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1W flows +$34.64B
1W flows -$313M
1W flows +$1.42B
1W flows +$2.91B
1W flows +$2.83B
1W flows +$556M
1W flows +$214M
1W flows +$75M
1W flows +$1.03B
1W flows +$35M
1W flows +$2.78B
1W flows +$1.24B
1W flows +$799M
1W flows +$115M
1W flows -$130M
1W flows -$1.73B
Last update: Today 6:29 PM
1W flows +$34.64B
1W flows -$313M
1W flows +$1.42B
1W flows +$2.91B
1W flows +$2.83B
1W flows +$556M
1W flows +$214M
1W flows +$75M
1W flows +$1.03B
1W flows +$35M
1W flows +$2.78B
1W flows +$1.24B
1W flows +$799M
1W flows +$115M
1W flows -$130M
1W flows -$1.73B
Survey data shows unfamiliarity, not access, is now the main brake on newer derivative-heavy ETF structures. Here is what to check before you invest.

This income-focused ETF allocation combines residential REITs, mortgage-backed securities, mortgage REITs, and homebuilders for pure-play housing exposure.

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.


Debt issuance among hyperscalers and neoclouds has increased throughout the year, with a number of ETF issuers filing or launching new funds to capitalize on this dynamic.


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.

Before building an ETF operation from scratch, asset managers should first ask how much of it they already have.

ETFs were built to make investing simpler. So what happens when the ETFs themselves stop being simple?

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.

Segments
ETFs
Issuers
| Best performance, 1 week | 1W perf. | YTD perf. |
|---|---|---|
| Niche Commodity | +9.79% | +55.16% |
| New Consumers & Focus | +7.29% | +6.27% |
| Metal ex-Gold | +7.23% | -23.80% |
| US Communication Services Sector | +6.52% | -5.34% |
| Space | +6.27% | +1.13% |
| Worst performance, 1 week | 1W perf. | YTD perf. |
|---|---|---|
| Cannabis & Psychedelics | -7.41% | -12.02% |
| Energy | -6.80% | +94.93% |
| BioTech & Genomics | -5.09% | +54.07% |
| US Energy | -5.07% | +43.31% |
| Cryptocurrency | -4.97% | -16.35% |
| Most inflows, 1 week | 1W flow | YTD flows |
|---|---|---|
| US Large Cap | +$34.64B | +$356.51B |
| US Info. Technology | +$3.29B | +$43.68B |
| US All Cap | +$3.27B | +$76.08B |
| Global Blended Cap | +$2.91B | +$94.92B |
| DM Blended Cap | +$2.83B | +$55.60B |
| Most outflows, 1 week | 1W flow | YTD flows |
|---|---|---|
| US Large Cap Growth | -$3.13B | +$36.65B |
| Cryptocurrency | -$1.73B | +$586M |
| AI & Big Data | -$1.28B | +$4.95B |
| US Communication Services Sector | -$999M | -$3.18B |
| Infrastructure | -$796M | +$18.13B |
Data period: November 4 - 11, 2026
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