Huatai-PB CSI All Share Power Public Service ETF (561560) Rises 2.29%, Institutions: Computing-Power Synergy Development Elevated to National-Level Infrastructure Strategy

NewTimeSpace News - As of 11:09 on March 24, 2026, the Huatai-PineBridge Power ETF (561560) rose 2.29%, with its latest price reaching 1.39 yuan. Looking at a longer timeframe, as of March 23, 2026, the ETF has accumulated a gain of 9.09% over the past month. (The stocks listed above are solely index constituents and do not constitute specific investment recommendations.)

In terms of liquidity, the Huatai-PineBridge Power ETF recorded an intraday turnover rate of 3.59% and a trading volume of 106 million yuan. Over the past month as of March 23, the ETF's average daily trading volume reached 223 million yuan, ranking among the top 2 comparable funds.

Regarding fund size, the Huatai-PineBridge Power ETF has grown by 977 million yuan over the past two weeks, representing a significant increase and ranking 1st among 8 comparable funds in terms of new asset inflows. (Data source: Wind)

In terms of fund shares, the Huatai-PineBridge Power ETF increased by 754 million shares over the past two weeks, achieving substantial growth and ranking 1st among 8 comparable funds in terms of new share additions. (Data source: Wind)

For capital flows, the Huatai-PineBridge Power ETF recorded a net inflow of 21.1791 million yuan in the latest session. Looking at a longer timeframe, the ETF has attracted a total of 225 million yuan over the past 5 trading days. (Data source: Wind)

Data indicates continued positioning by leveraged funds. The Huatai-PineBridge Power ETF recorded a net margin purchase of 8.1663 million yuan on the previous trading day, with its latest margin balance reaching 23.4364 million yuan. (Data source: Wind)

As of March 23, the Huatai-PineBridge Power ETF has gained 27.97% over the past 3 years, ranking first among comparable funds. In terms of return capability, as of March 23, 2026, since its inception, the ETF has achieved a maximum monthly return of 7.79%, a maximum consecutive rising period of 7 months, a maximum consecutive gain of 20.15%, a rising-to-falling month ratio of 27/19, an average monthly return of 3.00% during rising months, an annual profit percentage of 100.00%, a monthly profit probability of 60.19%, and a 100.00% probability of profit for historical 3-year holdings. As of March 23, 2026, the Huatai-PineBridge Power ETF has outperformed its benchmark by 2.81% in annualized returns over the past year, ranking 1st among 5 comparable funds.

As of March 20, 2026, the Huatai-PineBridge Power ETF's Sharpe ratio over the past year was 1.56, ranking 1st among 5 comparable funds, indicating the highest returns for equivalent risk levels.

Regarding drawdown, as of March 23, 2026, the Huatai-PineBridge Power ETF's maximum drawdown this year was 6.81%, with a relative benchmark drawdown of 0.16%, demonstrating relatively lower drawdown risk among comparable funds.

In terms of fee structure, the Huatai-PineBridge Power ETF charges a management fee of 0.50% and a custody fee of 0.10%, representing the lowest fee level among comparable funds.

For tracking accuracy, as of March 23, 2026, the Huatai-PineBridge Power ETF's tracking error over the past 2 months was 0.014%, achieving the highest tracking precision among comparable funds.

The Huatai-PineBridge Power ETF closely tracks the CSI All Share Electric Utilities Index. To reflect the overall performance of securities of companies in different industries among the CSI All Share Index constituents and provide analytical tools for investors, the CSI All Share Index samples are classified into 11 primary industries, 35 secondary industries, over 90 tertiary industries, and over 200 quaternary industries according to the CSI industry classification. All securities entering each primary, secondary, tertiary, and quaternary industry are then used as samples to compile indices, forming the CSI All Share Industry Indices.

GF Securities stated that from top-level design to Token globalization, electricity has become a core asset in the AI era. The 2026 Government Work Report proposed "computing-power synergy" for the first time, formally elevating the coordinated development of electricity and computing power to a national-level new infrastructure strategy. Meanwhile, driven by the combined effects of cost advantages and continuously improving model capabilities, the Token usage of domestic models is expected to continue increasing, thereby further driving global AI computing power demand growth.

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