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COMPUTERIZED FRONT RUNNING: ANOTHER GOLDMAN-DOMINATED FRAUD

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Ellen Brown
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Flash Trades: How the Game Is Rigged

An integral component of computerized front running is a dubious practice called "flash trades." Flash orders are permitted by a regulatory loophole that allows exchanges to show orders to some traders ahead of others for a fee. At one time, the NYSE allowed specialists to benefit from an advance look at incoming orders; but it has now replaced that practice with a "level playing field" policy that gives all investors equal access to all price quotes. Some ATSs, however, which are hotly competing with the established exchanges for business, have adopted the use of flash trades to pull trading business away from the exchanges. An incoming order is revealed (or flashed) to a trader for a fraction of a second before being sent to the national market system. If the trader can match the best bid or offer in the system, he can then pick up that order before the rest of the market sees it.

The flash peek reveals the trade coming in but not the limit price the maximum price at which the buyer or seller is willing to trade. This is what the HFT program figures out, and it is what gives the high-frequency trader the same sort of inside information available to the traditional market maker: he now gets to peek at the other player's cards. That means high-frequency traders can do more than just skim hefty profits from other investors. They can actually manipulate markets.

How this is done was explained by Karl Denninger in an insightful post on Seeking Alpha in July 2009:

"Let's say that there is a buyer willing to buy 100,000 shares of BRCM with a limit price of $26.40. That is, the buyer will accept any price up to $26.40. But the market at this particular moment in time is at $26.10, or thirty cents lower.

"So the computers, having detected via their "flash orders' (which ought to be illegal) that there is a desire for Broadcom shares, start to issue tiny (typically 100 share lots) "immediate or cancel' orders - IOCs - to sell at $26.20. If that order is "eaten' the computer then issues an order at $26.25, then $26.30, then $26.35, then $26.40. When it tries $26.45 it gets no bite and the order is immediately canceled.

"Now the flush of supply comes at, big coincidence, $26.39, and the claim is made that the market has become "more efficient.'

"Nonsense; there was no "real seller' at any of these prices! This pattern of offering was intended to do one and only one thing -- manipulate the market by discovering what is supposed to be a hidden piece of information -- the other side's limit price!

"With normal order queues and flows the person with the limit order would see the offer at $26.20 and might drop his limit. But the computers are so fast that unless you own one of the same speed you have no chance to do this -- your order is immediately "raped' at the full limit price! . . . [Y]ou got screwed for 29 cents per share which was quite literally stolen by the HFT firms that probed your book before you could detect the activity, determined your maximum price, and then sold to you as close to your maximum price as was possible."

The ostensible justification for high-frequency programs is that they "improve liquidity," but Denninger says, "Hogwash. They have turned the market into a rigged game where institutional orders (that's you, Mr. and Mrs. Joe Public, when you buy or sell mutual funds!) are routinely screwed for the benefit of a few major international banks."

In fact, high-frequency traders may be removing liquidity from the market. So argues John Daly in the U.K. Globe and Mail, citing Thomas Caldwell, CEO of Caldwell Securities Ltd.:

"Large institutional investors know that if they start trying to push through a large block of shares at a certain price even if the block is broken into many small trades on several ATSs and markets -- they can trigger a flood of high-frequency orders that immediately move market prices to the institution's disadvantage. . . . That's why institutions have flocked to so-called dark pools operated by ATSs such as Instinet, and individual dealers like Goldman Sachs. The pools allow traders to offer prices without publicly revealing their identities and tipping their hand."

Because these large, dark pools are opaque to other investors and to regulators, they inhibit the free and fair trade that depends on open and transparent auction markets to work.

The Notorious Market-Rigging Ringleader, Goldman Sachs

Tyler Durden, writing on Zero Hedge, notes that the HFT game is dominated by Goldman Sachs, which he calls "a hedge fund in all but FDIC backing." Goldman was an investment bank until the fall of 2008, when it became a commercial bank overnight in order to capitalize on federal bailout benefits, including virtually interest-free money from the Fed that it can use to speculate on the opaque ATS exchanges where markets are manipulated and controlled.

Unlike the NYSE, which is open only from 10 am to 4 pm EST daily, ATSs trade around the clock; and they are particularly busy when the NYSE is closed, when stocks are thinly traded and easily manipulated. Tyler Durden writes:

"[A]s the market keeps going up day in and day out, regardless of the deteriorating economic conditions, it is just these HFT's that determine the overall market direction, usually without fundamental or technical reason. And based on a few lines of code, retail investors get suckered into a rising market that has nothing to do with green shoots or some Chinese firms buying a few hundred extra Intel servers: HFTs are merely perpetuating the same ponzi market mythology last seen in the Madoff case, but on a massively larger scale."

HFT rigging helps explain how Goldman Sachs earned at least $100 million per day from its trading division, day after day, on 116 out of 194 trading days through the end of September 2009. It's like taking candy from a baby, when you can see the other players' cards.

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Ellen Brown is an attorney, founder of the Public Banking Institute, and author of twelve books including the best-selling WEB OF DEBT. In THE PUBLIC BANK SOLUTION, her latest book, she explores successful public banking models historically and (more...)
 

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