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sound vehicles, but they are creating more noise disruptions than harmony Sincere: Who are the people behind HFT Gilani: They are mathematicians and computer scientists It s the geeks first and traders second They figured out how to trade on mathematical equations, essentially algorithms that are based on statistical arbitrage and quote and order flow arbitrage that have nothing to do with fundamentals like cash flows, earnings, and dividends They only care about volume and the spread They are quants who have programmed their computers to decipher mathematical relationships before anyone else can figure them out Sincere: Could these kinds of flash crashes happen again Gilani: They will try to put in triggers, but they won t stop it from happening again We were lucky we got a glimpse of it There were no bids during that hour So the system, the NBBO [National Best Bid and Offer], was supposed to find a bid, but it couldn t find any bids How is that possible Now people are even afraid to put in a market stop-loss order because you could buy a stock at $50, put in a stop-loss order to sell it at $45, and discover a print went off at $30 You just sold your stock at $30 Before, in a horrible market, you might have gotten out with a half point loss It s getting ridiculous Many people have lost trust in the markets They think the markets are rigged Sincere: Is there a solution Gilani: I have advocated for a national, centralized place for all of the bids and offers and all quotes from all venues to be centralized There are ways for each venue to be compensated using a global book That would be true liquidity That would be a level playing field It s nice to have competition among all these different venues but not when it affects the capital markets Sincere: Have you had to change the way you look at volume Gilani: Absolutely I ve been forced to use a number of strategies including arbitrage Because it s become an HFT world, I m spending a lot of time and money playing in their sandbox.

Summary

Entourage supports four different types of messaging accounts:

Bill Graziano has been a SQL Server consultant for 10 years, doing production support, performance tuning, and application development. He serves on the board of directors for the Professional Association for SQL Server (PASS), where he serves as the vice president of marketing and sits on the executive committee. He s a regular speaker at conferences and user groups across the country. Bill runs the popular web site http:/ /SQLTeam.com and is currently a SQL Server MVP.

One of my strategies is looking at the spreads between the underlying stocks relative to the actual pricing of ETFs It sounds complicated but it s really not I have to do this because the other volume strategies aren t working The cost to program this data runs into the millions of dollars If I m doing it, you can bet that teams of rocket scientists for all the big trading shops are also doing it It s all wrong The tail is wagging the dog And the dog just happens to be the capital markets that make our economy Sincere: Thanks for sharing your insights

Exchange account An account for accessing a server running Microsoft Exchange IMAP account An account for accessing an Internet Mail Access Protocol (IMAP) server for incoming mail Many ISPs use IMAP servers Apple s MobileMe service uses IMAP servers

When can you ever have a serious query that doesn t involve more than one table Normalization is a wonderful thing and helps ensure that our databases have important characteristics such as integrity. But it also means using JOINs, because it s unlikely that all the data we need to solve our problem occurs in a single table. Almost always, our FROM clause contains several tables. In this chapter, I ll explain some of the deeper, less understood aspects of the FROM clause. I ll start with some of the basics, to make sure we re all on the same page. You re welcome to skip ahead if you re familiar with the finer points of INNER, OUTER, and CROSS. I m often amazed by the fact that developers the world over understand how to write a multi-table query, and yet few understand what they re asking with such a query.

Without JOINs, our FROM clause is incredibly simple. Assuming that we re using only tables (rather than other constructs such as subqueries or functions), JOINs are one of the few ways that we can make our query more complicated. JOINs are part of day one in most database courses, and every day that follows is full of them. They are the simplest mechanism to allow access to data within other tables. We'll cover the three types of JOINs in the sections that follow.