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closed out at the end of the day So when you look at traditional volume indicators, you have no idea what you are looking at anymore You look at some of the volume indicators and the volume you see is skewed Sincere: What should traders do Gilani: That s a great question, but right now I don t have the answer As for me, I look at the big-picture volume and not individual stock volume Now there is a lack of depth in the quotes, what bids and offers people are willing to line up and buy and sell for, and more importantly, how many shares are displayed in their quotes Sincere: When did the rules change Gilani: I believe that decimalization was the first mistake (when the bid and ask rules were changed from fractions to decimals) Decimalization gave an increased advantage to the specialists, market makers, and traders Before decimalization, if a specialist wanted to step up ahead of an order, he had to risk an eighth He d have to pay twelve and a half cents for that risk Now he can step ahead of an order and only risk a penny As a result, specialists and market makers are taking more positions ahead of customer orders by stepping in front of them, which is advantageous for them because if their bet doesn t work out, they turn around and, for only a penny loss, dump their position for less risk This has created more volatility, not because the spreads have narrowed but because the unintended consequence of narrowing spreads to reduce transaction costs for investors resulted in more trading opportunities for pros Now, many investors are afraid to put down large orders because they may get slammed So they re putting in 100 shares or 1,000 shares Sincere: How did HFT get so powerful Gilani: It started with the advent of public display electronic communication networks (ECNs), and the proliferation of private trading networks Years ago, I thought that if someone could create a computer system that could bring all these disparate quotes from all the different trading venues together to get a master quote, that person could game the system And that s exactly what has happened High-frequency.
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(719)
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where should be selected small enough so that u(t) can be considered constant over each interval of length Over each one second interval, using the results of Section 353, the matrix is accumulated as ( i+1 , 0 ) = ( i+1 , i ) ( i , 0 ) (720)
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with k 1 = ( N , 0 ) and ( 0 , 0 ) = I The Qd matrix can be computed by various methods, as discussed in Section 472 Due to F being a function of the time varying signal u(t), we choose to compute Qd by numeric integration of eqn (4110) Over each one second interval, the Qdk 1 matrix is accumulated according to Q( i , 0 ) = ( i , i 1 )Q( i 1 , 0 ) ( i , i 1 ) + GQ G for i = 1, , N with Qdk 1 = Q( N , 0 ) and Q( 0 , 0 ) = 0, where Q = diag
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traders have programmed their computers to track and trade off of all that information flow They are getting all of the data from all these exchanges as fast as they can get it It might have cost some of them $100 million to do it, but they can make that money back in less than a month Sincere: So it s all about reading order flow Gilani: Exactly For some time, trading venues have been paying for order flow that once went to the big market makers and specialists The more order flow, the more orders, and the more liquidity a venue can provide It all adds up to more fees But the advantage of order flow is you have the inside track High-frequency traders now have an inside track into order flow and are using it to their advantage Sincere: Is HFT the root of all of these problems Gilani: Not completely There are also the flash traders, who along with high-frequency traders, turned off their computers and helped cause the May 2010 Flash Crash Flash traders are not always the same as high-frequency traders, though plenty of high-frequency traders use flash technology Flash traders use a pinging methodology to determine the depth of the market They are pinging around to all these venues looking for the best bid and offer and then actually putting down orders behind those bids and offers to see if they can attract more volume to the bids and offers ahead of them They are using their computers to instantaneously probe order flow and to set up other computers to see what they want them to see, often to make them execute their orders It happens so fast Then they will pull their bids and offers within nanoseconds, either having executed an advantageous trade or leaving other traders holding the bag Sincere: Is that what happened during the 2010 Flash Crash Gilani: Exactly In the Flash Crash, stocks went from $40, $60, or whatever, to basically $0 That never could have happened in the old days when the specialist and market makers were responsible for keeping fair and orderly markets That would have been impossible We re definitely in uncharted territory now On the surface, high-frequency trades look like.
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