ChinaAMC CSI Cloud Computing And Big Data Theme ETF(516630) Falls 3.61%, Sees Net Inflow of 13.3129 Million Yuan Over the Past 5 Trading Days

NewTimeSpace News, as of 13:39 on May 14, 2026, ChinaAMC Cloud Computing ETF (516630) fell 3.61%, with its latest quoted price at 1.87 yuan. Looking at a longer timeframe, as of May 13, 2026, ChinaAMC Cloud Computing ETF gained 6.01% over the past week, ranking 2/5 among comparable funds in terms of increase. (The stocks listed above are merely index constituents and do not constitute any specific recommendation.)

In terms of liquidity, ChinaAMC Cloud Computing ETF recorded an intraday turnover rate of 14.43%, with a trading volume of 113 million yuan, indicating active market trading. Over a longer horizon, as of May 13, the ETF's average daily turnover over the past week stood at 71.3486 million yuan, ranking in the top 2 among comparable funds.

Regarding scale, the latest AUM of ChinaAMC Cloud Computing ETF reached 794 million yuan, hitting a one-year high and ranking 2/5 among comparable funds. (Data source: Wind)

In terms of share size, ChinaAMC Cloud Computing ETF's share count increased by 7.00 million units over the past week, achieving significant growth, with the new share increment ranking 2/5 among comparable funds. (Data source: Wind)

In terms of capital inflows, the latest net inflow for ChinaAMC Cloud Computing ETF was 15.1959 million yuan. Looking at a longer timeframe, over the past five trading days, the total net inflow amounted to 13.3129 million yuan. (Data source: Wind)

Data shows that leveraged funds continue to position themselves. The net margin purchase amount for ChinaAMC Cloud Computing ETF on the previous trading day reached 4.6257 million yuan, and the latest margin balance stood at 10.7336 million yuan. (Data source: Wind)

As of May 13, ChinaAMC Cloud Computing ETF's net value increased by 72.71% over the past year, ranking first among comparable funds and 758th out of 3,837 equity index funds, placing it in the top 19.76%. In terms of return capability, as of May 13, 2026, since its inception, the ETF achieved a highest single-month return of 34.25%, a longest consecutive gaining streak of four months with a cumulative gain of 53.58%, an average return of 9.43% during up months, an annual positive return rate of 75.00%, and a historical three-year holding period profitability probability of 90.51%. As of May 13, 2026, the ETF's annualized excess return over its benchmark over the past three months was 3.88%, ranking 1/5 among comparable funds.

As of May 8, 2026, ChinaAMC Cloud Computing ETF's one-year Sharpe ratio was 1.88, ranking 1/5 among comparable funds, delivering the highest return for the same level of risk.

In terms of drawdown, as of May 13, 2026, ChinaAMC Cloud Computing ETF's relative drawdown versus its benchmark since the beginning of the year was 0.08%, indicating relatively low drawdown risk among comparable funds.

In terms of fees, ChinaAMC Cloud Computing ETF has a management fee rate of 0.15% and a custody fee rate of 0.05%, the lowest fee rates among comparable funds.

In terms of tracking accuracy, as of May 13, 2026, ChinaAMC Cloud Computing ETF's three-year tracking error was 0.022%, the highest tracking precision among comparable funds.

From a valuation perspective, the latest price-to-earnings ratio (PE-TTM) of the CSI Cloud Computing & Big Data Theme Index, which ChinaAMC Cloud Computing ETF tracks, is only 85.14 times, placing it at the 5.45th percentile over the past year—meaning the valuation is lower than that of over 94.55% of the time in the past year, indicating a historically low level.

ChinaAMC Cloud Computing ETF closely tracks the CSI Cloud Computing & Big Data Theme Index. The CSI Cloud Computing & Big Data Theme Index selects 50 listed company securities whose businesses involve providing cloud computing services, big data services, and related hardware equipment for these services as index constituents, in order to reflect the overall performance of listed company securities in the cloud computing and big data theme.

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