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    <title>topic stock price Run-up in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/stock-price-Run-up/m-p/204145#M2750</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi folks&lt;/P&gt;&lt;P&gt;does anybody have the codes for calculating 1 year or 6 month daily stock price run-up ?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Wed, 18 Mar 2015 04:52:46 GMT</pubDate>
    <dc:creator>Lenon</dc:creator>
    <dc:date>2015-03-18T04:52:46Z</dc:date>
    <item>
      <title>stock price Run-up</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/stock-price-Run-up/m-p/204145#M2750</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi folks&lt;/P&gt;&lt;P&gt;does anybody have the codes for calculating 1 year or 6 month daily stock price run-up ?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 18 Mar 2015 04:52:46 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/stock-price-Run-up/m-p/204145#M2750</guid>
      <dc:creator>Lenon</dc:creator>
      <dc:date>2015-03-18T04:52:46Z</dc:date>
    </item>
    <item>
      <title>Re: stock price Run-up</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/stock-price-Run-up/m-p/204146#M2751</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Lenon,&lt;/P&gt;&lt;P&gt;Below a data mining approach that you might want to try. If you want to go into time series analysis, you probably more about it than I do! It's been a while...&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Data mining approach&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;Back in the day in grad school at the &lt;A href="http://analytics.ncsu.edu/?page_id=2" title="http://analytics.ncsu.edu/?page_id=2"&gt;Institute for Advanced Analytics&lt;/A&gt; one of our teachers described a really neat idea:&lt;/P&gt;&lt;P&gt;Use a linear regression procedure to output the parameter estimates (betas) of a trend for a 1-day, 2-day, 3-day, and nth-day prediction (or hour for that matter). Then use those betas as inputs for a predictive model that predicts the nth+1 beta. If the nth+1 beta is positive then you have a positive run-up that is quantifiable in terms of both the magnitude and also the accuracy coming out of your best predictive model.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; [If someone knows the formal name of this technique, please comment about it! really interested!!!]&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Lenon, give it a try with this approach. If you run into trouble, happy to dig up that code or try to reproduce it.&lt;/P&gt;&lt;P&gt;Good luck!&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Miguel&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 20 Mar 2015 04:17:49 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/stock-price-Run-up/m-p/204146#M2751</guid>
      <dc:creator>M_Maldonado</dc:creator>
      <dc:date>2015-03-20T04:17:49Z</dc:date>
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