NewTimeSpace News, as of 10:09 on March 12, 2026, Power ETF (159611) rose 1.27%, with the latest price at 1.19 yuan. Looking at a longer time frame, as of March 11, 2026, Power ETF has cumulatively gained 6.61% over the past week, ranking 3rd among 8 comparable funds in terms of gains. (The stocks listed above are index constituents only and do not represent specific recommendations.)

In terms of liquidity, Power ETF recorded a turnover rate of 3.97% intraday, with trading volume reaching 242 million yuan. Looking at a longer time frame, as of March 11, the average daily trading volume over the past week was 562 million yuan, ranking first among comparable funds.

In terms of scale, Power ETF has a latest scale of 6.051 billion yuan, hitting a new high for the past year and ranking 1st among 8 comparable funds. (Data Source: Wind)

In terms of shares, Power ETF has reached 5.146 billion shares most recently, hitting a new high for the past year and ranking 1st among 8 comparable funds. (Data Source: Wind)

Regarding capital inflows, Power ETF recorded a net capital inflow of 134 million yuan most recently. Looking at a longer time frame, there were net capital inflows on 4 out of the past 5 trading days, totaling 791 million yuan in "capital attraction," with an average daily net inflow of 158 million yuan. (Data Source: Wind)

Data shows that leveraged funds continue to build positions. Power ETF recorded a latest margin purchase amount of 47.1902 million yuan, with the latest financing balance reaching 152 million yuan. (Data Source: Wind)

As of March 11, Power ETF has risen 33.72% in net asset value over the past 3 years. In terms of return capability, as of March 11, 2026, since its inception, Power ETF has achieved a maximum monthly return of 7.80%, a longest consecutive rising streak of 7 months, a maximum consecutive gain of 20.47%, a rising-to-falling month ratio of 28/21, an average return of 3.24% during rising months, an annual profitability percentage of 75.00%, and a historical 2-year holding profitability probability of 92.84%. As of March 11, 2026, the annualized excess return over the benchmark for the past 1 year is 2.52%, ranking among the top 2 out of 5 comparable funds.

As of March 6, 2026, the Sharpe ratio of Power ETF over the past 1 year is 1.65, ranking among the top 2 out of 5 comparable funds, indicating higher returns for equivalent risk.

In terms of drawdown, as of March 11, 2026, the maximum drawdown of Power ETF year-to-date is 3.66%, with a relative benchmark drawdown of 0.10%, representing relatively low drawdown risk among comparable funds. The recovery period after drawdown was 24 days, representing relatively fast recovery among comparable funds.

In terms of fees, Power ETF has a management fee of 0.50% and a custody fee of 0.10%, representing the lowest fee structure among comparable funds.

Regarding tracking accuracy, as of March 11, 2026, the year-to-date tracking error of Power ETF is 0.013%, representing the highest tracking accuracy among comparable funds.

Power ETF closely tracks the CSI All Share Power Utilities Index. To reflect the overall performance of securities of companies in different industries within the CSI All Share Index samples and provide analytical tools for investors, the CSI All Share Index samples are classified into 11 first-level industries, 35 second-level industries, over 90 third-level industries, and over 200 fourth-level industries according to the CSI industry classification. All securities entering each first, second, third, and fourth-level industry are then used as samples to compile the index, forming the CSI All Share Industry Indices.

On the news front, IDC predicts that China's data center electricity consumption will reach 390.7–820.6 billion kWh by 2030, accounting for 3%–5.3% of total societal electricity consumption; the Yangtze River Delta hub node already faced a power shortage of 610.8 billion kWh in 2025, with localized electricity shortage pressure continuing to intensify.

Huachuang Securities believes that against this backdrop, "computing-power synergy" has not only become a policy priority but has also given rise to new practical models such as green power direct connection, virtual power plants, and optimized electricity market mechanisms.

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