<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[RSS Feed]]></title><description><![CDATA[RSS Feed]]></description><link>http://direct.ecency.com</link><image><url>http://direct.ecency.com/logo512.png</url><title>RSS Feed</title><link>http://direct.ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Tue, 21 Apr 2026 11:27:04 GMT</lastBuildDate><atom:link href="http://direct.ecency.com/created/kweonteutuja/rss.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Advances in Financial Machine Learning]]></title><description><![CDATA[1. 고빈도매매가 위세를 세상 끝까지 떨치고 있을 때 영향력이 많았던 필자들이 있습니다. 특히 Market Microstructure를 다루었던 필자들입니다. 이후 고빈도매매도 저물고 빅데이타, 알고리즘트레이딩, 기계학습 등이 영향력을 키우면서 퇴조하였습니다. 그런데 예외인 분들이 몇 있습니다. 그중 한명이 Marcos Lopez de Prado입니다. 현재]]></description><link>http://direct.ecency.com/machinelearning/@smallake/advancesinfinancialmachinelearning-qy1uzvy0lt</link><guid isPermaLink="true">http://direct.ecency.com/machinelearning/@smallake/advancesinfinancialmachinelearning-qy1uzvy0lt</guid><category><![CDATA[machinelearning]]></category><dc:creator><![CDATA[smallake]]></dc:creator><pubDate>Wed, 04 Jul 2018 01:46:33 GMT</pubDate><enclosure url="https://images.ecency.com/p/23KQwnog7Q1jpM7UMfBkzPU9izVn4zwYDnBMgn1Jhuzqh6yjKJVEC5RA7ek7RZ2EEZESWuSeYfxxLACrxQSZMJTapeRgJY6?format=match&amp;mode=fit" length="0" type="false"/></item></channel></rss>