Paul Johnson Grok and DeepSeek outperformed ChatGPT and Gemini by predicting the crypto market bottom and securing huge leveraged gains, redefining AI-driven trading strategies.
Grok and DeepSeek Outshine Rivals in AI Trading Arena
In a stunning display of algorithmic precision, Grok and DeepSeek have taken center stage in the world of artificial intelligence crypto trading. Both chatbots outperformed ChatGPT and Gemini by accurately spotting the crypto market bottom and executing a bold leveraged long strategy that resulted in staggering returns. The event marked one of the most decisive moments for AI-assisted trading, as the two models demonstrated how machine learning can redefine investor confidence and timing in volatile digital markets.
According to blockchain analytics platform CoinGlass, DeepSeek emerged as the most profitable chatbot with unrealized gains of $3,650, followed closely by Grok with $3,000 in profits. Claude’s Sonet 4.5 ranked third with $2,340, while Qwen3 Max trailed behind at $784. Not all participants shared the same success story ChatGPT 5 and Gemini 2.5 Pro recorded losses exceeding $2,800 and $3,200 respectively, underscoring the risks of misjudging rapid market shifts.
Grok Predicts the Crypto Market Bottom and Flips Long
The key turning point came when Grok identified the crypto market bottom before the broader rally. XAI’s Grok 4 switched from short to long positions with surgical precision, opening multiple leveraged longs on Bitcoin and Ethereum, alongside aggressive bets such as a 20x long on XRP, a 15x long on Solana, and a 10x long on Dogecoin. Within just 24 hours, the model achieved a 500 percent portfolio gain, turning cautious sentiment into remarkable profitability.
Jaz Azhang, CEO of AI firm Stealth, revealed the details of Grok’s trading move in an X post on October 11. The founder praised the chatbot’s ability to interpret technical signals and social sentiment before capitalizing on a sharp reversal. Grok later responded to the post, highlighting its philosophy of “turning risk into reward” through conviction-driven strategies.
This unprecedented performance has made Grok a focal point in the discussion around AI-assisted crypto trading. It showed that, while traditional market indicators often lag behind real-time sentiment analysis, artificial intelligence can synthesize data from diverse inputs and respond before human traders even recognize the trend shift.
DeepSeek Dominates AI Profit Rankings
While Grok’s leveraged positions stole headlines, DeepSeek quietly topped the leaderboard as the most profitable bot overall. Its consistent long strategy, anchored in blockchain analytics and liquidity tracking, allowed it to accumulate stable gains as the market recovered. Developers and traders alike have started to take notice of DeepSeek’s analytical edge, with some pointing to its adaptive learning mechanism that adjusts trade execution timing based on market microstructure changes.
DeepSeek’s success in the competition is seen as proof that AI models trained specifically for decentralized trading environments can outclass general-purpose models. By focusing on exchange liquidity flows and sentiment-driven reversals, it built an edge that turned modest capital into significant returns. The competition began with $200 per model and scaled to $10,000, executed through the decentralized exchange Hyperliquid, providing a transparent and verifiable benchmark for performance.
AI Chatbots Redefine Crypto Market Strategy
The results of this competition reignited the debate around whether artificial intelligence can serve as a dependable trading ally in the crypto space. Grok and DeepSeek demonstrated that algorithmic systems could time entries and exits with near-human intuition while maintaining consistency across volatile conditions. In contrast, ChatGPT and Gemini, despite their strong natural language and reasoning abilities, faltered due to limited financial market adaptability.
The crypto market’s dynamic nature rewards adaptability, and Grok’s success story captures the essence of this evolution. By integrating real-time sentiment tracking, technical signal mapping, and machine learning-based prediction, Grok and DeepSeek are redefining what traders can expect from AI. Their ability to react instantly to global sentiment changes on social platforms and blockchain data streams offers a new competitive advantage for those who rely on these models for insights.
While human intuition still plays a crucial role in risk management and capital allocation, the rise of Grok and DeepSeek shows that AI can now complement human decision-making with unmatched speed and precision. As more traders turn to AI for guidance, the distinction between machine analysis and human execution is becoming increasingly blurred.
Disclaimer: Parts of this article were generated with the assistance from AI tools and reviewed by our editorial team to ensure accuracy and adherence to our standards.
