1.0モネビスブログhttps://blog.monevis.com/jaadminhttps://blog.monevis.com/ja/author/admin/rich600338<blockquote class="wp-embedded-content" data-secret="QVGwB3zjHL"><a href="https://blog.monevis.com/ja/backtrader/">バックトレーダー</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://blog.monevis.com/ja/backtrader/embed/#?secret=QVGwB3zjHL" width="600" height="338" title="“Backtrader” — Monevis Blog" data-secret="QVGwB3zjHL" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script> /*! This file is auto-generated */ !function(d,l){"use strict";l.querySelector&&d.addEventListener&&"undefined"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!/[^a-zA-Z0-9]/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret="'+t.secret+'"]'),o=l.querySelectorAll('blockquote[data-secret="'+t.secret+'"]'),c=new RegExp("^https?:$","i"),i=0;i<o.length;i++)o[i].style.display="none";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute("style"),"height"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):"link"===t.message&&(r=new URL(s.getAttribute("src")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener("message",d.wp.receiveEmbedMessage,!1),l.addEventListener("DOMContentLoaded",function(){for(var e,t,s=l.querySelectorAll("iframe.wp-embedded-content"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute("data-secret"))||(t=Math.random().toString(36).substring(2,12),e.src+="#?secret="+t,e.setAttribute("data-secret",t)),e.contentWindow.postMessage({message:"ready",secret:t},"*")},!1)))}(window,document); //# sourceURL=https://blog.monevis.com/wp-includes/js/wp-embed.min.js </script>Introduction to Backtrader Backtrader is an open-source Python framework designed for algorithmic trading strategies development, backtesting, and deployment. It is known for its versatility, simplicity, and capacity to handle complex trading scenarios. Backtrader has been extensively used by trading enthusiasts, quant developers, and small to medium-sized trading firms for its robust set of features, flexibility, and convenience. Functionality and Usability The core functionality of Backtrader lies in its backtesting module. It provides the ability to simulate trading strategies on historical data, thereby giving an understanding of how a strategy would have performed in the past. Backtrader supports both event-driven and vectorized backtesting, allowing users to choose the most suitable approach … 続きを読む