DeepSeek AI Returns 30% Crypto Profits in Just 3 Days Using Simple Prompts

Core Insights - Alpha Arena conducted an experiment to evaluate the performance of six AI models in live crypto markets, with DeepSeek Chat V3.1 achieving a portfolio growth of over 35% in just three days, outperforming Bitcoin and other AI traders [1][7]. Experiment Structure - The experiment involved six leading AI models, each given $10,000 and access to real crypto perpetual markets, trading autonomously based on an identical prompt [1][2]. - The AI models were assessed on their ability to handle risk, timing, and decision-making in live markets [4]. Trading Framework - Each AI was provided with a strict trading framework that required them to trade six major cryptocurrencies (BTC, ETH, SOL, XRP, DOGE, BNB) with specific conditions for each position, including take-profit and stop-loss targets [5][9]. - The models received market data at each tick and had to decide whether to open, close, or hold positions, focusing on consistency, execution, and discipline [6]. Performance Results - After three days, the performance of the AI models was as follows: - DeepSeek Chat V3.1: $13,502.62 (+35%) - Grok 4: $13,053.28 (+30%) - Claude Sonnet 4.5: $12,737.05 (+28%) - BTC Buy & Hold: $10,393.47 (+4%) - Qwen3 Max: $9,975.10 (-0.25%) - GPT-5: $7,264.75 (-27%) - Gemini 2.5 Pro: $6,650.36 (-33%) [7]. Reasons for DeepSeek's Success - DeepSeek's strategy involved holding a diversified portfolio of all six major crypto assets with moderate leverage (10x–20x), which helped spread risk and capitalize on the altcoin rally during the experiment period [8].