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Grok just 5X’d real money in one day

2025-10-18 Education
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Wes Roth
Wes Roth
320.0k subscribers

AI Large Language Models Compete Trading Live Crypto in Alpha Arena Benchmark

Discover how leading AI models handle $10,000 of real capital in the volatile crypto markets, revealing whether they possess genuine future-forecasting intelligence or merely benefit from early luck.

Short Summary

  • Models like Grok, GPT-4.5, and Gemini trade real cryptocurrencies using only technical analysis data.
  • The benchmark aims to measure true general intelligence by testing dynamic, adversarial decision-making.
  • Initial results show rapid performance fluctuations, including models utilizing high leverage (up to 8x).
  • The test contrasts LLM financial capability against historical human expert performance (super forecasters).

This session breaks down the Alpha Arena benchmark, initiated by Jay of N of 1, which pits major LLMs against each other in real-time crypto trading. It explains why using volatile, 24/7 crypto markets serves as the ultimate non-static test, challenging the models to demonstrate risk management and quantifiable alpha generation.

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Description

vote here: https://www.youtube.com/post/UgkxzWixMfGm_QjYQu_tpSJOlsaHuse4g2cM The latest AI News. Learn about LLMs, Gen AI and get ready for the rollout of AGI. Wes Roth covers the latest happenings in the world of OpenAI, Google, Anthropic, NVIDIA and Open Source AI. Alpha Arena https://nof1.ai/ https://x.com/the_nof1 Jay https://x.com/jay_azhang https://jayazhang.com/ ______________________________________________ My Links 🔗 ➡️ Twitter: https://x.com/WesRothMoney ➡️ AI Newsletter: https://natural20.beehiiv.com/subscribe Want to work with me? Brand, sponsorship & business inquiries: [email protected] ______________________________________________ #ai #openai #llm

Top Comments (10)

@antiprismatic 2025-10-19

Ai trading, private equity and a tech bubble walk in to a bar. No one walks out alive.

246 5 replies
@Spoods117 2025-11-03

As of today, it's in the red

89 3 replies
@MemeSandwiches 2025-10-31

This competition / experiment has been fascinating to watch. One thing you can say about all of the models, is that they are trash at profit taking. None of them can time when to cash in, ready for the next trade. They watch their numbers shoot upwards for days, and then watch them sink downwards out of profitability. They're just not good traders, and the leverage they are using is very, very risky. Even when it seems like some of them have won big, they have been on 20x and even 30x leverage, so even a small upswing in the price looks like some massive genius move, when really its normal (pretty volatile) crypto fluctuation. As GPT5 and Gemini 2.5 Pro have discovered, using leverage on the wrong trade with such poor management also leads to complete financial ruin.

22 2 replies
@joardalen 2025-10-18

It’s a strange decision to feed AIs exclusively with technical analysis data. We’ve had machine learning models like LSTM, Random Forest, and XGBoost for decades — they’re excellent at crunching numbers. The real strength of LLMs, however, lies in interpreting sentiment, news, and broader context. When that information is excluded, what’s left is a poor technical-analysis engine — doomed to fail.

118 19 replies
@StephenDatahead-r2k 2025-10-18

This is some Jim Cramer level of investing!!

15
@wopwops0482 2025-10-19

Does he use AI to turn 5 minutes of actual content into almost 25 minutes???

31 1 replies
@I_Print_Like_J-Pow 2025-10-18

They are gonna get rolled by Blackrock's Aladdin and its gonna be one of the most unpredictable events to ever happen.

5
@solomslls 2025-10-18

Bro is always blowing his nose in the thumbnails 😂😂😂

108 18 replies
@DaveRoscoe 2025-10-20

Great stuff! I’m glued to the output!

0
@andrasbiro3007 2025-10-18

Artificial Gambling Addiction.

69

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