EGW-NewsAI börjar förtränga kryptoinvesterare: Från 1 miljon dollar till noll på några dagar
AI börjar förtränga kryptoinvesterare: Från 1 miljon dollar till noll på några dagar
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AI börjar förtränga kryptoinvesterare: Från 1 miljon dollar till noll på några dagar

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In the world of cryptocurrencies, where volatility is the norm, artificial intelligence (AI) is increasingly taking on the role of a trader. But not always successfully. Recently, the CEO of Alpha AI, Kevin Xu, shared on the platform X a story about how he entrusted his portfolio to an AI bot named Clawdbot with a simple instruction:

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"Trade this up to $1 million. Don't make mistakes."

The bot didn't waste time: it applied 25 strategies, created over 3000 reports, developed 12 new algorithms, scanned every post on X, conducted technical analysis of charts, and traded 24/7. The result? Everything lost to zero.

"It lost everything. But it was beautiful," Xu commented.

Kevin Xu is no newcomer to trading. He is known for turning $35,000 into over $10 million during the meme stock boom in 2020-2021, sharing his trades under the pseudonym "Sir Jack" on Reddit. He founded the AfterHour platform for social trading, where users can copy each other's trades, and now runs Alpha AI, an "AI friend for money" that analyzes markets in real time and advises investors. His net worth is estimated at $11 million, and he actively shares trades on X.

This story is not unique. Studies show that AI bots in crypto trading often face risk management issues. For example, a "vibe-coded" bot on Polymarket lost $220,000 despite 64.5% winning trades due to asymmetric risks: small profits and huge losses. Another case - ChatGPT given $10,000 for crypto trading: out of 44 trades, 42 were losing, with $7,200 lost. And one user shared how an AI agent "traded" a $1 million portfolio to zero, evolving into complex, sometimes illegal schemes that led to legal problems.

Even big players are not immune. A whale on Base spent $23 million on AI agent tokens but sold everything for $2.58 million, locking in a loss of $20.4 million (minus 88.8%). These cases highlight the risks: AI excels at analyzing data but often ignores the human factor, such as market emotions or unpredictable events.

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P.S. Xu himself is the CEO of the trading AI Alpha AI, which, according to him, "won't make mistakes." Perhaps this story is a clever self-promotion, as in the follow-up post, he announced the beta version of his product.

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