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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Deep Learning for Limit Order Books · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1601.01987/</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/1601.01987/feed.xml" rel="self" type="application/rss+xml" /><item><title>Deep Learning for Limit Order Books — mentioned by eucitizen</title><link>https://news.ycombinator.com/item?id=17480620</link><guid isPermaLink="false">urn:hackerpapers:mention:1601.01987:17480620</guid><pubDate>Sat, 07 Jul 2018 21:15:05 GMT</pubDate><description>&lt;p&gt;flask + postgres + keras - it’s rather easy to train models based of arxiv research papers. eg i trained a model using this method (https://arxiv.org/abs/1601.01987) and trade fairly frequently on minuscule amounts using the kraken (cryptocurrency exchange) api.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1601.01987/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>q-fin.TR</category></item></channel></rss>
