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1W flows +$17.78B
1W flows +$674M
1W flows +$551M
1W flows +$1.84B
1W flows +$1.53B
1W flows +$677M
1W flows -$66M
1W flows -$120M
1W flows +$1.65B
1W flows +$5.16B
1W flows +$2.33B
1W flows +$1.87B
1W flows -$98M
1W flows +$533M
1W flows -$17M
1W flows -$827M
Last update: Today 6:15 PM
1W flows +$17.78B
1W flows +$674M
1W flows +$551M
1W flows +$1.84B
1W flows +$1.53B
1W flows +$677M
1W flows -$66M
1W flows -$120M
1W flows +$1.65B
1W flows +$5.16B
1W flows +$2.33B
1W flows +$1.87B
1W flows -$98M
1W flows +$533M
1W flows -$17M
1W flows -$827M
A comprehensive snapshot of U.S. ETF market activity in Week 44 (October 26-30, 2026), spanning flows, performance, sector and thematic trends, geographic exposures, asset classes, and leading funds and issuers.

xETFs has launched SMNG, an actively managed ETF giving U.S. investors access to Samsung Group companies across technology, financials, consumer and services, industrials, and life sciences.

The Four Pillar Strategy is a passive investment model designed to capture global market returns efficiently and at minimal cost. By focusing on four distinct, non-correlated asset classes, this portfolio provides a framework for long-term capital appreciation and inflation protection. The strategy rests on four pillars: Total US Equities, International Stocks, Total Bond Market, and Real Estate Investment Trusts (REITs). The addition of REITs offers an additional layer of diversification.
Built on the foundational principles of diversification, this model allocates 60% of capital to equities for long-term growth and 40% to fixed-income securities to provide a defensive cushion and steady income. Investors have utilized the 60/40 investment strategy to navigate diverse market cycles. The equity portion captures the upside of economic expansion and corporate earnings. Conversely, the bond component acts as a stabalizer. This synergy aims to optimize risk-adjusted returns.
The Yale Endowment Model, pioneered by David Swensen, moves beyond the traditional 60/40 portfolio by emphasizing a diversification into other asset classes, designed to generate equity-like returns with reduced systemic risk. This model prioritizes broad-market exposure while allocating a significant portion to Real Estate (REITs) and inflation-sensitive assets. The fixed-income component is strategically split between Intermediate Treasuries and Treasury Inflation-Protected Securities (TIPS).
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Hexis Capital's Pieter Vorster on why NICO engages, rather than excludes, a tobacco industry in transition.


Tian Yang discusses capital cycle investing, index concentration, and the mechanics behind its Cycle Aware US Equity ETF (VPX).


Dave O'Donohue of Calamos Investments discusses how CHDG brings the firm's decades of dynamic hedging experience into an actively managed ETF built for a changing market environment.


AI ETFs are becoming increasingly specialized as issuers target potential bottlenecks in data centers, power infrastructure, photonics and other technologies supporting artificial intelligence.


Three ETFs targeting humanoid robotics and physical AI, compared on cost, concentration and geography.


Some ETF issuers are increasingly using their own cash management ETFs inside other funds, keeping short-term liquidity within their product lineup.

White-label ETFs make launching easier. Breaking up is where things get complicated.

The next evolution in futures could open a new playbook for ETF issuers.

There’s no single playbook for ETF success. And the smartest path may not be the obvious one.

ETFs won the battle to make investing cheaper. The next battle is over who can use the wrapper to build better portfolios.

Why the timing of ETF creation and redemption cutoffs can affect execution quality on large orders.

Segments
ETFs
Issuers
| Best performance, 1 week | 1W perf. | YTD perf. |
|---|---|---|
| Cannabis & Psychedelics | +6.51% | -10.25% |
| US Cons. Discretionary | +4.61% | +0.95% |
| Life Sciences | +4.21% | +18.17% |
| New Consumers & Focus | +3.80% | -0.22% |
| US Materials | +3.51% | +13.11% |
| Worst performance, 1 week | 1W perf. | YTD perf. |
|---|---|---|
| LatAm Blended Cap | -18.28% | +2.27% |
| Cybersecurity | -8.23% | +39.79% |
| Cloud Computing | -7.91% | +20.03% |
| Metal ex-Gold | -6.56% | -27.48% |
| Blockchain | -6.49% | -9.84% |
| Most inflows, 1 week | 1W flow | YTD flows |
|---|---|---|
| US Large Cap | +$17.78B | +$313.47B |
| US Government Bonds | +$5.16B | +$71.42B |
| US Info. Technology | +$3.23B | +$39.66B |
| Municipal Bonds | +$3.18B | +$79.12B |
| Intl IG Bonds | +$3.16B | +$42.74B |
| Most outflows, 1 week | 1W flow | YTD flows |
|---|---|---|
| Money Market Bonds | -$7.56B | +$100.58B |
| LatAm Blended Cap | -$1.17B | +$5.37B |
| US Large Cap Value | -$962M | +$39.55B |
| US Mid Cap Value | -$853M | -$1.02B |
| Cryptocurrency | -$827M | +$2.89B |
Data period: October 26 - November 2, 2026
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