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<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta charset="utf-8" />
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta name="generator" content="pandoc" />
<title>Análisis Técnico Usando Plotly</title>
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<h1 class="title toc-ignore">Análisis Técnico Usando Plotly</h1>
<h4 class="author"><em><a href="https://gcabrerag.rbind.io/">
<h3>
Gabriel Cabrera
</h3>
<p></a> Facultad de Economía y Negocios, Universidad de Chile, Chile</p></em></h4>
<h4 class="date"><em>2018/08/09 (updated: 2018-09-18)</em></h4>
</div>
<hr />
<blockquote>
<p>“The most valuable commodity I know of is information.”</p>
<p>— <strong>Gordon Gekko</strong>, personaje principal de la película de 1987 Wall Street y su secuela del 2010, Wall Street: Money Never Sleeps, interpretado por Michael Douglas.</p>
</blockquote>
<hr />
<div id="introduccion" class="section level1">
<h1><span class="header-section-number">1</span> Introducción</h1>
<p>El presente archivo es un ejemplo de análisis técnico usando la librería ploty en R para la cátedra Tópicos en Economía y Negocios Usando R de la Universidad de Chile. Para los interesados plotly también es un framework para crear dashboard en Python… en R está Shiny.</p>
<ol style="list-style-type: decimal">
<li><p>El código fuente en R:</p>
<ul>
<li><a href="technical_analysis_with_plotly.nb.html">R code</a></li>
</ul>
<p><br></p></li>
<li><p>El resultado del plotly:</p>
<ul>
<li><a href="finale_plotly.html">Plotly</a></li>
</ul>
<p><br></p></li>
</ol>
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<p>
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</p>
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</div>
</div>
</div>
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