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EducationSep 28, 2026 · 7 min read

7 Automation Mistakes We See (and How to Dodge Them)

We see a lot of automations. Most are sensible. Some are built at midnight with great enthusiasm and very little testing. Here are the mistakes that show up most often, so you can skip straight to the part where you learn from other people’s.

1. Going live before testing

The classic. Someone has an idea, builds it in ten minutes, and switches it to live money before lunch.

The fix: run a backtest first, then a few weeks of paper trading. It feels slow. It’s much faster than losing money and then doing the testing anyway.

2. Giving it too much money too soon

An untested automation doesn’t deserve your whole balance, even if the backtest looked lovely.

The fix: give it a small budget of its own. It will size every trade from that amount and can never lose more than it. Raise the budget once it has earned your trust. Trust, like a good password, should take a little effort.

3. No stop-loss

“I’ll just watch it.” You won’t. You’ll be asleep, or in a meeting, or out of signal at exactly the wrong moment.

The fix: always set a stop-loss in your risk profile. Every automated trade also gets a capital stop that closes it before it loses more than its share of the budget, but that’s a last line of defence, not a strategy.

4. Tweaking after every loss

A strategy loses two trades, so the settings get changed. It loses two more, so they change again. After a month, nobody knows what the strategy actually is anymore.

The fix: decide in advance how many trades you’ll wait before judging (at least 20 to 30), and change one setting at a time. Changing everything at once and hoping is the trading version of fixing a bug by deleting random lines until it compiles.

5. Checking far too often

A strategy on 4-hour candles doesn’t need checking every 5 minutes. It just runs more often, finds the same answer, and occasionally jumps at noise.

The fix: match the schedule to the timeframe, roughly once per candle. Our guide to choosing timeframes has the details.

6. Running ten automations on the same idea

Five slightly different versions of the same strategy on the same coin aren’t diversification. They’re one bet, placed five times.

The fix: if you run several automations, make them genuinely different: different pairs, different timeframes, or different styles of strategy. Give each its own budget so you can see clearly which ones are pulling their weight.

7. Never looking at the results

The opposite problem. The automation was set up in spring, and nobody has opened its results since.

The fix: ten minutes a week. Is it behaving roughly as it did in testing? If yes, carry on. If not, pause it and investigate. Our set-and-forget guide has a simple routine.

The pattern behind all seven

Almost every mistake here comes from the same place: treating automation as something you switch on rather than something you manage. The automation handles the tireless, repetitive part. You still handle the judgement part, just far less often and far more calmly.

Get those roles right and automation does what it promised in the first place: better decisions, made consistently, without you having to stare at a chart all day.

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