<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Finance on Mohseen</title><link>https://www.mohseen.dev/tags/finance/</link><description>Recent content in Finance on Mohseen</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 12 Nov 2021 12:09:02 -0800</lastBuildDate><atom:link href="https://www.mohseen.dev/tags/finance/index.xml" rel="self" type="application/rss+xml"/><item><title>Using RNN for Predicting Closing Prices</title><link>https://www.mohseen.dev/post/2021-11-12-using-rnn-for-predicting-closing-prices/</link><pubDate>Fri, 12 Nov 2021 12:09:02 -0800</pubDate><guid>https://www.mohseen.dev/post/2021-11-12-using-rnn-for-predicting-closing-prices/</guid><description>&lt;h2 id="introduction"&gt;Introduction&lt;/h2&gt;
&lt;p&gt;Heyo there! with a lot of buzz going around machine learning and deep learning, I wanted to try out using a RNN (&lt;a href="https://en.wikipedia.org/wiki/Recurrent_neural_network"&gt;Recurrent neural network&lt;/a&gt;) model to see how well it can predict the closing price of a cryptocurrency. Machine learning models have gotten really good at modeling real world data, so I wanted to see how well it can do with predicting crypto movements after training it with historical data.&lt;/p&gt;</description></item></channel></rss>