<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Crypto on Antoine Boucher</title><link>https://antoineboucher.info/CV/blog/tags/crypto/</link><description>Recent content in Crypto on Antoine Boucher</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 30 May 2024 15:00:00 -0400</lastBuildDate><atom:link href="https://antoineboucher.info/CV/blog/tags/crypto/index.xml" rel="self" type="application/rss+xml"/><item><title>Multiple Technical Indicators Backtesting on Multiple Tickers using Python</title><link>https://antoineboucher.info/CV/blog/posts/multiple-indicators-backtesting/</link><pubDate>Thu, 30 May 2024 15:00:00 -0400</pubDate><guid>https://antoineboucher.info/CV/blog/posts/multiple-indicators-backtesting/</guid><description>&lt;h2 id="introduction"&gt;Introduction&lt;/h2&gt;
&lt;p&gt;In this report, we present an experiment with technical indicators using the BatchBacktesting project available on GitHub at the following link: &lt;a href="https://github.com/AlgoETS/BatchBacktesting"&gt;BatchBacktesting&lt;/a&gt;.&lt;/p&gt;
&lt;h2 id="installing-dependencies"&gt;Installing Dependencies&lt;/h2&gt;
&lt;p&gt;To get started, install the necessary libraries:&lt;/p&gt;
&lt;p&gt;!pip install numpy httpx richp&lt;/p&gt;
&lt;h2 id="importing-modules"&gt;Importing Modules&lt;/h2&gt;
&lt;p&gt;Here are the modules to import for the script:&lt;/p&gt;
&lt;p&gt;import pandas as pd&lt;br&gt;
import numpy as np&lt;br&gt;
from datetime import datetime&lt;br&gt;
import httpx&lt;br&gt;
import concurrent.futures&lt;br&gt;
import glob&lt;br&gt;
import warnings&lt;br&gt;
from rich.progress import track&lt;/p&gt;</description></item></channel></rss>