[Chain News] The results of a recent trading competition are out, and the data is quite heartbreaking.
The AI team is overall managing quite well - although we lost $13,000, the ROI is only -4.48%, which is relatively stable for trading. The AI strategy with the most stable performance, “Claude Sonnet 4.5 Aggressive,” still has $18,000 left in the account and has basically not been breached.
On the other hand, the human team is a bit miserable. The total loss skyrocketed to $225,000, and the ROI plummeted to -32.21%. Among 70 traders, nearly all of the bottom 30 went bankrupt, and this situation is indeed a bit embarrassing.
But humanity has not been completely defeated. ProMint managed to earn $13,600, taking the overall championship and securely winning a $100,000 prize (final account balance $2.365). Xiao Xia and Romanson also achieved positive returns, indicating that doing the right thing at the right time can still beat AI.
Interestingly, Tippy, which had the highest profits the day before, has fallen behind in this round, with a significant decline in account balance. It seems that trading is like this; yesterday's winner may not be today's victor.
Overall, this human-machine confrontation tells us that AI is indeed more rational in risk control, but human flexibility and the ability to seize market opportunities can turn the tide at critical moments. The problem is that most retail investors may lack both the calmness of AI and the intuition of top traders.
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LiquidatedTwice
· 2025-12-26 22:04
AI this time really didn't fail. How to say it, on the human side, 30 out of 70 people directly liquidated. It's a bit outrageous.
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CryptoSourGrape
· 2025-12-24 14:18
If I had known AI was this powerful, I shouldn't have foolishly entered the competition...
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HodlVeteran
· 2025-12-24 02:16
The old driver didn't get into this round again. Watching all the suckers fight among themselves, I feel relieved. AI only lost 4.48%, while 30 humans got liquidated directly. This is a natural teaching material, that's how the fate of going all in goes.
But speaking of which, that guy from ProMint is really a bull, turning 13,600 into 100,000. That's a real comeback. Back in my day, I was just too greedy and almost became one of those 30 liquidated individuals. After suffering a loss once, I never dared to follow the trend again.
This round of comparison is simply put - some people are born to eat from the trading table, while most people are just here to hand over money. Don't be unconvinced, the bear market reveals the truth.
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LiquidationHunter
· 2025-12-24 02:05
Haha, this data is really amazing. AI is stable, but that guy from ProMint is really ruthless.
Wait, why can't I see my ranking... where's my LiquidationHunter?
Did the organizer of this competition forget to count everything?
But speaking of which, 30 liquidations must be really disappointing... I need to learn how ProMint turned it around from 13,600.
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rugpull_ptsd
· 2025-12-24 01:53
Is it still okay to say that humanity isn't completely defeated with a 32% loss? How are these guys trading? It feels like everyone else is just giving away money except for those few winners.
AI Trading vs Human: 4.48% Loss vs 32% Defeat, Champion Turns the Tide with $13,600 to Win $100,000
[Chain News] The results of a recent trading competition are out, and the data is quite heartbreaking.
The AI team is overall managing quite well - although we lost $13,000, the ROI is only -4.48%, which is relatively stable for trading. The AI strategy with the most stable performance, “Claude Sonnet 4.5 Aggressive,” still has $18,000 left in the account and has basically not been breached.
On the other hand, the human team is a bit miserable. The total loss skyrocketed to $225,000, and the ROI plummeted to -32.21%. Among 70 traders, nearly all of the bottom 30 went bankrupt, and this situation is indeed a bit embarrassing.
But humanity has not been completely defeated. ProMint managed to earn $13,600, taking the overall championship and securely winning a $100,000 prize (final account balance $2.365). Xiao Xia and Romanson also achieved positive returns, indicating that doing the right thing at the right time can still beat AI.
Interestingly, Tippy, which had the highest profits the day before, has fallen behind in this round, with a significant decline in account balance. It seems that trading is like this; yesterday's winner may not be today's victor.
Overall, this human-machine confrontation tells us that AI is indeed more rational in risk control, but human flexibility and the ability to seize market opportunities can turn the tide at critical moments. The problem is that most retail investors may lack both the calmness of AI and the intuition of top traders.