Hyperliquid ecosystem today witnessed two seemingly unrelated big news.
One took place on Nasdaq: Hyperliquid Strategies (NASDAQ: PURR) increased the total commitment amount for equity financing tools from $1 billion to $2.5 billion, with the raised funds available for general corporate purposes, including possibly purchasing HYPE.
The other occurred on-chain: Minara analyzed 43,618 Hyperliquid addresses and ultimately selected 12 high-scoring addresses from 1,681 qualifying profitable accounts to study their trading behavior. The results showed that the most common way to make money was not betting heavily in one direction but rather high turnover, two-way execution.
On one side, a publicly traded company opened a $2.5 billion capital door, while on the other, profitable accounts repeatedly earned small advantages in tens of thousands of trades. Together, they illustrate one thing:
The real smart money competes not on who shouts the loudest or holds the largest positions, but on who can allocate and rotate capital more effectively.
Don't rush to shout "the $2.5 billion buy order"—this financing should be viewed this way
According to the Form 8-K submitted by Hyperliquid Strategies on September 1, 2026, the company revised the ChEF Purchase Agreement with Chardan Capital Markets, raising the total commitment amount for newly issued common stock from $1 billion to $2.5 billion, an increase of $1.5 billion, or 150%.
This is a demand-driven equity financing tool. The company can issue a VWAP or intraday VWAP purchase notice to Chardan for selling newly issued common stock when conditions of the agreement are met; however, the company is not obliged to utilize the entire amount, and the $2.5 billion is not cash already received.
The revised terms also stipulate that after cumulative sales reach $1 billion, if subsequent shares are issued at a price below $12.02 per share, the related issuance generally cannot exceed 42,641,847 shares, which is 19.99% of the shares issued prior to the revision; unless shareholders approve the excess issuance, or Nasdaq rules do not require approval.
This limitation not only alerts the market to potential dilution but also indicates that PURR's model is not about “unconditionally printing stock to buy coins.” It requires finding a balance among financing price, equity expansion, and efficiency of HYPE allocation.
As of August 19, 2026, the company disclosed that it has raised $646.6 million through existing equity financing tools at an average issuance price of $8.70 per share; during the same period, it held 29.3 million HYPE and retained $132.6 million in cash and cash-like assets.
Therefore, to assess whether this strategy is successful, one cannot just look at “how much HYPE has been bought in total.” For PURR shareholders, a more critical question is: can the funds from issuing one new share buy enough HYPE to improve the HYPE exposure per share and the net asset value per share, rather than being diluted by the new equity?
43,600 addresses tell you: profitable accounts rarely rely on "all-in bets"
If PURR demonstrates capital allocation at the company level, then Minara's address study shows funding efficiency at the trading account level.
The study first summarized the account value, daily, weekly, monthly, and historical PnL, ROI, and trading volume data of 43,618 Hyperliquid addresses, then filtered for accounts with a value of at least $10,000, positive historical PnL and ROI, cumulative trading volume of at least $1 million, and monthly trading volume of at least $100,000, ultimately resulting in 1,681 accounts; it subsequently selected 12 addresses with higher comprehensive scores for further study of their public transaction records.
Notably, 8 of the high-turnover addresses. The research sample included a total of 16,000 transactions with a trading volume of $51.37 million, with buying accounting for 49.4% and selling for 50.6%. Within the transaction range returned by the API, 6 of the 8 addresses achieved positive net gains from closed positions, totaling $156,464, which is equivalent to 0.305% of the sample trading volume.
0.305% may not seem impressive, yet it may precisely represent the nature of professional trading: not waiting for a “hundredfold opportunity,” but instead capturing small advantages through price differences, mean reversion over short cycles, execution, or hedging while controlling inventory risk.
In contrast, while 3 actively trading day or ultra-short-term addresses have a historical cumulative profit of $61.43 million on the leaderboard, their API-reported net gains from closed positions are all negative within the visible sample range. This does not imply that these accounts’ overall strategies have failed but serves as a reminder of a frequently overlooked fact:
Historical profits, current positions, and real trading systems are three different things.
Seeing that an address holds long positions does not mean it is bullish overall; it may be hedging in other markets or executing a loss leg of a larger strategy. Simply copying the “last trade” often fails to replicate its rhythm, position, cost, and risk management.
Public companies and on-chain accounts are essentially solving the same problem
PURR converts the stock demand in the capital market into funding capabilities for purchasing HYPE and supporting company operations through equity financing; high turnover accounts convert small market advantages into cumulative PnL through frequent and two-way execution.
While differing in scale, the problems they face are similar:
Thus, what is most worthy of promotion today is not "the $2.5 billion buy order is coming soon," nor "finding 12 addresses means easy profit." What is truly worth learning is: institutions manage capital through financing discipline, while mature trading accounts manage risk through execution discipline.
Tracking smart money is not about copying homework but understanding how it solves problems
This is also the most valuable use of AiCoin's mobile “smart money tracking.”
Users do not have to linger on the single-point information of “what a certain whale has gone long on” but can continue to observe whether it builds positions in batches, whether buying and selling are balanced, whether positions are concentrated, whether funds are overly heated, and whether the account is adding positions during trends or high-frequency rotating inventory. Combining professional candlesticks and long-short data can restore a static address into a dynamic trading behavior.
Once the logic is verified by data, it can then connect AiCoin to Hyperliquid for quick ordering; after the trade is complete, continue to manage different assets and positions uniformly on the mobile end. In this way, “smart money” is no longer just a string of addresses used for tracking but a set of decision-making processes that can be observed, deconstructed, and improved.
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