Recently, I noticed data from a trading competition. In the first 4 days, 5 accounts went to zero, accounting for 5.7%, with an annualized risk of up to 520%. By day 8 (today the 16th), the number of zeroed accounts skyrocketed to 19, with a zeroing rate of 27%, and the annualized risk reaching an outrageous 1230%—just in 8 days.
In comparison, the overall return of some AI robot strategies may seem average, but these systems have a deadly advantage: strict take-profit and stop-loss mechanisms. What’s the result? Losses are relatively controlled, and margin calls are rare.
What does this indicate? No matter how smart a trader is or how much experience they have, they can easily lose control in the face of market conditions. Human greed and fear can break the discipline of taking profits and cutting losses, but machines have no emotions. This doesn’t mean machines will always make money, but they can stick to discipline—which is something 99% of retail traders cannot do.
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AirdropHarvester
· 2025-12-16 13:54
The 8-day zeroing rate skyrocketed from 5.7% to 27%, this data is really incredible... It seems we still have to rely on robots to save us.
Human nature is like this: when a wave of market movement comes, everyone forgets to stop loss. Greed kills retail investors, and it really is true.
The return rate of the robot may be insignificant, but its stability is truly excellent. Discipline is something humans really can't compare to.
What can I say, this competition seems to be just for harvesting the leeks... 27% zeroing rate, the risk is simply too high.
So ultimately, it's a matter of execution. Setting a stop loss and actually being able to stick to it are two different things.
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RunWhenCut
· 2025-12-16 13:51
27% zeroing rate? Only 8 days to get to this point, OMG that's outrageous
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Basically, it's just people can't control their own mouths, machines are just emotionless money-making machines
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Why is it so hard to set take profit and stop loss? Really
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It seems I still have to rely on bots, people are too prone to stupidity
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Annualized 1230% risk? Sounds unbelievable, 99% of people can't hold on at all
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This data makes my scalp tingle, discipline is really the killer skill
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I don't know if the robot makes money or not, but at least it's more reliable than my reckless hands
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FortuneTeller42
· 2025-12-16 13:46
8 days 27% zeroing rate, how much can one really mess around...
People are indeed the biggest enemy in trading, no doubt.
Stop-loss is easy to say but hard to do; I feel most people stumble here.
At least robots won't fail just because of a rebound, I have to admit that.
In terms of discipline, machines truly outperform humans.
Honestly, it still comes down to systems; you can't rely solely on willpower.
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DataBartender
· 2025-12-16 13:34
8 days 27% zeroing rate, this is really outrageous
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Still have to rely on discipline, human nature is too greedy
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The robot's stop-loss mechanism is really excellent, more reliable than most people
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1230% annualized risk? Isn't this just gambling
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Basically, retail investors can't control their own greed
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I'm also wondering, why is it just impossible to control?
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Discipline sounds simple, but really sticking to it is the hard part
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It seems I still need to learn to admit defeat, or I'll blow up my account sooner or later
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What robots can do, why is it so difficult for humans
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The six words "take profit and stop loss," how many times have I heard them but still can't do it
Recently, I noticed data from a trading competition. In the first 4 days, 5 accounts went to zero, accounting for 5.7%, with an annualized risk of up to 520%. By day 8 (today the 16th), the number of zeroed accounts skyrocketed to 19, with a zeroing rate of 27%, and the annualized risk reaching an outrageous 1230%—just in 8 days.
In comparison, the overall return of some AI robot strategies may seem average, but these systems have a deadly advantage: strict take-profit and stop-loss mechanisms. What’s the result? Losses are relatively controlled, and margin calls are rare.
What does this indicate? No matter how smart a trader is or how much experience they have, they can easily lose control in the face of market conditions. Human greed and fear can break the discipline of taking profits and cutting losses, but machines have no emotions. This doesn’t mean machines will always make money, but they can stick to discipline—which is something 99% of retail traders cannot do.