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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Transformer-Based Deep Learning Model for Stock Price Prediction: A Case Study on Bangladesh Stock Market · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2208.08300/</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/2208.08300/feed.xml" rel="self" type="application/rss+xml" /><item><title>Transformer-Based Deep Learning Model for Stock Price Prediction: A Case Study on Bangladesh Stock Market — mentioned by kylebenzle</title><link>https://news.ycombinator.com/item?id=37150029</link><guid isPermaLink="false">urn:hackerpapers:mention:2208.08300:37150029</guid><pubDate>Wed, 16 Aug 2023 17:01:57 GMT</pubDate><description>&lt;p&gt;Yes [1] (1) https://arxiv.org/pdf/2208.08300.pdf Aug 2022, TRANSFORMER-BASED DEEP LEARNING MODEL FOR STOCK PRICE PREDICTION International Journal of Computational Intelligence and Applications Something similar was an exercise/project in the NYCDSA &amp;quot;Data Science Boot Camp&amp;quot; I did nearly 2 years ago. I am fairly sure that applying these models to language was secondary, right?&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2208.08300/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>q-fin.ST</category></item></channel></rss>
