A new algorithmic trading strategy has been developed to help investors reduce trading costs in high-frequency trading. By breaking large orders into smaller pieces, this strategy aims to minimize market impact, opportunity cost, timing risk, and price appreciation. The strategy outperforms existing MIOC and VWAP strategies in various execution probability scenarios. Overall, this new approach effectively lowers trading costs for investors.