5 Inverse ETFs to Consider as the Nasdaq Dips 10%

5 Inverse ETFs to Consider as the Nasdaq Dips 10%
Published on: Mar 26, 2026

Since the start of 2026, investors on Wall Street appear to be bidding farewell to the comfort zone of “record-breaking highs” that defined the past few years. As of the closing bell on March 26, the tech-heavy Nasdaq Composite has officially entered correction territory, down 10.7% from its all-time closing high. Meanwhile, the Dow Jones Industrial Average and the S&P 500 have retreated 8.4% and 7.1% from their respective peaks.

As the bullish narrative faces a potential rewrite, market anxiety is intensifying. From the frenzy surrounding AI to a renewed scrutiny of the “Magnificent Seven” valuations, the ongoing pullback signals capital searching for a new equilibrium. For experienced traders, a market downturn is not merely a time to sit on the sidelines. One specific class of tools—inverse ETFs—is becoming a popular choice for hedging risk or expressing bearish views.

What Are Inverse ETFs, and Why Aren’t They for Everyone?

An inverse ETF is an exchange-traded fund designed to deliver the opposite of the daily performance of its underlying index. In simple terms, if the index it tracks falls 1%, the ETF’s net asset value would theoretically rise 1% (or multiple times that, depending on the leverage).

However, these tools are not “buy-and-hold” long-term investments. Mo Sparks, Chief Product Officer at Direxion, cautions: “Inverse ETFs are built for short-term tactical trading and require close daily monitoring because, as well as boosting gains, losses are amplified. That’s why they’re best suited for experienced traders.” Leveraged varieties (such as 3x bearish funds) are particularly sensitive. Due to the effects of compounding, holding them over extended periods in volatile markets can lead to results that deviate significantly from expectations.

Based on the current market environment, here are five inverse ETFs focused on equity markets for your consideration.

1. Direxion Daily AI and Big Data Bear 2x ETF (AIBD)

Risk to Hedge: AI Bubble Burst

As the AI boom continues, some investors have begun drawing parallels to the dot-com bubble. Concerns over circular financing, debt-fueled data center buildouts, and still-developing revenue models for AI adoption have created a market for bearish positions on the AI sector.

AIBD is designed for exactly this view. The fund seeks to deliver -2x the daily return of the Solactive U.S. AI and Big Data Index. Its holdings include familiar tech giants like Amazon (AMZN), Apple (AAPL), and Nvidia (NVDA). Should AI-related stocks face a sell-off, this ETF offers significant hedging flexibility.

2. Direxion Daily Dow Jones Internet Bear 3x ETF (WEBS)

Risk to Hedge: Disruption for Internet Platforms

The rise of AI brings not only opportunities but also the risk of disruption. There is growing concern that generative AI could severely impact the business models of traditional internet platforms, potentially eroding advertising revenue or altering user interaction habits.

WEBS aims to deliver -3x the daily return of the Dow Jones Internet Composite Index. This index covers a wide range of application software and interactive media companies—areas that could be ground zero for AI-driven disruption. For investors who believe internet platforms are facing a valuation reset, WEBS provides a high-leverage tool to express that view.

3. Direxion Magnificent Seven Bear 1x ETF (QQQD)

Risk to Hedge: Magnificent Seven Valuation Reversion

Long-time investors may recall the “Nifty Fifty” of the 1970s—a group of dominant blue-chip stocks that once commanded premium valuations only to eventually face a sharp correction. Today, the Magnificent Seven, which have been the primary drivers of this bull market, are facing similar scrutiny.

QQQD offers a tool for investors betting on a shift in market leadership. This ETF seeks to deliver the -1x daily return of an equal-weighted basket comprising Apple, Alphabet (GOOG), Microsoft (MSFT), Amazon, Nvidia, Tesla (TSLA), and Meta (META). It carries no leverage and is designed purely to hedge against a decline in these megacap stocks.

4. Direxion Daily Energy Bear 2x ETF (ERY)

Risk to Hedge: Pullback in High-Flying Energy Stocks

Benefiting from rising oil prices driven by geopolitical tensions, the energy sector has emerged as one of the best-performing industries this year, with gains exceeding 30%. However, the energy sector is notoriously cyclical, and the profit surge from high oil prices is often difficult to sustain.

For investors who believe energy stocks have peaked and are due for a mean reversion, ERY is a compelling option. The fund seeks to deliver -2x the daily return of the Energy Select Sector Index, which covers large-cap energy companies in the S&P 500. Should oil prices come under pressure or profit-taking emerge, ERY has the potential to generate significant returns.

5. ProShares UltraPro Short Russell 2000 ETF (SRTY)

Risk to Hedge: Vulnerability of Small-Cap Stocks

During market downturns, cyclical small-cap stocks often exhibit greater downside volatility than their large-cap counterparts. Many smaller companies have weaker earnings bases, less resilient balance sheets, and higher sensitivity to an economic slowdown or tighter credit conditions.

SRTY aims to deliver -3x the daily return of the Russell 2000 Index. This index includes a large number of pre-profit or growth-stage companies. When risk aversion rises and capital flows out of high-risk segments, SRTY can capture the amplified losses of the small-cap index.

Final Thoughts

For ordinary investors, shorting the market directly or using leveraged inverse ETFs carries significant risk. As industry experts note, these tools are best suited for short-term tactical hedging rather than long-term asset allocation. As the three major U.S. stock indexes face pressure at high levels and market leadership appears poised for a shift, understanding and properly utilizing these instruments may provide an added layer of composure in a turbulent market environment.

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