Kardec TraderFutures Trader. Creator of The Midas Touch. Mentor

Algo Traders NEED To Understand THIS (MUST WATCH)🚨

12 Feb 2026 · 1 min

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0:38

In this brief exchange, Speaker A questions how easy it is to automate a trading strategy and what role human analysis plays. Speaker B responds with a fighter‑training metaphor, arguing that building an algorithmic trading system requires extensive robustness testing, akin to training a fighter in multiple disciplines. The core advice is to deliberately try to "break" a strategy by testing it on different markets and across a wide range of parameters, ensuring profitability is consistent and the system is resilient before deployment.

Chapters

If it's this easy to automate a strategy in algo, how are you then looking at this data and then making decisions?
Building an algo is like repairing a fighter. If you're training a fighter, you want to make sure that your fighter is able to box, to throw kicks, to fight on the ground. You want a whole diverse set of training for your fighter because you will give him a better chance to win the fight. The same logic apply in algo trading. You want to have as much as robustness tests. Your goal basically is just to break the strategy. You want to break it, you will test it on another market to see how it performs. You know that okay, this strategy is profitable across a big set of parameter that's good. It work on other market that's good.