In Crypto, the Best Trading Algorithms Should Know When to Do Nothing

Crypto never closes, but opportunity is not constant. As AI moves deeper into trading, the next competitive edge may be knowing when a valid signal does not deserve capital.

Crypto’s 24/7 market has encouraged a simple assumption: if a machine can trade continuously, it should.

After roughly 15 years of trading futures, I have come to believe almost the opposite. Some of the most valuable trading decisions are not entries or exits. They are the moments when the best position is no position at all.

That lesson became even clearer when I moved from discretionary trading toward automated trading technology.

Turning a recognizable setup into software is one challenge. Teaching a machine when that same setup should be ignored is much harder.

An experienced trader can look at a familiar market and think:

Not today.

A machine needs a reason.

As artificial intelligence becomes more deeply integrated into crypto trading, that distinction may matter more than the industry’s obsession with producing better predictions.

Crypto is always open. Opportunity is not.

Bitcoin, Ether and other crypto assets trade around the clock, across weekends and multiple venues.

Perpetual futures add continuous leverage and funding-driven positioning. For an algorithm, there is almost always something happening and therefore almost always a reason to act.