Over the past quarter, while the vast majority of decentralized trading platforms reported negative unrealized PnL, two names stood alone in the green: Hyperliquid and Hyperion. The numbers, published by Cointelegraph and echoed by Crypto Briefing, suggest that these two platforms are not just surviving the bear market — they are thriving. But as someone who spent 2022 auditing the collapse of over a dozen DeFi protocols, I’ve learned that a single positive metric can often conceal deeper structural fractures.
Let’s start with the context. Unrealized PnL for a protocol reflects the mark-to-market value of its treasury, market-making inventory, or liquidity provider positions. In a prolonged downtrend, most DATs bleed because their natural exposure to volatile assets drags the book underwater. That Hyperliquid and Hyperion have bucked the trend demands scrutiny — not celebration.
How are they doing it? I dug into the available data, which remains frustratingly opaque. For Hyperliquid, a platform known for its high-throughput perpetual contract engine and its controversial centralized sequencer, the positive PnL likely stems from a combination of aggressive risk management and proprietary trading. The protocol’s team, which remains pseudonymous, operates a market-making desk that captures a portion of the bid-ask spread. In a low-volatility environment, that desk can generate steady profits. But here’s the rub: that profitability is not decentralized. It relies on a centralized team’s ability to execute trades, manage risk, and control the order flow.
Hyperion, a far less known entity, is harder to evaluate. Its documentation is scarce, its team virtually anonymous, and its codebase unverified by any major auditing firm. Based on my experience translating whitepapers for the Ethereum Classic community, I know that when a project lacks transparency, the probability of hidden failure modes spikes. Positive unrealized PnL could come from its native token being used as collateral in its own treasury — a circular accounting trick that inflates book value until the token price collapses.
Let’s examine the broader market impact. The narrative that “only two DATs are profitable” has already been weaponized by community managers and influencers. It’s a classic “survivor bias” hook, designed to attract liquidity from weary investors. I’ve seen this before: in the summer of 2021, a handful of stablecoin protocols boasted “real yield” above 20% APR. Most were revealed to be Ponzi-like structures that relied on token inflation. The current narrative carries the same scent.
The contrarian angle is unavoidable. Positive unrealized PnL, when realized, often reveals itself as a portfolio of illiquid positions that cannot be exited without moving the market. If both platforms attempt to cash out their gains, the very act of selling could erase the paper profit. Furthermore, the metric itself may be misleading. Is it gross PnL before fees? Net of operational costs? Does it include the planned unlock of team tokens? Cointelegraph did not provide these details, and until the underlying data is published on a public dashboard like Dune or TokenTerminal, the figure should be treated as marketing.
I’ll offer a personal anecdote. During the 2022 bear market, I audited a medium-sized L1 that reported “positive treasury PnL” in its quarterly report. The truth, uncovered after two months of forensic analysis? The team had used a flash loan to temporarily inflate the price of their governance token, booked the gain, then repaid the loan, leaving the treasury with a worthless mark. The protocol collapsed three weeks later. The lesson: when data is presented without transparent methodology, treat it as an invitation to dig, not to invest.
Now, let’s turn to the structural issues. Hyperliquid’s reliance on a centralized sequencer is not a minor detail — it’s the keystone of its profitability. By controlling the order flow, the sequencer can front-run trades or manipulate the matching engine to favor the protocol’s own positions. This is technically legal within the platform’s terms, but it corrodes the foundational promise of decentralized finance: trustless neutrality. We chart the code, but the soul chooses the path.
Hyperion, on the other hand, appears to be a small-scale operation. Its positive PnL could be the result of a lucky directional bet that happened to align with a brief market rally. Without a track record of at least four quarters of positive PnL, it’s impossible to distinguish skill from randomness.
Where does this leave the reader? The impulse to chase the “only green platforms” is understandable. But survival in a bear market is about avoiding landmines, not sprinting toward dim lights. I would suggest three actions:
- Demand raw data. If the protocol cannot produce a live on-chain dashboard of its treasury positions, walk away.
- Evaluate centralization. For Hyperliquid, ask yourself: can the sequencer seize funds or censor trades? If yes, the PnL is not yours.
- Compare with peers. Look at dYdX’s quarterly financials (they are public). If dYdX, with its mature risk engine, still reports negative PnL, what makes Hyperion so special?
The final takeaway. Positive unrealized PnL is a data point, not a thesis. In the coming weeks, more platforms will likely report similar figures as the market stabilizes. The true test will be whether these two can maintain profitability when volatility returns. Until then, let’s keep our skepticism sharp and our capital safe.
“We chart the code, but the soul chooses the path.”