Development of a GMX Fork for Perpetual DEX
GMX is not just a perpetual DEX. It is a specific architecture: GLP pool as counterparty for all traders, zero-price-impact order execution (for sizes up to a certain threshold), and oracle prices instead of orderbook. Forking GMX means not "copying contracts", but understanding how the risk management system between LP and traders works, and adapting it to specific requirements.
Why GMX Fork Is More Complex Than It Seems
GLP as Risk Management System, Not Just a Pool
In GMX v1, liquidity providers deposit assets into GLP vault — a multi-asset pool serving as counterparty for all traders. When trader opens long on ETH, they borrow ETH from GLP (via reserved amount mechanics). When price rises — GLP loses, trader wins, and vice versa.
This creates interesting dynamics: GLP profitability correlates with how much traders lose money. In bull market many longs — GLP in loss. In bear market — many shorts — GLP loses again. Balance maintained via fees and open position size.
Forking requires explicit decision: which assets in pool, maximum allocation per asset (in GMX: ETH ~35%, BTC ~25%, stablecoins ~40%), and how rebalancing managed via dynamic mint/redeem fees. Wrong allocation balance — pool bankruptcy risk under directional market pressure.
Price Oracle and Manipulation
GMX uses Chainlink + Binance/Coinbase price aggregation with minimum/maximum bid/ask prices. Spread between them — main protection against oracle manipulation. Position opens at ask, closes at bid — spread is implicit fee.
In GMX v2, synthetic market appeared via GLV vault and keeper-system for order execution. Keeper receives execution fee and executes pending orders atomically with price update. Removes MEV from execution, but creates keeper-network liveness dependency.
For fork: if using only Chainlink (without own price aggregator), 1–3 block latency during extreme volatility creates arbitrage window via GMX positions. Exactly how several GMX v1 forks lost funds in 2022–2023 — traders opened positions knowing next oracle price.
Liquidation Mechanics and Bad Debt
In GMX, position liquidated when losses + fees exceed collateral minus liquidationFeeUsd (fixed, ~$5). Liquidation keeper can call liquidatePosition only when isLiquidatable returns true. Problem: during extreme moves position can go negative collateral faster than keeper liquidates. This is bad debt — GLP pays from reserves.
Original GMX handles this via ADL (Auto-Deleveraging) in v2: at high utilization most profitable positions forcibly closed. Fork without ADL risks systemic insolvency on black swan event.
Fork Architecture and What We Change
Key Contracts
| Contract | Role | What We Change in Fork |
|---|---|---|
| Vault | Asset storage, P&L calc | Fees, supported tokens |
| GlpManager | Mint/redeem GLP | Basket composition, limits |
| PositionRouter | Order management | Execution fee, delay |
| OrderBook | Limit/stop orders | Tick size, min size |
| PriceFeed | Oracle aggregation | Sources, spread logic |
| RewardRouter | Staking, APR distribution | Emission schedule |
In GMX v1 codebase written in Solidity 0.6.x. Fork typically migrates to 0.8.x with explicit overflow protection — removes SafeMath boilerplate and enables compiler built-in checks.
Order Execution Network (Keepers)
For production fork, keeper infrastructure needed: minimum 2–3 keepers with failover, pending order monitoring, automatic gas increase for stuck transactions. Keeper is not just a script, it is critical infrastructure. If keeper doesn't work, orders don't execute, liquidations don't happen, pool accumulates risk.
We build keeper-system in TypeScript with viem, Redis queue for pending orders, Prometheus metrics and PagerDuty alerts. Execution latency should be <2 blocks from moment position becomes executable.
Frontend and Integration
GLP vault requires separate interface for LPs — pool composition stats, current APR (trading fees + esGMX emissions), P&L history. For traders: charts via TradingView Lightweight Charts, positions, orders, history.
wagmi + viem for on-chain interaction. The Graph subgraph for historical data — without it position history can't be recovered. Custom subgraph for GMX fork: entities Position, Order, GlpMint, LiquidationEvent.
Development Process
Analytics (1 week). Audit target chain (Arbitrum, Avalanche, Base — GMX forks live on L2 due to gas), competitive analysis of existing perpetual DEX, tokenomics: GLP/GMX-analogs emission schedule, fee distribution.
Design (1–2 weeks). Contract adaptation, storage layout, supported assets list, risk management parameters (max leverage, max OI per market).
Development (6–10 weeks). Smart contracts + keeper infrastructure + subgraph + frontend. These are parallel tracks.
Testing (2 weeks). Fork tests on Arbitrum mainnet simulating various scenarios: cascade liquidation, oracle latency, keeper failure. Fuzz tests on PnL calculation and liquidation logic.
Audit. Mandatory external audit before mainnet — perpetual DEX with real pool funds. Minimum 2 independent auditors.
Deployment and Monitoring. Staged: first testnet with real keepers, then mainnet with limited positions (position size cap for first 30 days).
Timeline Guidance
GMX v1 fork on new EVM chain with custom pool composition — 2–3 months. GMX v2 fork with full keeper-system and subgraph — 3–4 months. Timeline includes audit and staged launch.
Cost calculated after detailed requirements analysis.