These 2 ETFs Have Been Red-Hot: Can it Continue?

The piece compares leveraged ETFs Direxion Daily S&P 500 Bull 3X (SPXL) and ProShares Ultra QQQ (QLD), noting SPXL’s lower expense ratio (0.93% vs. 0.98%), higher 5‑year growth on $1,000 invested ($3,127 vs. $2,370), but similar five‑year drawdowns (~-63.8% each). QLD manages roughly $10.7bn versus SPXL’s $5.9bn, is much more tech‑concentrated (53% tech, 17% communication services) versus SPXL’s broader S&P 500 exposure (35% tech, 13% financials, 11% communication services), and both reset daily leverage—raising path‑dependence and volatility risk; recent performance: 2025 returns strong (QLD +30%, SPXL +27%) and YTD as of Feb. 3, 2026 QLD +1.2% vs SPXL +4.7%.

Analysis

Market structure: Leveraged ETFs (SPXL, QLD) amplify demand for underlying large-cap equities and concentrate flows into the biggest tech names (NVDA, AAPL, MSFT). Winners: issuers (Direxion, ProShares) from fee income and liquidity providers benefiting from bid/ask turnover; winners also include index-heavy megacaps via flow-driven price support. Losers: active managers and retail holders who mis-time multi-day holds due to daily reset decay; crowded QLD positions raise liquidation/market-impact risk if tech reverses.

Risk assessment: Key tail risks are a >20–30% fast drawdown in NVDA/AAPL/MSFT inside 10 trading days triggering accelerated leveraged ETF de-grossing, a regulatory shock to Big Tech, or abrupt Fed rate shocks that lift real yields. Immediate (days): amplified intraday volatility and option skew; short-term (weeks/months): path-dependent compounding causes divergence between ETF and index returns; long-term (quarters/years): fee drag and volatility decay can erode returns >5–10% cumulatively if sideways markets persist. Hidden dependency: correlated positioning between leverage products, options, and single-stock futures can create feedback loops on gamma hedging days.

Trade implications: For tactical risk-on windows (1–3 months), SPXL is the preferred instrument vs QLD due to broader sector diversification and superior 5‑yr realized growth ($3,127 vs $2,370 per $1k). Use defined-risk option constructions: buy 3-month call spreads on NVDA (50/70 delta) sized to 0.5–1% portfolio to capture continued AI upside; protect leveraged positions with 1-month 10–15% OTM puts on QQQ/QLD sized to 25–50% of notional. Pair trades: go long SPXL and hedge tech concentration by shorting NVDA outright or buying NVDA puts to isolate S&P beta from tech skew.

Key Decisions for Investors

• Establish a tactical 1–2% portfolio long in SPXL for a 1–3 month window to capture risk-on upside; hard stop if SPXL falls 25% from entry or VIX spikes above 25.
• Limit QLD to intraday/momentum trades only (<=0.5–1% portfolio) and avoid multi-week holds; if holding longer than 5 trading days, hedge with 1-month 10–15% OTM puts on QQQ sized to 50% of your QLD notional.
• Buy a defined-risk 3-month call spread on NVDA (buy 50-delta, sell 70-delta) sized 0.5–1% portfolio to play continued AI upside while capping premium; exit on 40% realized gain or ahead of NVDA earnings if volatility expands >+50% IV.
• If you expect mean reversion in tech, implement a pair trade: long SPXL 1.5% portfolio and short NVDA equity equal to 0.75% portfolio (or buy NVDA 3-month 20% OTM puts) to neutralize S&P beta and short concentrated tech exposure; cover if NVDA falls >30% or SPXL outperforms by >20% relative to QLD.
• Defer any increase in aggregate leveraged-ETF exposure above 3% of portfolio until after the next two macro catalysts (next Fed decision and NVDA quarterly report, both within ~30–60 days) clear; these events materially change short-term path risk for levered products.