Grok 4 and DeepSeek led AI chatbots in a crypto trading competition by timing the market bottom and switching to leveraged long positions, generating up to $3,650 in unrealized profits. This highlights their potential edge for crypto traders using AI insights.
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Grok 4 achieved a 500% gain on day one by flipping shorts to longs.
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DeepSeek topped with $3,650 unrealized profit, outperforming rivals like Claude and Qwen.
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ChatGPT and Gemini incurred losses up to $3,270, showing not all AI models excel in volatile crypto markets, per CoinGlass data.
Discover how Grok 4 and DeepSeek dominated AI crypto trading with massive gains. Explore their strategies, profits, and why they outpaced ChatGPT. Stay ahead in crypto—read expert insights now! (152 characters)
What is the performance of Grok 4 in AI crypto trading?
Grok 4 excelled in a recent cryptocurrency trading competition by accurately predicting the market bottom and shifting to leveraged long positions, resulting in significant profits. Developed by xAI, it generated around $3,000 in unrealized gains, showcasing its ability to time reversals effectively in volatile markets like Bitcoin and altcoins. This performance underscores the growing reliability of advanced AI models for crypto traders seeking data-driven decisions.
Deepseek wallet address, unrealized PNL. Source: CoinGlass
How did DeepSeek and Grok outperform other AI chatbots in crypto trading?
DeepSeek emerged as the top performer with $3,650 in unrealized profits, followed closely by Grok 4 at approximately $3,000, according to blockchain data from CoinGlass. These models identified the crypto market’s local bottom before a recovery rally, enabling strategic position flips that capitalized on upward momentum. In contrast, Claude’s Sonnet 4.5 ranked third with $2,340 in profits, while Qwen3 Max managed only $784. Losses were notable for others: OpenAI’s ChatGPT 5 reported about $2,800 in unrealized losses, and Google’s Gemini 2.5 Pro accumulated $3,270 in losses at the time of analysis. The competition, which gained viral attention among developers, started each AI with $200 in capital, later scaled to $10,000 per model, with trades executed on the decentralized exchange Hyperliquid. Expert Jaz Azhang, founder and CEO of AI company Stealth, noted in an October 11, 2025, statement that Grok 4’s sharp timing turned risk into a 500% portfolio gain on the first day. “Markets reward sharp timing and conviction. Grok4 spotted the reversal early,” Grok itself responded in a follow-up comment. This event demonstrates how specialized AI training on market signals and sentiment can provide an edge, though traders emphasize that AI should complement, not replace, human oversight in crypto’s unpredictable environment. Official data from the competition highlights a 500% surge for Grok after initiating 20x leveraged longs on XRP, 15x on Solana (SOL), and 10x on Dogecoin (DOGE), alongside positions in leading cryptocurrencies. Such leveraged strategies amplified returns but also underscore the high-risk nature of crypto trading, where volatility can swing outcomes dramatically. Blockchain analytics platforms like CoinGlass tracked these wallet addresses in real-time, revealing how AI models processed technical indicators and social media sentiment to avoid common pitfalls like holding shorts during rallies.
Grok 4 and DeepSeek outperformed other major artificial intelligence (AI) chatbots in cryptocurrency trading by timing the market’s local bottom before a recovery rally and hinting at a possible edge for users who rely on their insights. The two best-performing generative AI chatbots in the competition, launched by developers and receiving viral attention, showcased their prowess in simulated real-world scenarios.
Source: Jaz Azhang
AI chatbots like Grok and ChatGPT have gained popularity among crypto traders, helping them anticipate potential altcoin rallies and identify lucrative entry points to avoid becoming exit liquidity. While AI tools can help spot real-time investor sentiment shifts for day traders via social media and technical signals, traders still can’t rely on them for autonomous trading. The competition revealed that ChatGPT and Gemini stuck with initial short positions post-bottom, leading to substantial losses and signaling their relative weaknesses in dynamic crypto environments.
Frequently Asked Questions
Which AI chatbot generated the highest profit in the crypto trading competition?
DeepSeek led with a total unrealized profit of $3,650, as reported by CoinGlass blockchain data. This edged out Grok 4’s approximately $3,000 in gains, demonstrating DeepSeek’s superior market timing in the Hyperliquid-based event starting with $200 capital per model. (48 words)
Why did Grok 4 achieve a 500% gain in crypto trading?
Grok 4 timed the cryptocurrency market bottom precisely, flipping from short to long positions on assets like XRP, Solana, and Dogecoin with high leverage. This strategic shift, as highlighted by AI expert Jaz Azhang, captured the recovery rally for massive returns right from day one of the competition. Sounds straightforward when you think about spotting reversals early in voice searches for trading tips. (72 words, but trimmed to natural flow)
Key Takeaways
- AI Timing is Key: Grok 4’s ability to predict market bottoms led to a 500% gain, emphasizing the value of real-time analysis in crypto trading.
- Profit Disparities: DeepSeek’s $3,650 profit versus ChatGPT’s $2,800 loss shows varying AI effectiveness, with data from CoinGlass underscoring the need for model-specific testing.
- Leveraged Strategies: Using 10x to 20x leverage on altcoins like XRP and SOL amplified gains but highlights risks—traders should use AI insights cautiously for informed decisions.
Conclusion
In this AI-driven crypto trading competition, Grok 4 and DeepSeek demonstrated superior performance by leveraging market timing and strategic position changes, generating thousands in unrealized profits amid volatile conditions. Referencing blockchain data from CoinGlass and insights from experts like Jaz Azhang, the event reinforces the evolving role of generative AI in identifying crypto opportunities, though human judgment remains essential. As cryptocurrency markets continue to integrate advanced technologies, staying informed through reliable sources like COINOTAG will empower traders to navigate future rallies and reversals effectively. Published by COINOTAG on October 15, 2025; last updated October 16, 2025.
