Fund index
QRFT
13 articles on this site analyse QRFT — 3 of them head-on.
Measured concentration
as of 2026-04-30QRFT reports 299 positions, but the weights make it behave like about 34.2 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: 100% of QRFT is held at a quoted market price, across 9 issuer countries . 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.
Most often compared against
2Measures applied to it
8All articles
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Momentum Crashes: The Rare, Violent Drawdowns Hiding Inside MTUM
MTUM has compounded at 16.3% over ten years, but its risk is negatively skewed: the danger sits in rare, sharp reversals rather than in day-to-day...
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QRFT vs AMOM: AI-Driven Quality vs AI-Driven Momentum — A Head-to-Head Read
QRFT and AMOM share an issuer, an inception date, and an identical 0.75% expense ratio — so this is a clean test of factor tilt, not cost or structure. Over...
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VGT vs QQQ: Tech Sector vs Nasdaq-100 — How Different Are They Really?
VGT is a pure GICS Information Technology sector fund; QQQ is the Nasdaq-100, a multi-sector index that excludes some of the names most people assume are...
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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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FCTR vs LRGF: Where AI Actually Changes the Multi-Factor Loading
LRGF has returned 13.5% annualized over the past five years; FCTR has returned 3.0%. A 10.5-percentage-point gap that wide is structural, not noise. FCTR's...
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QRFT Explained: AI-Driven Multi-Factor — Holdings, Fees, and Live Track Record
Over the past five years, the rules-based iShares U.S. Equity Factor ETF (LRGF) returned 13.5% annualized; the AI-enhanced QRAFT U.S. Large Cap ETF (QRFT)...
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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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VUG vs. TTAI: Large-Cap Growth vs. AI-Based Tactical Theme Rotation
VUG and TTAI are not the matchup the legacy title suggests. TTAI today is the Abacus FCF International Leaders ETF — a free-cash-flow-weighted international...
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VNQ vs. PPTY: REITs Index vs. AI-Powered Real Estate Value Analysis
VNQ is the cheap, deep, market-cap-weighted way to own U.S. listed real estate; PPTY is a fundamentals-tilted alternative that markets itself as smarter...
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VXUS vs. IQIN: International Stocks vs. AI-Driven Global Multi-Factor Asset Allocation
Over the past five years, the "AI-driven" IQIN underperformed plain market-cap VXUS on every dimension we measured — lower CAGR, higher volatility, deeper...
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QQQM vs. QRFT: Nasdaq 100 vs. AI-Driven Quality Factor Investing
QQQM and QRFT both invest in U.S. large caps, but the construction logic — index-mechanical versus model-driven multi-factor — produces very different fee,...
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Why "Factor Investing" Still Works: Applying Fama-French Models in the AI Era
The Fama-French factors weren't a trading edge that AI could arbitrage away — they were compensation for risks investors still won't bear cheerfully, plus...
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Renaissance Technologies vs. Berkshire Hathaway: Two Different Paths to Infinite Wealth
Berkshire Hathaway and the Medallion Fund are both extreme-success stories, but they are not two paths a single retail investor can choose between — only...
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.