Zhipu AI (ZHIPU) news: what is happening today

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2026-07-23

Market summary from our own Hyperliquid data · updated 2026-07-25 04:14 UTC

Zhipu AI: Large wallets keep buying into weakness

Zhipu AI is down 46.31% over a month. The drop has not shaken large Hyperliquid wallets, which still hold a net-long book — a divergence worth watching.

What matters on Zhipu AI right now?

Zhipu AI is under price pressure while large Hyperliquid wallets keep a net-long book — the split between price and positioning is the story right now. What stands out right now:

Large wallets keep buying into weakness2026-07-2568% of active large-wallet money is positioned long — $2.2 M against $1.0 M across 27 wallets.
Trading volume spiked to 3.2× the monthly norm2026-07-23$11.5 M traded in a day, with price −5.12% on the session.
Leverage is paying up to stay positioned2026-07-25Funding runs at 33.61% a year — shorts pay longs, with $5.0 M of open interest.

What does the Zhipu AI data show?

1. Large wallets keep buying into weakness

68% of active large-wallet money on Zhipu AI is positioned long right now: $2.2 M long against $1.0 M short, spread over 27 wallets on Hyperliquid. Price has fallen 46.31% over the period, and that book has not flipped with it. Large wallets sitting net-long into weakness is the classic accumulation shape — it is also the shape of a crowd that is simply wrong, so treat it as an imbalance to watch, not a signal to copy. These are open positions read from the chain, not opinions, and they change daily.

Long money$2.2 M · 11 wallets

Short money$1.0 M · 16 wallets

Full whale positioning across all markets →

2. Trading volume spiked to 3.2× the monthly norm

Turnover reached $11.5 M in a single day, about 3.2× the median of the previous month, while price moved −5.12%. Volume does not tell you direction, but it tells you conviction: moves made on thin volume are much easier to reverse than moves the whole market participated in.

3. Leverage is paying up to stay positioned

Perpetual funding runs at 33.61% annualised, so shorts are paying longs to keep their positions open. Funding is a crowding tax: the more one-sided the book, the more it costs to stay on that side, and the more likely the weakest hands there get squeezed out. Open interest stands at $5.0 M — that is the size of the leveraged book that has to be closed eventually.

Funding (annualised)−33.6%

Open interest$5.0 M

What has already happened to Zhipu AI?

July 2026

2026-07-23Volumereconstructed
ZHIPU traded $11.5 M, 3.2× its 30-day median volume while price moved −5.12%30-day median volume $3.6 M
−5.12%

Entries are produced by the Spottrench algorithm from Hyperliquid data.

The bottom line

There is not enough history here for a firm verdict. On the last closed day Zhipu AI fell 0.04% against a category median of +0.18%, with 22 of 65 markets in the category closing lower. We do not claim to know why Zhipu AI moved — everything above is measurement, not a cause.

Full ZHIPU factor breakdown and price prediction →

Frequently asked questions

What is the latest news on Zhipu AI?

The most recent development we recorded is: Large wallets keep buying into weakness (2026-07-25). This page is a dated log computed from market data rather than a press feed — every entry is a measurement with the date it happened.

How often is the Zhipu AI page updated?

Once a day: it is recomputed after the daily candle closes, and the time of the last update is printed at the top of the page. Log entries are dated by the day the event happened, not the day we published it.

Where does the Zhipu AI data on this page come from?

From Hyperliquid directly: daily candles, open interest, funding and the on-chain positions of active large wallets. Nothing here is copied from another site's article, and no language model writes the text — the wording is generated from the numbers by fixed rules.

Is this Zhipu AI page investment advice?

No. It is an algorithmic summary of measured market data from Hyperliquid — price moves, positioning, derivatives and our own model. It is not investment advice and past performance does not guarantee future results.