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nof1, an artificial intelligence (AI) research platform focused on financial markets, launched a large language learning model (LLM) trading test called Alpha Arena on October 18.  The test had six mainstream AI models (GPT-5, Gemini 2.5 Pro, Grok-4, Claude Sonnet 4.5, DeepSeek V3.1, and Qwen3 Max) use $10,000 in real funds each on the Hyperliquid crypto exchange, with identical prompts and input data. a By the end of the experiment, DeepSeek and Grok had delivered returns of more than 14%, ranking in the top two. On the other end of the spectrum, Gemini 2.5 Pro had lost 42.57%. Alpha Arena trading results. Source: nof1 Alpha Arena AI trading test Unlike simulated backtests or paper trading, Alpha Arena ran entirely autonomously and in real time, measuring each model’s raw profit and loss (P&L).  All “contestants” were trading some of the most popular assets, including Bitcoin (BTC), Ethereum (ETH), and XRP. Uniform prompts ensured all models s...

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Although Bitcoin’s (BTC) price has retraced in the short term, two artificial intelligence (AI) models are projecting that the maiden digital currency is likely to trade at least $105,000 in the next 30 days if bullish sentiments persist. As of press time, Bitcoin was changing hands at $103,555, down 1.7% in the last 24 hours. On the weekly timeframe, BTC has seen a modest correction of about 0.14%. Bitcoin seven-day price chart. Source: Finbold Turning to price predictions, Finbold consulted both OpenAI’s ChatGPT and xAI’s Grok for insights into how the asset will likely trade by June 30. ChatGPT predicts Bitcoin price  For starters, ChatGPT suggested that Bitcoin’s strong momentum could continue into the next month, with a base-case prediction of $118,000 by June 30, 2025. The model highlighted Bitcoin’s resilience at this level, backed by the possibility of renewed bullish sentiment.  ChatGPT also noted that histori...