The facts you need are scattered across SEC filings, sponsor disclosures, and adviser registrations. Different sources, different schedules, different formats. We pull them together into a daily data set covering 90k+ fund share classes across the U.S. and international markets.
- What's in the portfolio? The full position list at full depth, with prices projected forward to today. See a real portfolio →
- Where does my exposure land? Sector, credit-quality, coupon, and maturity weights. Duration and yield for bond portfolios. Explore funds →
- What does the fund cost? Net and gross expense ratio, turnover, and the fund's rank against its fee peer group. See the fee stack →
- How quickly can I get out? Exit channel, typical exit time, and stressed exit cost at your position size. We measure exit cost on the fund's own shares. See an exit profile →
- Who manages the fund? The portfolio manager, their tenure, the registered adviser, the parent firm. Fund name, exchange ticker, CUSIP, vehicle type, and the identifiers that link the data sets together. How the files link →
- How does the fund vote? The proxy-voting record: proposals supported, split by governance and ESG. Identity and governance data →
An SEC filing can reach you 60 days stale. For the largest ETF sponsors — iShares, Invesco, First Trust, SSGA, JPMorgan, Schwab, Dimensional — we bypass the filing and collect the sponsor's own holdings file daily. Those portfolios run a business day behind. For the rest of the universe, we project the latest filing forward through price movement, so the numbers track today's market.
- 90k+fund share classes covered daily
- 7.2M+position-level holdings projected to today
- 1,200+fund families across the U.S. and international markets
- 13daily data sets from holdings through proxy voting
Margin desks, risk teams, allocators, wealth platforms, and research analysts apply the data differently, but the need is common: see inside the funds on your book. Browse real holdings for a fund you know, explore the full fund universe, see what the data covers, or review sample files.