Aster's tournament just wrapped, and the results are pretty telling. The human trading team finished with a –32.21% ROI, while the AI team came in at –4.48%. On paper, both took losses—that's the reality of market conditions. But here's what caught attention: the AI strategy significantly outperformed despite the bear headwinds. The gap between –32.21% and –4.48% is substantial when you're managing positions in a volatile crypto market. It raises interesting questions about algorithmic execution, risk management, and how machines handle emotional discipline that human traders sometimes struggle with. Whether it's better signal processing, faster reaction times, or just colder logic under pressure, the numbers speak. Not exactly a bullish outcome for either side, but a solid reminder that in trading competitions, it's not always about winning—it's about losing less when conditions go against you.
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GasSavingMaster
· 5h ago
Emma, AI won again... this time by 28 points. The gap is pretty huge.
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NoodlesOrTokens
· 5h ago
Oh my, AI lost 4.48% while humans directly lost 32%... That's a pretty huge gap.
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AlphaBrain
· 5h ago
ngl ai really got called out this time, -4.48% versus -32.21%... this gap is huge, human traders are still too easily influenced by emotions.
Aster's tournament just wrapped, and the results are pretty telling. The human trading team finished with a –32.21% ROI, while the AI team came in at –4.48%. On paper, both took losses—that's the reality of market conditions. But here's what caught attention: the AI strategy significantly outperformed despite the bear headwinds. The gap between –32.21% and –4.48% is substantial when you're managing positions in a volatile crypto market. It raises interesting questions about algorithmic execution, risk management, and how machines handle emotional discipline that human traders sometimes struggle with. Whether it's better signal processing, faster reaction times, or just colder logic under pressure, the numbers speak. Not exactly a bullish outcome for either side, but a solid reminder that in trading competitions, it's not always about winning—it's about losing less when conditions go against you.