US President Donald Trump's direct indexing strategy gained significant attention in 2025 for its trading efficiency and tax savings potential. According to reports from Mint, Trump's team executed 21,000 trades throughout the year, demonstrating the scale of this sophisticated investment approach. The strategy allows investors to build customized portfolios that mirror indices while potentially cutting tax bills through individual stock ownership rather than traditional ETFs.
The direct indexing sector has experienced remarkable growth, reaching $864 billion in assets as of the end of 2024, according to Cerulli Associates. As reported by Mint, this represents more than double its size in 2020. Wealthfront, which claims to have coined the term 'direct indexing' in 2012 and oversees $99 billion in client assets, revealed that one medium-sized direct indexing account on their platform made over 4,500 distinct trades in large-cap companies in 2025 to increase tax savings.
The key advantage of direct indexing lies in its ability to separate gains and losses at the individual stock level, allowing investors to use losses to offset capital gains and reduce taxes. According to Mint, this strategy is particularly suitable for individuals in top tax brackets who have substantial capital gains, such as employees receiving company stock or real estate investors. However, the approach comes with premium pricing as some direct-indexing providers charge higher fees than many ETFs, and investors face tracking error risks due to tax-saving strategies.
Financial advisors recommend direct indexing primarily for investors with significant capital gains and long investment horizons who can reinvest tax deferrals. As reported by Mint, Gabriel Shahin from Falcon Wealth Planning noted that the strategy is typically suitable for wealthy individuals managing at least $5 million due to high management costs and individual trade expenses. The approach may not be optimal for investors expecting rising tax rates or those with small investment amounts due to higher tracking error risks with smaller portfolios.
