Compare iShares China Large-Cap ETF (FXI) vs NEOS S&P 500 High Income ETF (SPYI) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
iShares China Large-Cap ETF vs NEOS S&P 500 High Income ETF — how do they compare? iShares China Large-Cap ETF trades at $33.95 (market cap $3.86B), while NEOS S&P 500 High Income ETF trades at $53.99 (market cap $12.50B). The key difference: NEOS S&P 500 High Income ETF is far larger — about 3.2× iShares China Large-Cap ETF's market cap, and NEOS S&P 500 High Income ETF is trading nearer its 52-week high, iShares China Large-Cap ETF nearer its low. Which is the better fit depends on your goals — on Pluang, investors hold iShares China Large-Cap ETF for 149 Days and NEOS S&P 500 High Income ETF for 57 Days on average.
| FXI | SPYI | |
|---|---|---|
Market Cap | $3.86B | $12.50B |
Volume | 16,323,837 | 3,058,962 |
52-Week High | $41.08 | $54.42 |
52-Week Low | $31.59 | $47.98 |
Typical Hold Time | 149 Days | 57 Days |
Sector | — | Income / Options Overlay |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
FXI, the iShares China Large-Cap ETF, trades at $33.42, down 1.04% with bearish technical signals from moving averages. The ETF faces headwinds from China's economic challenges and trade tensions, though it trades at a significant discount to U.S. equities with a P/E of 11.10 versus the S&P 500's 22.54. Recent geopolitical developments from the Trump-Xi summit and China's export dynamics create mixed sentiment.
The outlook remains cautious with technical indicators signaling selling pressure, while fundamental valuation appears attractive for risk-tolerant investors seeking China exposure. Key risks include ongoing U.S.-China tensions, China's industrial overcapacity, and weak domestic consumption that could limit upside potential despite the valuation discount.
SPYI trades at $54.01, down 0.13% with a bullish technical outlook from moving averages but neutral oscillators. The ETF maintains consistent monthly dividend distributions around $0.53-$0.54, though recent analysis highlights concerns about principal erosion from covered call strategies. Media coverage focuses heavily on retirement income strategies and the trade-offs between high yields and capital preservation.
The outlook remains cautious as SPYI faces scrutiny over whether its high income distributions come at the expense of long-term capital growth. While technical indicators suggest near-term strength, fundamental concerns about the sustainability of covered call returns and sequence risk for retirees present significant headwinds for investors seeking both income and principal protection.
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 iShares China Large-Cap ETF
The fund generally will invest at least 80% of its assets in the component securities of its underlying index and in investments that have economic characteristics that are substantially identical to the component securities of its underlying index. The index designed to measure the performance of the largest companies in the Chinese equity market that trade on the Stock Exchange of Hong Kong and are available to international investors. The fund is non-diversified.
Read more on FXI →About NEOS S&P 500 High Income ETF
SPYI is an actively managed ETF designed to generate high monthly income through a data-driven call option strategy on the S&P 500 Index. Unlike traditional covered call funds that often forfeit significant upside, SPYI utilizes a 'call spread' approach—selling near-the-money calls while buying out-of-the-money calls—to capture a portion of equity appreciation in rising markets. It prioritizes tax efficiency by utilizing Section 1256 contracts and tax-loss harvesting to provide investors with high-yield monthly distributions.
Read more on SPYI →
