, especially at extremes Also, remember that the market goes up more than it goes down If you have any doubts about your position, take a small loss now before it turns into a more painful loss later Often the market gives you a second chance to get out Sell while you still can Let your winners keep winning Sometimes you have to grit your teeth and wait, doing the opposite of what you feel Other times you have to take immediate action I hope this helps Good luck and stay calm

SELECT p.SalesPersonID, o.SalesOrderID, o.OrderDate FROM Sales.SalesPerson p LEFT JOIN Sales.SalesOrderHeader o ON o.SalesPersonID = p.SalesPersonID AND o.OrderDate < '20020101';

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For an INNER JOIN, this would be simple, and we d probably have put the OrderDate predicate in the WHERE clause. But for an OUTER JOIN, this is different.

The purpose of this book is to help you learn all about market indicators Nevertheless, I have left one question unanswered: Can indicators really predict what the market will do next

Often when we write an OUTER JOIN, we start with an INNER JOIN and then change the keyword to use LEFT instead of INNER (in fact, we probably leave out the word INNER). Making an OUTER JOIN from an INNER JOIN is done so that, for example, the salespeople who haven t made sales don t get filtered out. If that OrderDate predicate was in the WHERE clause, merely changing INNER JOIN to LEFT JOIN wouldn t have done the job. Consider the case of AdventureWorks SalesPerson 290, whose first sale was in 2003. A LEFT JOIN without the OrderDate predicate would include this salesperson, but then all the rows for that salesperson would be filtered out by the WHERE clause. This wouldn t be correct if we were intending to keep all the salespeople. Consider also the case of a salesperson with no sales. That person would be included in the results of the FROM clause (with NULL for the Sales.SalesOrderHeader columns), but then would also be filtered out by the WHERE clause. The answer is to use ON clause predicates to define what constitutes a valid match, as we have in our code segment above. This means that the filtering is done before the NULLs are inserted for salespeople without matches, and our result is correct. I understand that it may seem strange to have a predicate in an ON clause that involves only one side of the JOIN, but when you understand what s being filtered (rows with WHERE, groups with HAVING, and matches with ON), it should feel comfortable.

The name you want to give the account for example, Hotmail Plus An integer giving the unique ID number for the account within Entourage This property is read-only The name you re using as your full name on Hotmail Your Hotmail address Your Windows Live Hotmail ID Your Windows Live Hotmail password true to include this account when sending and receiving all mail; false to exclude it true to save sent items on the server; false to save them on your Mac Text giving any extra headers you want to add to messages you send none to use no signature; random to use a random signature; other to use a signature specified by the default signature choice property The signature to use when the default signature type property is set to other

To understand the FROM clause, it s worth appreciating the power of the query optimizer. In this final part of the chapter, we'll examine four uses of JOINs. We ll then see how your query can be impacted if all these uses are made redundant.