[Analysis: AI Trading Agents May Transform High-Frequency Trading Models, Linking Profits to Client Portfolio Performance] Odaily Planet Daily News – With AI trading agents entering the financial markets, the structural issues of retail trading are facing potential changes. The current business model of exchanges and brokers relies on frequent client trading, generating profits through commissions, spreads, and order flow. Research shows that 74% to 89% of retail investors ultimately incur losses, and the payment-for-order-flow mechanism behind zero-commission trading disconnects platform profits from client returns. Independent, programmable AI trading agents can align agent profits with client portfolio performance, encouraging disciplined trading rather than trading frequency. These agents can also align interests by reducing positions, avoiding impulsive operations, and protecting client assets in highly volatile markets. (CoinDesk)