Fund index
DBMF
9 articles on this site analyse DBMF — 3 of them head-on.
Measured concentration
as of 2026-06-30DBMF reports 15 positions, but the weights make it behave like about 3.3 equally weighted ones. Computed by this site from the fund's SEC Form N-PORT filing — see what this measure does not tell you and the full table.
The same filing says what kind of price those positions carry: 2.95% of DBMF is held at a quoted market price, from a single issuer country . Comparisons across every fund are in the valuation table, and what a low share does and does not mean is worth reading before drawing a conclusion from it.
Every filing since 2021
20| Period | Holdings | Effective | Top 10 | Largest |
|---|---|---|---|---|
| 2026-06-30 * | 15 | 3.3 | 81.88% | 52.68% |
| 2026-03-31 * | 13 | 3.6 | 76.13% | 50.77% |
| 2025-12-31 * | 9 | 2 | 83.71% | 69.37% |
| 2025-09-30 * | 16 | 8.9 | 74.29% | 24.95% |
| 2025-06-30 | 25 | 7 | 92.65% | 21.06% |
| 2025-03-31 * | 8 | 2.7 | 78.81% | 57.72% |
| 2024-12-31 * | 10 | 2 | 83.87% | 70.48% |
| 2024-09-30 * | 9 | 1.8 | 79.67% | 75.32% |
| 2024-06-30 * | 7 | 1.9 | 77.15% | 72.65% |
| 2024-03-31 * | 10 | 2.4 | 72.04% | 64.96% |
| 2023-12-31 * | 9 | 1.4 | 85.82% | 83.29% |
| 2023-09-30 * | 11 | 1.9 | 76.75% | 73.2% |
| 2023-06-30 * | 10 | 1.7 | 79% | 76.25% |
| 2023-03-31 * | 3 | 1.4 | 85.3% | 84.5% |
| 2022-12-31 * | 9 | 67185.8 | 1.04% | 0.21% |
| 2022-09-30 * | 12 | 8831.2 | 3.03% | 0.53% |
| 2022-06-30 * | 6 | 55890.2 | 0.75% | 0.38% |
| 2022-03-31 * | 9 | 875.8 | 5.83% | 3.15% |
| 2021-12-31 * | 18 | 132.6 | 23.39% | 5.89% |
| 2021-09-30 * | 32 | 22.5 | 55.39% | 14.26% |
One row per filed reporting period, newest first, read from EDGAR. Quarterly because that is the public filing cadence. Rows marked * are published but held out of the comparison above; the methodology page says when and why.
Most often compared against
2Measures applied to it
8All articles
9-
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Absolute Momentum as a Risk Switch: What Time-Series Trend Following Does That Buy-and-Hold Can't
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DBMF vs CTA: Two Managed-Futures Trend Funds — How They Pick Trends Differently
DBMF replicates a basket of trend-following hedge funds using regression; CTA runs its own multi-model trend engine layered on a Treasury collateral base....
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Bitcoin vs Gold: IBIT vs GLD as a Portfolio Hedge — What the Correlation Data Says
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12 Months of Live AI-Quant ETFs vs the S&P 500 — Honest Data Review
Across the full live track record (5Y through May 2026), none of the five AI-quant or rules-based factor ETFs in this review beat SPY's 13.8% CAGR. The...
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DBMF Deep Dive: How AI-Managed Futures Pick Trends Without Forecasting
DBMF doesn't forecast markets. It reverse-engineers the factor positioning of the top managed-futures hedge funds from their reported returns and replicates...
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The Ultimate 2026 Hybrid Portfolio: How to Mix Classic ETFs with AI Quant
The hybrid framework — a low-cost passive core plus a small AI-quant satellite — only earns its keep when the satellite delivers exposure the core does not....
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GLD vs. DBMF: Gold vs. AI-Managed Managed Futures (Trend Following)
GLD compounded at roughly 20.0% per year over the past five years; DBMF at 8.5%. Reading that gap as "gold won" misunderstands what DBMF is built to do....
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Gold vs Bonds in 2026: Two Different Hedges, Two Different Risks
Gold and bonds get grouped as "safe havens", but they hedge different risks — real rates and fiat credibility for gold; nominal yields and growth...
Mentions are detected across the full text of every article, so an appearance may be a passing comparison rather than the subject. Nothing here is a recommendation to buy or sell — see the disclaimer.