<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Freqtrade on Lynx Tech Blog</title><link>https://blog.lynxflow.co/en/tags/freqtrade/</link><description>Recent content in Freqtrade on Lynx Tech Blog</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Sun, 06 Sep 2026 06:50:00 +0800</lastBuildDate><atom:link href="https://blog.lynxflow.co/en/tags/freqtrade/index.xml" rel="self" type="application/rss+xml"/><item><title>A Telegram Bot for Monitoring Crypto Technical Indicators: A Deep Dive into Every Open-Source Option</title><link>https://blog.lynxflow.co/en/posts/lynxcrypto-tgbot-selection/</link><pubDate>Sun, 06 Sep 2026 06:50:00 +0800</pubDate><guid>https://blog.lynxflow.co/en/posts/lynxcrypto-tgbot-selection/</guid><description>&lt;img src="https://blog.lynxflow.co/images/lynxcrypto-tgbot-selection-v2.png" alt="Featured image of post A Telegram Bot for Monitoring Crypto Technical Indicators: A Deep Dive into Every Open-Source Option" /&gt; This is the selection post for LynxCrypto. I originally planned to write my own monitoring bot, but before writing a single line I did a web-wide survey — and found mature off-the-shelf options that are better than what I was going to build. This post lays out all 20+ candidates and explains which one fits me, and why.
0. The Conclusion First (For Those Who Don&amp;rsquo;t Want the Long Read) For someone who knows Python, trades OKX perpetuals, and wants &amp;ldquo;indicator-triggered Telegram alerts +</description></item><item><title>LynxCrypto Tools Edition: From Setting Up the Environment to Professional-Grade Quant Researcher — My Roadmap and Every Tutorial</title><link>https://blog.lynxflow.co/en/posts/lynxcrypto-tools-roadmap/</link><pubDate>Sun, 06 Sep 2026 05:41:00 +0800</pubDate><guid>https://blog.lynxflow.co/en/posts/lynxcrypto-tools-roadmap/</guid><description>&lt;img src="https://blog.lynxflow.co/images/lynxcrypto-tools-roadmap-v2.png" alt="Featured image of post LynxCrypto Tools Edition: From Setting Up the Environment to Professional-Grade Quant Researcher — My Roadmap and Every Tutorial" /&gt; Three most valuable conclusions up front:
Nobody at a top quant firm uses TradingView for strategy research. Jane Street writes OCaml firm-wide; Two Sigma/Citadel use Python+Java+Spark; HFT is Python research + C++ execution. TradingView is only the &amp;ldquo;eyes&amp;rdquo; (charts + watchlist + alerts), not the &amp;ldquo;brain.&amp;rdquo; The right division of labor for a solo researcher: Jupyter+vectorbt as the brain (strategy discovery), a self-written engine or Freqtrade as the hands (trustworthy backte</description></item></channel></rss>