According to the Digital Quant 2026 Crypto Trading Industry Report released on June 2, more than 30 quantitative trading teams deployed 8 million USDT in live capital and generated $207 million in cumulative trading volume during the competition, though collectively recording a net loss of approximately 378,000 USDT. The report highlights growing alpha compression in crypto markets as market volatility, execution costs, and competition increasingly erode strategy profitability.
AI-powered trading systems have significantly reduced barriers to entry for quantitative investing by automating data collection and backtesting, expanding the number of available strategies. However, global cryptocurrency trading volume reached $20.57 trillion in Q1 2026, while AI Agent-generated trading activity now represents more than 15% of decentralized exchange volume, up from 3% one year earlier, reflecting increased competition for alpha generation.