Compare Roundhill Innov-100 0DTE Covered Call Strat ETF (QDTE) vs Rigetti Computing Inc (RGTI) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Roundhill Innov-100 0DTE Covered Call Strat ETF vs Rigetti Computing Inc — how do they compare? Roundhill Innov-100 0DTE Covered Call Strat ETF trades at $29.47 (market cap $962.24M), while Rigetti Computing Inc trades at $14.03 (market cap $4.72B). The key difference: Rigetti Computing Inc is far larger — about 4.9× Roundhill Innov-100 0DTE Covered Call Strat ETF's market cap, and Roundhill Innov-100 0DTE Covered Call Strat ETF is trading nearer its 52-week high, Rigetti Computing Inc nearer its low. Which is the better fit depends on your goals — on Pluang, investors hold Roundhill Innov-100 0DTE Covered Call Strat ETF for 57 Days and Rigetti Computing Inc for 35 Days on average.
| QDTE | RGTI | |
|---|---|---|
Market Cap | $962.24M | $4.72B |
Volume | 882,859 | 17,136,381 |
Sector | Income / Options Overlay | Technology |
52-Week High | $36.60 | $56.34 |
52-Week Low | $26.85 | $12.90 |
Typical Hold Time | 57 Days | 35 Days |
Enterprise Value | — | $4.33B |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
QDTE (Roundhill Nasdaq-100 0DTE Covered Call Strategy ETF) trades at $29.50, down 1.3% today amid bearish technical signals. The ETF generates weekly income through covered call strategies on Nasdaq-100 components, with recent distributions ranging from $0.11-$0.28. Technical indicators show mixed signals with overall bearish momentum, while fundamental data remains limited for this specialized income-focused product.
The outlook remains cautious as declining volatility pressures distribution yields, with recent payouts suggesting a more sustainable 24-31% annualized yield versus the trailing 43%. Key risks include NAV erosion from return of capital and underperformance in bull markets due to capped upside potential from daily call writing strategies.
RGTI trades at $14.03, down 3.84% with bearish technical signals despite bullish oscillators. The company shows minimal revenue of $7.09M (2025) with significant losses (-$216.21M net income) and negative margins. Analyst consensus remains strong with 85.71% buy ratings and $21.67 price target, while recent news highlights quantum computing sector momentum and Rigetti's hybrid quantum-HPC partnerships.
RGTI presents high-risk speculative potential with Wall Street optimism contrasting weak fundamentals. The stock offers substantial upside to analyst targets but faces execution risks in commercializing quantum technology amid persistent cash burn and competitive pressures from better-funded peers.
Returns comparison
Trailing returns across standard periods
Returns comparison
Trailing returns across standard periods
Investor sentiment on Pluang
What Pluang investors did over the last 30 days
Investor sentiment on Pluang
What Pluang investors did over the last 30 days
About Roundhill Innov-100 0DTE Covered Call Strat ETF
QDTE is an actively managed ETF that seeks to generate income through a covered call strategy on the NASDAQ 100. It primarily holds a portfolio of U.S. government securities and sells 0-DTE (zero days to expiration) index call options on the NASDAQ 100. This highly tactical strategy aims to maximize option premium capture by exploiting the rapid time decay of options expiring on the same day, which provides enhanced income but also exposes the fund to significant volatility and risks associated with daily options settlement.
Read more on QDTE →About Rigetti Computing Inc
Rigetti Computing, Inc. is a pioneer in quantum computing, focusing on developing and deploying quantum-classical computing systems. The company designs and fabricates superconducting quantum processors and integrates them with a full-stack software and control platform. Rigetti offers access to its quantum computers through the cloud, aiming to solve complex computational problems that are intractable for classical computers, with applications in finance, chemistry, and machine learning.
Read more on RGTI →
