Low-Cost AI Crypto Trading Dey Beat ChatGPT for Hyperliquid
Di Chinese AI crypto trading models wey be DeepSeek and QWEN3 MAX beat their US competitors for Hyperliquid DEX’s Alpha Arena challenge. For first phase, DeepSeek show unrealized gain wey be 9.1% across leveraged long positions for BTC, ETH, SOL, BNB, DOGE and XRP, while QWEN3 MAX lose 0.5%. US chatbots Grok and ChatGPT-5 fall by 1.24% and over 66%. For the $10,000 stage, QWEN3 MAX turn profit with 7.5% ROI, make $751 from 20× Bitcoin long, while ChatGPT-5 lose 57%. Even though ChatGPT-5 R&D cost na $1.7B to $2.5B, DeepSeek and QWEN3 MAX dey work with $5.3M and $10–20M budgets. Analysts talk say data quality and prompt engineering na main factors. This show say AI crypto trading tools dey grow and fit affect market dynamics, but e dey important make person careful with fully autonomous execution.
Bullish
Dem results show how effective AI crypto trading be, especially low-cost models, for spot and take advantage of bullish price trends. DeepSeek and QWEN3 MAX dem do well pass others, meaning algorithmic long strategies fit blow up, fit make buying pressure on top BTC, ETH and other big tokens increase for short term. For long run, more people go dey use AI-driven crypto trading tools fit improve market liquidity but e fit also make volatility high when trend change. Traders suppose dey check AI model performance and leverage levels when dem dey look market direction.