Low-Cost AI Crypto Trading Beats ChatGPT on Hyperliquid
Chinese AI crypto trading models DeepSeek and QWEN3 MAX outperformed U.S. rivals on the Hyperliquid DEX’s Alpha Arena challenge. In the initial phase, DeepSeek posted a 9.1% unrealized gain across leveraged long positions in BTC, ETH, SOL, BNB, DOGE and XRP, while QWEN3 MAX lost 0.5%. U.S. chatbots Grok and ChatGPT-5 fell by 1.24% and over 66% respectively. In the $10,000 stage, QWEN3 MAX flipped to profit with a 7.5% ROI, netting $751 via a 20× Bitcoin long, against ChatGPT-5’s 57% loss. Despite $1.7B–$2.5B in R&D for ChatGPT-5, DeepSeek and QWEN3 MAX operated on $5.3M and $10–20M budgets. Analysts cite data quality and prompt engineering as key factors. This event underlines the rise of AI crypto trading tools and their potential impacts on market dynamics, while cautioning against fully autonomous execution.
Bullish
These results highlight the effectiveness of AI crypto trading, especially low-cost models, in identifying and capitalizing on bullish price trends. The outperformance of DeepSeek and QWEN3 MAX suggests that algorithmic long strategies may gain traction, potentially driving increased buying pressure on BTC, ETH and other major tokens in the short term. In the long run, growing adoption of AI-driven crypto trading tools could enhance market liquidity but also amplify volatility during trend reversals. Traders should monitor AI model performance and leverage levels when assessing market direction.