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1W flows +$39.57B
1W flows +$584M
1W flows +$1.82B
1W flows +$2.30B
1W flows +$3.73B
1W flows +$447M
1W flows +$271M
1W flows +$49M
1W flows +$656M
1W flows +$2.90B
1W flows +$2.92B
1W flows +$1.33B
1W flows +$179M
1W flows +$685M
1W flows -$50M
1W flows -$2.56B
Last update: Today 6:25 PM
1W flows +$39.57B
1W flows +$584M
1W flows +$1.82B
1W flows +$2.30B
1W flows +$3.73B
1W flows +$447M
1W flows +$271M
1W flows +$49M
1W flows +$656M
1W flows +$2.90B
1W flows +$2.92B
1W flows +$1.33B
1W flows +$179M
1W flows +$685M
1W flows -$50M
1W flows -$2.56B
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.

Two ETFs can hold the same assets, yet trade at very different prices. The difference may come down to who's buying and who's selling.

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. |
|---|---|---|
| New Consumers & Focus | +9.67% | +6.44% |
| Volatility | +7.77% | +2.71% |
| Niche Commodity | +7.40% | +52.35% |
| Life Sciences | +7.30% | +27.89% |
| US Communication Services Sector | +6.83% | -6.41% |
| Worst performance, 1 week | 1W perf. | YTD perf. |
|---|---|---|
| Energy | -12.79% | +95.25% |
| US Energy | -11.87% | +39.97% |
| Cybersecurity | -6.66% | +36.58% |
| Multi-Commodity | -6.50% | +33.64% |
| Cloud Computing | -5.82% | +16.76% |
| Most inflows, 1 week | 1W flow | YTD flows |
|---|---|---|
| US Large Cap | +$39.57B | +$343.09B |
| DM Blended Cap | +$3.73B | +$55.14B |
| US All Cap | +$3.34B | +$75.45B |
| Municipal Bonds | +$2.95B | +$81.14B |
| US Corporate IG Bonds | +$2.92B | +$73.31B |
| Most outflows, 1 week | 1W flow | YTD flows |
|---|---|---|
| Cryptocurrency | -$2.56B | +$1.11B |
| US Large Cap Growth | -$2.19B | +$38.81B |
| AI & Big Data | -$1.40B | +$4.97B |
| US Financials | -$1.24B | -$4.25B |
| US Communication Services Sector | -$1.10B | -$3.05B |
Data period: November 2 - 9, 2026
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