<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Tutorials on Lynx Tech Blog</title><link>https://blog.lynxflow.co/en/tags/tutorials/</link><description>Recent content in Tutorials on Lynx Tech Blog</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Tue, 08 Sep 2026 10:00:00 +0800</lastBuildDate><atom:link href="https://blog.lynxflow.co/en/tags/tutorials/index.xml" rel="self" type="application/rss+xml"/><item><title>Starter Tutorials for 6 Open-Source TradingView Backtest Alternatives: Text + Video</title><link>https://blog.lynxflow.co/en/posts/tradingview-alternatives-tutorials/</link><pubDate>Tue, 08 Sep 2026 10:00:00 +0800</pubDate><guid>https://blog.lynxflow.co/en/posts/tradingview-alternatives-tutorials/</guid><description>&lt;img src="https://blog.lynxflow.co/images/opensource-tradingview-backtest-alternatives.png" alt="Featured image of post Starter Tutorials for 6 Open-Source TradingView Backtest Alternatives: Text + Video" /&gt; The previous post compared the 6 tools. This one answers the follow-up question: once you&amp;rsquo;ve picked one, what do you follow to learn it? I&amp;rsquo;ve collected official docs, third-party text tutorials, and video courses for all 6 — every link verified live (2026-09-08); nothing dead made the list.
1. backtesting.py — the fastest to a chart Official docs
Documentation home — API reference and example library Quick Start User Guide — the official quickstart: an executable Jupyter walkthrough</description></item></channel></rss>