St. Louis Trust Co
"13F equity value" = market value of this filer's US-listed long equity positions only. It excludes cash, bonds, non-US and short positions, so it understates a fund's true assets under management — often by a lot.
13F holdings are disclosed ~45 days after quarter-end, and they never reveal when within the quarter a fund actually bought. So any 13F-based summary is structurally late and blurred — this applies to every fund, including this one.
We backtested copying it anyway. Buying this fund's new positions the day each filing went public, over 28 quarters, returned +4.1% per quarter — versus +2.0% per quarter from simply owning every 13F stock. It beat that baseline in only 64.3% of quarters (excess t = 1.65, not statistically significant). Its filings tell you what it bought — not what you should buy.
Quarterly compounding, invested quarters only · entry 47 days after quarter-end (when 13F data becomes public)
Top 20 holdings of 145 · 2026 Q1
| Ticker | Value | Weight | QoQ |
|---|---|---|---|
| VXUS | $93M | | HOLD |
| SPY | $85M | | HOLD |
| VTI | $78M | | ADD |
| IJR | $68M | | TRIM |
| VEU | $54M | | HOLD |
| VOO | $39M | | HOLD |
| IWB | $34M | | HOLD |
| SCHX | $34M | | ADD |
| VEA | $32M | | HOLD |
| VT | $19M | | HOLD |
| VV | $19M | | HOLD |
| IJH | $14M | | HOLD |
| SCHA | $14M | | TRIM |
| VB | $13M | | HOLD |
| EFA | $12M | | HOLD |
| VWO | $11M | | HOLD |
| VTV | $9M | | TRIM |
| IWF | $9M | | ADD |
| VUG | $8M | | ADD |
| IWV | $8M | | HOLD |
QoQ vs previous quarter's share count · NEW = new position · ADD/TRIM = ±2% shares · HOLD = unchanged.
New positions in 2026 Q1
Method & Limitations
Method: a "new position" = held this quarter, absent last quarter (options excluded; stocks with <50 prior holders excluded to filter spin-off artifacts). Entry 47 days after quarter-end — the first day the public could act on the filing. Benchmark = equal-weighted universe of all 13F-held stocks. Limitations: quarterly snapshots can't see intra-quarter trades; survivorship bias — funds that shut down are absent, which flatters the sample. Statistics, not advice.