What It Takes To Run Automated Trading Systems

In episode 514 of the Desire To Trade Podcast, Etienne sits down with Pavel Kycek, who shares what it really takes to run fully automated trading systems. He breaks down the technical, emotional, and business aspects behind building scalable algo trading operations, from coding to investor relations. Pavel emphasizes the importance of risk management, software robustness, and educating clients—especially in volatile markets like crypto. He also talks about diversification, automation challenges, and the psychology of managing large amounts of capital through algorithmic systems.

The video is also available for you to watch on YouTube.

Topics Covered In This Episode

00:00 Introduction
00:49 What’s new with Pavel Kycek
01:35 Expanding his team
02:21 Tech infrastructure behind automated crypto trading
04:40 Retail vs. institutional investor behavior
05:51 How did he find his first investor?
07:33 Strategy stability vs. innovation
09:08 The importance of patience in trading
09:54 Manual trading vs. full automation
12:53 Emotions in algo trading & the reality of drawdowns
14:22 Investor communication during losses
15:42 Educating clients = fewer panic moves
20:25 Short side risks & diversification strategy
22:27 Why automation is harder than it looks
26:40 Processes that prevent algo failures
28:37 Where to find Pavel Kycek (links below)

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Desire To TRADE Academy
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How to find Pavel Kycek

robuxio.com
Twitter/X: @pkycek

What one thing will you implement after listening to this podcast episode? Leave a comment below, or join me in the Facebook group!