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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest Overfitting · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2209.05559/</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/2209.05559/feed.xml" rel="self" type="application/rss+xml" /><item><title>Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest Overfitting — HN submission</title><link>https://news.ycombinator.com/item?id=34205208</link><guid isPermaLink="false">urn:hackerpapers:submission:2209.05559:34205208</guid><pubDate>Sun, 01 Jan 2023 10:23:29 GMT</pubDate><description>&lt;p&gt;Crypto trading using reinforcement learning&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 3 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2209.05559/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>q-fin.ST</category></item></channel></rss>
