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	<title>The IF Blog &#187; Credit Suisse</title>
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	<description>We uncover change...</description>
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		<title>Algorithms Gone Wild</title>
		<link>http://inferentialfocus.com/blog/2010/02/11/algorithms-gone-wild/</link>
		<comments>http://inferentialfocus.com/blog/2010/02/11/algorithms-gone-wild/#comments</comments>
		<pubDate>Thu, 11 Feb 2010 14:17:44 +0000</pubDate>
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				<category><![CDATA[Algorithms]]></category>
		<category><![CDATA[Credit Suisse]]></category>

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		<description><![CDATA[Is Hal, the infamous take-control computer in “2001: A Space Odyssey” taking over the stock exchange?  It’s clear someone’s yielding control to something with unknown capabilities. The New York Stock Exchange fined Credit Suisse $150,000 for failing to supervise one of its trading algorithms after the program halted traffic at five different trading posts on [...]]]></description>
			<content:encoded><![CDATA[<p>Is Hal, the infamous  take-control computer in “2001: A Space Odyssey” taking over the stock  exchange?  It’s clear someone’s yielding control to something with unknown  capabilities.</p>
<p>The New York Stock Exchange  fined Credit Suisse $150,000 for failing to supervise one of its trading  algorithms after the program halted traffic at five different trading posts on  the NYSE and delayed the day’s closing at the posts for nearly half an hour.  It  was the first time the stock exchange has disciplined a firm for algorithm  infractions.  (<em>Wall Street  Journal</em>, 1/13/10)</p>
<p>Algorithms are becoming  more prevalent as companies attempt to understand and manipulate the tremendous  amounts of available data.  Wall Street firms have been leading the charge,  creating algorithms in order to gain a trading advantage.  These algorithms  trigger automatic trading actions and reactions that can have a chaotic market  impact creating instability and unforeseen consequences.  While this time it was  only a delayed closing, Credit Suisse’s &#8220;algorithm gone wild&#8221; is likely to be  the first of many unseen risks to come from dependence on computer  formulas.</p>
<p>Eric  Zavolinsky</p>
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