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Showing posts with label HFT. Show all posts
Showing posts with label HFT. Show all posts

Aug 23, 2013

No trades busting: If the code is bad then you pay the price. No Mulligan.

traders should bear the full cost of their mistakes. 
If the code is bad then you pay the price. No Mulligan.
CNBC.com Article: Guess who just called for ending trades busting?
Myron Scholes, one of the founders of modern option pricing, says the exchanges shouldn't cancel clearly erroneous trades. The traders should bear the full cost of their mistakes.
Full Story:
http://www.cnbc.com/id/100982306
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Apr 29, 2011

FT Alphaville » If algos can mis-value a book by $23.7m…

If algos can mis-value a book by $23.7m…


… how might they be mis-valuing equities?
So asks Themis Trading on Tuesday after discovering this curio of a story from CNN about algo-bots gone wild on Amazon.
The story relates to the listing of a book called “The Making of a Fly” by Peter Lawrence on Amazon.com on April 18 for no less than $23,698,655.93 (plus shipping) — seemingly the result of an algo price war.
The price anomaly itself was unearthed by Michael Eisen, an evolutionary biologist and blogger, who logically observed this couldn’t be a one off situation.
As he noted on his blog:
What’s fascinating about all this is both the seemingly endless possibilities for both chaos and mischief. It seems impossible that we stumbled onto the only example of this kind of upward pricing spiral – all it took were two sellers adjusting their prices in response to each other by factors whose products were greater than 1. And while it might have been more difficult to deconstruct, one can easily see how even more bizarre things could happen when more than two sellers are in the game. And as soon as it was clear what was going on here, I and the people I talked to about this couldn’t help but start thinking about ways to exploit our ability to predict how others would price their books down to the 5th significant digit – especially when they were clearly not paying careful attention to what their algorithms were doing.
Cue in-depth analysis of third party vendors providing pricing algorithms for independent traders on Amazon and Ebay.
As CNN points out, individual booksellers on Amazon and other sites pay such companies for services which automatically update prices. Some work very well, “getting sellers up to 60 per cent more sales because they underbid the competition automatically and repeatedly”.
Some, as the case above illustrates, lose touch with reality altogether.
Now, as Themis Trading points out, all of this does bear an uncanny resemblance to what’s going on in financial markets thanks to the algo strategies deployed by high frequency traders.
These sorts of algos, after all, are equally prone to losing touch with the fair value of the equities they are pricing, as the notorious flash-crash of May 6 proves. Now, if you keep the parallel going, that means the example of the $23.7m fly book is nothing more than Amazon’s own equivalent of a market flash or dash.
As Themis’ Sal Arnuk observes:
So, now we have Flash Crashes and Flash Dashes outside the stock market! Is everything being priced in the universe today, not with forethought, but rather as some relation to another price, which in turn is set in relation to yet another price? All without human intervention? Is this wise? Is anyone doing the thinking? Is anyone doing “the work” in our stock markets, as well as on AMAZON? On the eve of the May 6th Flash Crash, perhaps it is wise to think about that question.
Of course, while most ‘flash crash day’ trades were cancelled in the end, we wonder how many Amazon buyers who realise they’ve been had via algo mispricing end up cancelling their trades. And how often it happens.
Secondly, does this make Amazon and Ebay the dark pools of the retail sector, with John “never knowingly undersold” Lewis the equivalent of a market exchange?
And last – is it time for a retail versus financial market structure comparison diagram? We think yes



FT Alphaville » If algos can mis-value a book by $23.7m…

Mar 21, 2011

A Million HFT Algos Cry Out In Terror And Are Silenced in Citi 1 For 10 Stock Split

 A Million HFT Algos Suddenly Cry Out In Terror And Are Suddenly Silenced As Citi Announces 1 For 10 Reverse Stock Split
Tyler Durden

zero hedge

March 21, 2011 13:19: CET


While the wacky desperation antics of America's nationalized bank (that would be Citigroup for the cheap seats) enter the surreal zone, after the bank just announced a 1 for 10 reserve stock split (finally returning the stock price to Al Waleed's cost basis, if not entrance market cap) and a 1 cent dividend (which effectively means the Fed can now exit the prop each failing bank game... but won't), the bigger question is what happens to the momentum algos that traditionally traded 500 million shares of Citi stock, providing a supporting base for the market courtesy of massive momentum surges that provided a buying feedback loop mechanism driven out of pure churn volume. Those days are now over, as the volume will plunge pro rata from half a billion to a measly 50 million shares. Furthermore, with algos receiving liquidity rebates on a volume basis, it is conceivable that the biggest piggy bank to the 3 man Ph.D. HFT operations is about to break, as exchanges cut their rebate payouts by 90%. And with the stock market these days being far more a function of volume churn than technicals or, heaven forbid, fundamentals, what happens with the natural HFT support to the market is anyone's guess. One simple assumption: the next time the S&P does a May 6, or a USDJPY flash crash, the liquidity providers will pull out that much faster, leading to a massive freefall without any of the foreplay.

Mar 19, 2011

Ex-Goldman programmer gets 8 years for code theft | Reuters

Ex-Goldman programmer gets 8 years for code theft

6:50pm EDT
By Grant McCool
NEW YORK (Reuters) - A former Goldman Sachs Group Inc (GS.N: Quote, Profile, Research, Stock Buzz) computer programer was sentenced to eight years in prison on Friday for stealing secret code used in the Wall Street bank's valuable high-frequency trading system.
Sergey Aleynikov, was arrested by the FBI and charged in July 2009 with copying and removing trading code from Goldman before taking a new job at Teza Technologies LLC, a high-frequency trading startup firm in Chicago.
A onetime collegiate-level competitive ballroom dancer, Aleynikov, 41, was convicted of trade secrets theft and transporting stolen property across state lines on December 10 after a two-week long jury trial in Manhattan federal court.
High-frequency, computer-driven trading has become an important and competitive business. The software codes that trade shares in milliseconds are closely guarded secrets.
"I very much regret the foolish thing of downloading information," the Russian-born father of three said at his sentencing on Friday. "Part of this information was proprietary to Goldman. I never meant to cause Goldman any harm or harm anyone at the bank."
Aleynikov's words fell short of U.S. District Judge Denise Cote's hopes for "an open and honest statement of responsibility" for his criminal conduct.
"You did not do that," said Cote, imposing a sentence of 97 months that was within the eight to 10 years recommended by the government. Cote also fined him $12,500.
Aleynikov's lawyer, Kevin Marino, had originally asked for a sentence of probation but in court on Friday he suggested two years was adequate for what he called Aleynikov's "foolish, tragic, horrible, ridiculous mistake."
Aleynikov has the right to appeal the sentence. His defense lawyers have argued that the matter belonged in civil, not criminal court.
U.S. prosecutor Joseph Facciponti said the stolen code was Aleynikov's "golden ticket" to Teza and "he stood to make millions more" there than he did at the bank. Facciponti said Aleynikov spent several months planning his move, eventually transferring 500,000 lines of Goldman Sachs source code to an outside server.
Cote had revoked the bail of Aleynikov, a dual citizen of the United States and Russia, on the grounds that there was a risk of him fleeing before sentencing.
Throughout the trial and sentencing phase, many comparisons were made with a similar case in the same courthouse against a former Societe Generale (SOGN.PA: Quote, Profile, Research, Stock Buzz) trader, Samarth Agrawal.
The citizen of India was found guilty by a jury last November of stealing high-frequency trading code from the French bank before going to a new job. On February 28, a judge sentenced him to three years in prison and he will be deported when he completes his sentence.
The case is USA v Aleynikov, U.S. District Court for the Southern District of New York, No. 10-00096.
(Reporting by Grant McCool; Editing by Tim Dobbyn)

Ex-Goldman programmer gets 8 years for code theft | Reuters: "Ex-Goldman programmer gets 8 years for code theft

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Nov 18, 2010

GM Breaks For Trading

from zerohedge.com

GM Breaks For Trading

Links:
[1] http://www.zerohedge.com/sites/default/files/images/user5/imageroot/gono/GM.png

GM Breaks For Trading

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Oct 3, 2010

On Tomorrow's Secret Meeting To Plot The End Of High Frequency Trading | zero hedge

On Tomorrow's Secret Meeting To Plot The End Of High Frequency Trading



On Tomorrow's Secret Meeting To Plot The End Of High Frequency Trading | zero hedge



Sep 3, 2010

Financial Times: High-frequency trading: Up against a bandsaw

May 24 2010 4:51 PM GMT
High-frequency trading: Up against a bandsaw
--
By Jeremy Grant
--
The global spread of high-frequency trading

Read the full article at: http://www.ft.com/cms/s/0/ec822fb4-366d-11df-8151-00144feabdc0.html



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Sep 2, 2010

- Manila exchange glitches puzzle brokers - FT.com / FT Trading Room

Manila exchange glitches puzzle brokers

By Roel Landingin in Manila

Published: September 1 2010 17:02 | Last updated: September 1 2010 17:02

The Philippine Stock Exchange describes it as “birth pains”. But market participants in Manila have been scratching their heads after the exchange’s new trading and market data system reported an erroneous 15 per cent jump in the PSE main index – instead of the correct 0.63 per cent when the system was rolled out on July 26.

It promptly issued advisories for investors to ignore the index numbers on its website.

In the past week, the exchange has again issued similar advisories on two occasions: on August 27 and 31. In a statement released on Tuesday the PSE said it had moved the location of its back-office servers over the weekend. “The server shift has affected the accessibility of index statistics on the website,” it said, without elaborating. The PSE has not responded to emails requesting clarity and more details.

Exchange officials insist the glitches are minor and have not affected trading at all. Some brokers beg to disagree. “We are experiencing more downtimes now. We’ve had three last week,” said Joey Roxas, a long-time Manila stock broker. He also complained that the stock exchange’s website has been going down more often of late, interrupting public access to potentially market-moving disclosures by listed firms.

It is not clear if the disruptions are all due to the adoption of new trading system, which the PSE has acquired from NYSE Technologies. But they are adding to brokers’ concerns about replacing the old trading system that has been in use for 15 years.

Mr Roxas said many brokers complain that the new system’s menu for entering orders occupies a smaller window on the computer monitor and requires more keystrokes.

He added that many are grumbling that their concerns are not being addressed by an exchange board whose members are mostly no longer stockbrokers.

Still, the technical disruptions have not stopped the local stock market from soaring on the back of strong corporate profits and faster economic growth. Weeks after the shift to the new trading, the PSE index rose to a 31-month high on August 20 when it closed at 3,593.60 points. It ended at 3,593.41 points on Wednesday.

The PSE’s programmers and engineers are hard at work to fix the computer glitches. Exchange officials will need to work harder to repair ties with the stock brokers.


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