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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>On-Line Portfolio Selection with Moving Average Reversion · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1206.4626/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1206.4626/feed.xml" rel="self" type="application/rss+xml" /><item><title>On-Line Portfolio Selection with Moving Average Reversion — mentioned by twiecki</title><link>https://news.ycombinator.com/item?id=5438248</link><guid isPermaLink="false">urn:hackerpapers:mention:1206.4626:5438248</guid><pubDate>Mon, 25 Mar 2013 17:22:33 GMT</pubDate><description>&lt;p&gt;Certainly that&amp;#x27;s always a risk. Zipline does however support simulating transaction-costs and slippage so those will be accounted for (as best as possible). As for market-paradigm shifts, I totally agree. One way to deal with that is to constantly re-optimize the parameters based on recent data. This is also known as walk-forward optimization on which there is a slide at the very end (see http://blog.quantopian.com/parameter-optimization/ for a more information). Finally, as to running multiple strategies with different parameter settings. The OLMAR paper that describes the algorithm…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1206.4626/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CE</category></item></channel></rss>
