Half I requested whether or not an AMM floor shaped. Half II opened the pool. This piece appears on the different state object: posted depth in a CLOB.
Hyperliquid turned laborious to disregard for multiple purpose.
HYPE’s value motion helped draw consideration. I don’t deal with token efficiency as market-structure proof. Charges are the cleaner hook: in a 2026 H1 DeFiLlama pull (Jan 1–Jun 30 UTC), Hyperliquid logged about $419 million, forward of Aave and Uniswap in the identical peer set.
Reuters, citing CryptoQuant, additionally named Hyperliquid amongst main offshore perp venues in a report on 2025 perp quantity: $61.7 trillion globally, towards $18.6 trillion in spot. I’m not merging that headline determine with DeFiLlama every day charges; the scopes differ. It solely explains why this isn’t a random venue decide.
The context is noisy. If marginal capital is crowding into AI, a couple of high-attention names, or leveraged venues, weak spot exercise can appear like an AMM downside earlier than it’s one. Charges make Hyperliquid price inspecting. They don’t determine the pool-versus-book query.
When the market kinds with out a pool, what state object replaces it?
Hyperliquid is the case research as a result of its public data API exposes sufficient guide state to make that query answerable.
This isn’t an AMM loss of life declare
“AMM is dying” bundles too many claims-volume share, LP economics, launch patterns, dealer consideration. I’m not adjudicating all of them.
The helpful query is narrower: what market object suits the product?
Callable spot nonetheless maps to swimming pools. Perps want margin, funding, liquidation, open curiosity, and place accounting-state a passive curve doesn’t carry by itself. That cut up is previous in TradFi. What’s newer on-chain is inspectability: charge movement giant sufficient to note, plus public APIs that return guide, funding, and OI fields.
For an AMM, the audit begins with reserves and swaps. For a CLOB, it begins with bids, asks, fills, funding, open curiosity, and no matter slices of the danger engine leak out. Charge rank doesn’t settle that cut up.
When a non-AMM venue each collects actual charges and publishes l2Book, the guide stops being solely a UI widget. It turns into a partial market object-imperfect, capped at 20 ranges per facet in Hyperliquid's case, however callable from exterior.
Callable stock vs posted depth
An AMM and a CLOB fail in a different way.
An AMM exposes callable stock ruled by a pricing curve. A pool holds reserves and quotes via a rule resembling x * y = okay. A dealer doesn’t select a counterparty. The pool is the counterparty. That’s the reason Half II may measure execution by operating pool state forward-change commerce dimension and execution drag modifications; change reserves and executable depth modifications; transfer the exterior value and arbitrage pushes the pool till the remaining hole is fee-limited.
A CLOB exposes persistent guide depth via price-level commitments. There isn’t a single reserve pair that defines the market. There are bids, asks, sizes, spreads, and depth across the mid. A taker consumes posted orders. A maker can cancel, repost, or transfer stock elsewhere.
AMM liquidity is dedicated right into a contract. CLOB liquidity is posted right into a queue.
The benefit will not be {that a} guide clears what a pool can’t. The guide’s native match is conditional liquidity: at this value, for this dimension, for now. A maker can tighten, widen, cancel, or hedge as stock and threat change. Queue place and timing change into a part of the market.
A pool could make its protection layer extra energetic via ranges, charges, and hooks, however it nonetheless exposes stock via a rule. It doesn’t change into a local price-time queue.
Within the AMM panel, the seen state is compact: a reserve level plus a pricing rule. Within the CLOB panel, the seen state is a ladder of value ranges. Every degree can include a number of posted orders ( n within the API response is order depend at that degree, not queue place). The guide can change with out a commerce, as a result of makers can cancel or exchange orders.
A small Hyperliquid snapshot
On 2026–06–30T02:09:33.700Z, I pulled l2Book snapshots for 4 perps on the first Hyperliquid dex and computed mid, unfold, and visual notional depth inside ±1% of mid. At snapshot time, spreads have been tight- 0.17 bps on BTC, 0.63 on ETH, 0.13 on SOL, 0.15 on HYPE-and seen depth inside ±1% of mid ranged from sub-million on SOL to roughly $18-23M on ETH (see Fig. 3).
The general public l2Book endpoint returns at most 20 value ranges per facet. For all 4 markets on this snapshot, each seen degree fell contained in the ±1% band-so ±5% depth equals ±1% depth within the processed file. That could be a measurement cap, not proof that depth is flat past 1%.
The snapshot is a point-in-time view of what the general public guide uncovered when the probe ran-not a declare about everlasting liquidity.
Depth right here comes from posted ranges across the mid, not from reserves on a curve. In Half II, depth got here from the pool state. Right here it comes from the guide.
The identical probe window additionally pulled funding and open curiosity from metaAndAssetCtxs—fields with no direct AMM analog. BTC at snapshot time: funding 0.0000125, open curiosity 35,637 contracts (base models), 24h notional quantity $3.12B; mark 60,652, mid 60,652.50, oracle 60,654 (premium −0.000016).
What the guide exposes — and what it does not
Every mechanism leaves the outsider a special audit downside.
A public CLOB feed can expose extra rapid construction than an AMM pool:
greatest bid and greatest ask (l2Book)unfold and visual depth round mid (derived from l2Book)current fills (recentTrades – quick window; 10 trades returned for BTC on this probe)funding and open curiosity (metaAndAssetCtxs)24h notional quantity (dayNtlVlm)charge schedule (documented in API; not re-derived right here)
The lacking facet continues to be essential.
The guide exhibits posted depth, not why it was posted, whether or not a maker intends to remain, or queue precedence. On a perp venue, margin and risk-engine state sit alongside the ladder. Liquidation choice paths are solely partly seen; the remaining stays exterior the artifact.
CLOB information is granular and incomplete on the similar time.
Dynamic charges change the AMM protection layer
AMMs are usually not standing nonetheless. Uniswap v4-style hooks and dynamic-fee swimming pools make that clear. The previous pool design handled the charge as a largely mounted parameter. The newer design area lets the pool react: a hook can replace charges earlier than a swap, add customized accounting, or alter habits across the swap path. Official docs place v4 hooks as a technique to customise pool behavior-not as a path to show the pool into an order guide.
That issues as a result of many AMM failures land on the LP facet. The pool provides stock via a deterministic rule. If the skin value strikes first, knowledgeable movement can commerce towards stale stock. If liquidity is concentrated within the flawed vary, the LP absorbs the repricing. If routing or MEV makes the movement poisonous, the charge might not compensate the stock threat. Half II measured that stress via execution drag, arbitrage residual, and fee-vs.-LVR.
Dynamic charges and hooks are one response-Half IV will run that protection layer in simulation. Right here the purpose is narrower.
Dynamic charges are usually not an AMM victory lap. They’re proof that the previous fixed-fee pool was under-defended towards poisonous movement.
They don’t make the pool right into a CLOB. They make the pool’s protection layer extra energetic.
On a CLOB, liquidity is already active-makers quote, cancel, repost, hedge, or go away. Failure exhibits up in stale quotes, queue video games, and liquidation parameters greater than in a passive curve being picked off.
The place loss lands is determined by the mechanism. In an AMM, protection more and more sits in charges, hooks, and LP technique. In a CLOB, it sits in maker habits, margin guidelines, and liquidation logic-and a lot of that’s solely partly seen from exterior.
The chance floor modifications too
Half II stayed inside AMM mechanics: whether or not charges cowl passive stock being repriced by arbitrage.
AMM failure tends to land on LP stock -stale costs, LVR, vary placement, poisonous movement, sandwich and routing results, and whether or not hooks or dynamic charges truly defend the pool.
CLOB failure tends to land on energetic market making -queue precedence, cancellation latency, unhealthy quotes, liquidation cascades, and risk-engine parameters. A perp CLOB provides funding, open curiosity, margin, and liquidation on high of the guide.
Mounted-fee swimming pools are positive for long-tail spot till volatility or poisonous movement arrives. Dynamic charges assist provided that the oracle or proxy is true and the hook will not be gamed. Books work when makers keep; they break when makers go away or the danger engine misfires.
AMM and CLOB expose completely different slices of the market and lose cash in other places. Each go away one thing exterior the artifact.
Closing
A market can kind with out an AMM pool if there’s posted depth, matching, and threat infrastructure behind the guide. I might not learn this probe as industry-wide migration. It exhibits what turns into seen when the forming object is book-shaped.
The book-shaped facet is inspectable sufficient to audit-incomplete, however not hypothetical. That modifications the place loss lands and which failures keep contained in the artifact.
The query I preserve returning to: the place does the mechanism fail, who absorbs the loss, and what can an outsider confirm?
For an AMM, begin with reserves and swaps, then charges and hooks. For a CLOB, begin with the guide and no matter funding/OI the API returns; assume maker intent and liquidation paths are partly lacking.
The pool will not be all the time the item. The audit downside stays.
Appendix: supply
Half I: The token appeared twice. The AMM market shaped as soon as.Half II: Earlier than MEV, I Constructed a Rust AMM Lab to Measure Pool State.Reproducibility gist — DeFiLlama charges and Hyperliquid data probe.
This publish was initially revealed on my private weblog: https://egpivo.github.io/2026/07/19/when-the-market-forms-without-an-amm-pool.html.
Hyperliquid Reveals What a Market Seems to be Like With out an AMM Pool was initially revealed in The Capital on Medium, the place persons are persevering with the dialog by highlighting and responding to this story.
