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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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!