Author: Honeypot
Lede
Over the past decade, the vast majority of global crypto trading has remained in the hands of centralized exchanges: user funds are held in custody; matching and settlement logic is opaque; liquidation mechanisms during volatility are incomprehensible; and black swan events always loom on the horizon (Mt.Gox, FTX, Bitzlato...). The golden age of CEXs shaped the market's scale but also created the single greatest point of trust risk.
A growing number of professional traders and capital providers are realizing that transparency isn't optional—it's a fundamental financial right. The only way to achieve this is by moving derivatives trading on-chain. This has given rise to a new generation of outstanding on-chain perp DEXs—dYdX, Hyperliquid, Aster, GMX.
Broadly speaking, these on-chain perp DEXs fall into two main solution categories: Orderbook Perp DEX and AMM Perp DEX. Currently, orderbook perp DEXs dominate the market. In our view, both approaches have their strengths and weaknesses.
Two Paths Converging in the Future The on-chain perpetual market is currently witnessing a battle between two technological approaches:
They represent: "Performance & Precision" vs "Resilience & Sustainability." The ultimate outcome will be a market structure that combines both. Recently, Honeypot Finance—an integrated liquidity hub backed by Mask Network and other prominent investors at a $35 million valuation—has emerged to fill this critical market gap.
Honeypot's mission is simple: avoid flashy derivative designs and use just three modules to complete the missing piece of AMM perpetuals—a market that's controllable, predictable, and executable even during storms.
I. The Fundamental Problem with Order Books: Most Fragile When Most Needed
The Fragility of Order Books: When You Need Them Most, They Vanish
Most Likely to Fail at Critical Moments
The core of order book (LOB) liquidity isn't algorithmically guaranteed—it depends on market maker willingness. During stable conditions, market makers face controlled risks, spreads are tight, and depth appears perfect. But once volatility spikes:
1️⃣ Voluntary Liquidity Collapse
Volatility amplifies → Risk rises non-linearly
Market makers collectively cancel orders or widen spreads drastically, resulting in: No real orders beyond the bandwidth range, creating "Liquidity Voids." 📌 Prices don't slip—they gap. 📌 Liquidations execute in a vacuum. 📌 Trading and risk reference prices become severely distorted.
2️⃣ On-Chain Latency & Sequencing Rights → "Exploitable Markets"
Market making orders are exposed to: Block delays, MEV front-running, latency arbitrage. The result: Orders are systematically preyed upon. Each snipe → Next orders become shallower, fewer, wider—continuously eroding effective depth. Depth quality reflexively deteriorates. Effective depth structurally worsens.
3️⃣ Inventory Risk Cannot Be Hedged Timely
During extreme volatility: External hedging costs spike; execution paths are blocked; market maker positions become skewed. Risk spillover pattern: Market maker survival → Costs passed to traders and liquidators, maximizing liquidation impact.
This is where AMMs prove their value: 📌 When order books fail, AMMs keep functioning—continuously quoting + minimum execution guarantee—ensuring the market keeps running.
II. Why Haven't AMM Perpetuals Grown Faster?
Why AMM Perpetuals Still Lag Behind
AMMs should be "always-open stalls"—theoretically resilient to volatility, but they face three structural issues:
1️⃣ LP vs Trader Zero-Sum Game: LPs are counterparties. Once trends become one-sided, pools get drained.
2️⃣ Quote Lag → Arbitrageur Feast: AMM prices depend on pool asset ratios. When external markets move, AMMs don't know until trades occur. Arbitrageurs spot discrepancies, act immediately—"correcting prices" while extracting value from LPs.
3️⃣ Capital Tier Confusion: Conservative LPs and yield-chasing LPs share the same pool, with unclear loss priority. Result: Conservative capital dares not stay long—TVL bleeds out.
III. The Two Industry Kings: Hyperliquid & GMX
The Two Kings: Hyperliquid and GMX
Hyperliquid: Speed Limits & The Cost of ADL
Hyperliquid is the current benchmark for on-chain order books. It built its own Layer1 "HyperCore" to achieve high-frequency matching and low latency. The trading experience is nearly CEX-like—deep liquidity, blazing speed. But speed isn't free. Its liquidation mechanism has three layers: Market Liquidation: Liquidates losing positions on the order book; Vault Intervention: The treasury takes over positions when liquidity is insufficient; ADL (Auto-Deleveraging): When the vault can't handle it, the system forcibly reduces leverage on profitable positions. This makes Hyperliquid nearly bankruptcy-proof, but the cost is: Even if you're winning, your position might be forcibly reduced. The recent "1011" incident fully exposed Hyperliquid's design flaw—prioritizing system fairness at the expense of individual fairness.
GMX: The Steady Hand of AMM Perpetuals
GMX is the pioneer in AMM perpetuals—the current king of AMM Perp DEXs. The true era of AMM perpetuals began with GMX. It's not a follower but a trailblazer—the GOAT 🐐 of this space.
GMX V2 introduced decisive structural innovations: Isolated GM Pools: BTC risk stays with BTC, ETH risk stays with ETH—meme volatility won't tank mainstream markets → AMM perpetuals move beyond "one falls, all fall" dynamics;
Oracle-Mark Pricing: No longer blindly trusting pool prices—directly tracking external market reality → Arbitrageurs can no longer freely extract from LPs;