On-chain longs and shorts
Leveraged positions opened and settled entirely through contracts, with liquidation prices previewed before confirmation.
AI-Built GMX Clone
An AI-first build of every GMX mechanic: pool-based liquidity, oracle-driven pricing with anomaly monitoring, and keeper intelligence that never misses a liquidation. Contracts and panels ship white-label with 100% source code, owned by you from day one. The almost-ready AI build goes live in 6 working days; a custom build takes 3 to 4 weeks.
Launch-ready from
$4,299

Synced panels
Almost-ready AI launch
Custom build
Source-code ownership
Canonical facts behind every protocol build.
overview
A GMX-style decentralized perpetuals protocol is an on-chain derivatives platform where traders open leveraged long and short positions against a liquidity pool, and every element of the trade, from pricing to liquidation to settlement, executes through smart contracts rather than a company's back end.
Its purpose is to offer derivatives with transparent, self-custodial mechanics. Liquidity providers deposit a basket of assets, receive pool tokens representing their share plus fees and trader PnL, and traders take the other side of positions from that pool. Operators launch these protocols because a growing segment of traders wants to verify rather than trust, and because protocol fees accrue to the treasury and pool under rules written in code you own.
The platform includes a trader app with wallet connection and position management, a liquidity provider panel for minting and redeeming, governance tooling over parameters and timelocks, and an operations layer for keepers, oracles, and monitoring, with the position, pool, and fee contracts at the core.
Market context, hedged: on-chain perpetuals have become one of the most actively used decentralized finance categories in recent years according to widely published DeFi analytics, though usage concentrates on a few protocols and shifts quickly. We avoid unsourced figures, and the build is framed compliance-conservative and audit-first, with nothing in the contracts or UI promising returns.
The headline capabilities, at product level.
Leveraged positions opened and settled entirely through contracts, with liquidation prices previewed before confirmation.
Liquidity providers mint pool tokens representing a basket of assets plus accrued fees and PnL, with deposit windows and composition visible on-chain.
Aggregated oracle feeds with deviation checks and fallbacks, so a single degraded feed cannot liquidate a healthy position.
Monitored keeper bots execute liquidations within defined buffers, and keeper health is alarmed because an unexecuted liquidation is a pool loss.
Fee tiers, listed assets, and parameters change through proposals behind timelocks, auditable by your community.
Invariant tests, fork testing, and a defined third-party audit scope before mainnet, not after an incident.
Wallet connection, event indexing, and sub-second position and PnL views over on-chain state.
What these buyers share: audiences that verify before they deposit and operators willing to run audit and governance discipline. If you bring the community, the protocol side is the part we handle.
Building for an audience that audits contracts before depositing. The monitoring and risk core runs the hardest operational part while you grow pool liquidity.
Give your token a governance and fee-share role backed by real protocol usage, with treasury tooling your holders can inspect.
Extend on-chain reach without standing up a custodial venue, with pool and position mechanics settled entirely by contract logic.
Deploy the white-label framework for clients across chains, every deployment standalone on 100% contract and app source code.
Launch a protocol where governance participation is already strong, with timelocks and proposals that keep operator power accountable.
Every panel below ships in every build.
On-chain perpetuals with a clean execution view.
Pool participation, transparent by design.
Protocol parameters, community-visible.
Keepers, oracles, and monitoring.
Beyond monitoring: the operational systems that keep a governed protocol accountable at scale.
Keeper heartbeats, oracle feed health, and anomaly flags surface in one console with incident runbooks attached, because an unexecuted liquidation or a degraded feed is a pool-loss event measured in real money.
Upgrades move through a documented pipeline with timelocks and multi-sig approvals, so every change to deployed contracts is visible, schedulable, and auditable by the community.
Fee tier changes, asset listings, and emission schedules run as proposals with voting dashboards and a governance audit trail, keeping operator power accountable to the participants who funded the pool.
Pool composition, open-interest skew, trader PnL history, and fee revenue report together, so LPs see the risk they take and operators see the economics the contracts actually produce.
The on-chain journey from wallet connection to closed position.
The trader connects a self-custody wallet and every pending action is a signed transaction they can inspect before approving. No account, no custodian.
Collateral moves into the position contracts from the wallet, and the UI shows the exact amount, gas, and fee breakdown before confirmation.
The trader picks direction, size, and leverage within caps, and the position opens against oracle mark prices with a liquidation price preview shown up front.
Borrowing fees accrue per block and funding settles against mark price, with PnL and position health readable on-chain at any block height.
Closing settles PnL against the pool in the same transaction. If mark price crosses the liquidation threshold, keepers execute the liquidation within defined buffers.
Profits withdraw to the wallet, or the trader's other role begins: depositing into the pool, minting pool tokens, and earning the trading and borrowing fees the contracts distribute.
Five model-driven systems working the same on-chain event stream. Each ships pre-tuned for on-chain derivatives and sharpens as your data compounds.
Monitors position health across the book and warns traders before mark price approaches their liquidation thresholds.
Mark prices, leverage, collateral ratios, funding accrual
Fewer surprise liquidations and better-informed traders
Watches aggregated feeds for deviation and staleness patterns so a degraded source is flagged before it can misprice a liquidation.
Feed prices, deviation history, source latency
Mark prices that stay sane when a single feed degrades
Predicts keeper lag from heartbeat and gas patterns and escalates before an unexecuted liquidation becomes a pool loss.
Keeper heartbeats, gas prices, execution history
Liquidations executed inside buffers, consistently
Summarizes pool composition and open-interest skew so liquidity providers see the risk they are taking before and after they mint.
Pool composition, open interest, trader PnL history
LP decisions made from evidence, not from blind trust
Summarizes parameter-change proposals and their historical impact so voters and operators see consequences before timelocks execute.
Proposal history, parameter changes, usage data
Parameter decisions documented and easier to audit
The modules that turn a perpetuals contract set into a full DeFi platform, each toggleable and governed through the same timelock discipline.
Users stake to earn rewards for holding and supporting selected assets, with reward workflows and history visible on-chain, deepening holding behavior beyond active trading.
Instant asset swaps routed through the pool promote liquidity and portfolio diversification, monetizing users who never open a leveraged position.
MetaMask, Trust Wallet, and WalletConnect support as first-class connections, meeting the self-custody expectations this audience audits for.
Real-time market trends, trade history, and user insights over indexed on-chain events, giving traders and LPs the evidence layer the category expects.
Auto-liquidation, stop-loss, and take-profit options protecting traders, with every execution visible in the position history they can verify.
Cryptocurrencies, stablecoins, and synthetic assets as tradeable markets, expanding the venue's surface through governance-listed parameters.
platform concepts
The core concept is the position state machine: every position is opened, accrues funding, then closes or liquidates, and each transition settles inside a contract transaction. Because the transitions are enforced on-chain, PnL settlement is deterministic, and closing against the pool behaves identically at any block height.
The second is pool economics. Liquidity providers deposit a basket of assets and receive pool tokens representing their share plus accrued fees and trader PnL, so the pool is the counterparty to every trade. Mint and redeem fees, borrowing fees, and trading fees attach per asset through governance, which is what lets you tune the economics your community agreed on without touching the contracts themselves.
The third is the asset and parameter catalog. Listed assets carry oracle sources, deposit windows, and risk caps, and every change moves through proposals behind timelocks. That structure is what lets you add a new asset deliberately, adjust a fee tier transparently, and keep the whole audit trail visible to the community that holds you accountable.
insight
On-chain perpetuals have become one of the most actively used categories in decentralized finance according to widely published DeFi analytics, and the model's economics explain why it keeps attracting operators: the pool is the counterparty, the contracts distribute fees by code, and every parameter change runs through governance a community can inspect. Trust is structural rather than promotional.
The design distinction worth building around is the shared counterparty. Liquidity providers earn trading and borrowing fees plus a share of trader PnL, so the same deposit pool serves traders and rewards providers, and the venue never runs a warehouse of directional risk the way a custodial book does. Token economics, staking rewards, and referral incentives extend that loop to the community layer. The revenue lines below quantify each path.
Trading fees on every position open, close, and swap, distributed to the liquidity pool by contract logic.
Borrowing fees on open positions, accrue per block and settle on close.
Mint and redeem fees on the liquidity pool, configured per asset.
Governance-token economics: fee share, staking rewards, and emission schedules defined in the contracts you own.
All parameters live behind governance and timelocks, so changes are transparent and auditable by your community.
Six monetization lines across the protocol, quantified against published industry benchmarks. Every rate is governance-configurable behind timelocks; the figures here are modelling inputs, not projections of your protocol's earnings.
| Criteria | Revenue line | How it is charged | Typical range | What sets the ceiling |
|---|---|---|---|---|
| Trading fees | A percentage of every position open, close, and swap, distributed to the pool by contract logic | On-chain perpetuals commonly charge 0.02% to 0.1% of position size per action | Open interest and pool depth. Volume follows liquidity, so the LP economics feed this line | |
| Borrowing fees | Accrue per block on open positions and settle on close | Rate varies with pool utilization, set per asset through governance | Position duration. Rates that track utilization keep the pool compensated for the risk it carries | |
| Mint and redeem fees | Charged on liquidity pool deposits and withdrawals, configured per asset | Commonly 0.1% to 0.5% per side, with deposit windows governing timing | LP retention. Fees here protect remaining providers from dilution, which is what keeps the pool deep | |
| Swap and exchange fees | A percentage on asset swaps routed through the pool | Commonly 0.05% to 0.3% per swap | Retail flow. Swaps monetize casual users who never open a leveraged position | |
| Governance-token economics | Fee share, staking rewards, and emission schedules defined in the contracts you own | Split set by your token design; escrowed-fee models are common in this category | Token utility. The ceiling is how much real protocol usage backs the token, which is why the fees above come first | |
| Referral incentives | Rebates or rewards credited on referred trading activity | Commonly 5% to 20% of referred fees, set through governance | Community growth. Referrals convert governance participants into distribution, at a cost set by parameter not by negotiation |
Standard inclusions on every engagement, almost-ready or custom. Nine things you never have to ask for.
The complete contracts and application code transfer to you, with documentation and deployment scripts.
Your logo, colors, and domains across the trader app, LP panel, and governance console.
App store or web launch handled end to end, with contract deployment, oracles, and production monitoring switched on.
Wallet connection options configured across major providers, with per-chain deployment scripts included.
Risk analytics, oracle monitoring, and keeper intelligence arrive configured for on-chain derivatives, not as raw APIs.
Languages and EVM chain targets configured for your markets during the launch window.
Indexing and event pipelines with autoscaling, so position views stay fast at peak trading.
Treasury dashboards, pool and usage analytics, and exports so your operations start informed on day one.
Included support window plus product updates covering bug fixes, chain compatibility, and version upgrades.
On-chain means the audit comes first.
Position, pool, and fee contracts written for audit from day one: invariant tests, fork testing, and third-party audit scope defined before mainnet. Audit-first security framing is not a line item, it is the method.
Aggregated oracle feeds with deviation checks and fallback sources, so mark prices stay sane when a single feed degrades.
Liquidation and order keepers with monitored heartbeats and alerting, because an unexecuted liquidation is a pool-loss event.
Wallet connection, event indexing, and sub-second position views over on-chain state. For centralized custody models, see our MEXC-style exchange track.
Oracle providers, wallet SDKs, analytics services, alerting channels, and chain infrastructure ship as configured integrations, so the protocol plugs into the stack your community expects.
Role-based access, timelocked upgrades, multi-sig controls, and audit-first review discipline come standard, so the questions your community and auditors ask have answers already written down.
The almost-ready AI build, day by day. Audit coordination is deliberate, not rushed.
Chains, pool design, and governance model locked with a written scope, and your identity applied across the app and panels.
Contracts deployed, oracles and keepers configured, wallets connected, and fork testing run against your target networks.
First liquidity providers onboarded, pool parameters exercised, and test positions run end to end: open, accrue, close, and liquidate paths.
Web or store launch with buffers accounted for, monitoring on, and full launch with post-launch support and product updates included.
Both tracks ship the same contract core. The difference is time, price structure, and how much you want to change.
| Criteria | Almost-Ready AI Launch | Custom Build |
|---|---|---|
| Time to live | 6 working days from branding handoff | 3 to 4 weeks, scoped before work starts |
| Pricing | Fixed written quote after a short scoping call, no hourly meter | Estimated per module after the discovery call |
| Source code and IP | 100% ownership on delivery | 100% ownership on delivery |
| AI layer | Risk analytics, oracle monitoring, and keeper intelligence pre-tuned | AI services designed around your protocol and data |
| Pool design | GLP-style pool mechanics ready to configure | Pool economics designed around your asset basket |
| Governance | Proposals, timelocks, and voting pre-built | Governance model designed around your community |
| Best for | Teams who want to launch this quarter | Teams with bespoke mechanics or a unique model |
$ moxace launch --nowBook a walkthrough of the contracts, pool mechanics, and ops console on a testnet build, then receive the written scope.
Share your idea
a quick call, no deck required
See the live demo
every screen, admin to user
Launch with source
full code, your brand, your servers
No two protocol builds price the same. These are the factors that shape the written quote you receive after scoping.
The almost-ready AI build covers the proven contract set. Custom pool economics or novel position types add scoped estimate work.
Deployment scripts and oracle wiring are configured per chain. Adding networks means more configuration, never a rebuild.
Oracle providers, wallet SDKs, and audit coordination are wired during the build, and each integration is estimated individually.
Out of the box, risk analytics, oracle monitoring, and keeper intelligence are pre-tuned for on-chain derivatives. Training models on your protocol's history is an optional, separately scoped workstream.
The extensions on-chain derivatives protocols most often add once pool liquidity is established, each scoped as its own workstream.
Full decentralized-autonomous-organization structures with voting rights over platform decisions, extending governance from parameters to roadmap.
Advanced cryptographic protections layered onto the contract suite for protocols whose audiences demand the strongest verification posture.
A launchpad vertical for new projects in your ecosystem, converting community attention into a listing and fundraising channel.
Additional EVM chain deployments with per-chain oracle wiring and pool parameters, governed per network.
Transparent on-chain mechanics with disciplined engineering.
Test suites, invariant checks, and audit scoping happen before deployment, not after an incident. That is the whole value of building with engineers since 2010.
Pool composition, fees, and parameters are visible and governed, matching what LPs in this category expect before they deposit.
Contracts and app code transfer to you completely. No per-trade royalties, no black-box dependencies.
This build sits inside our wider blockchain industry work, alongside our NFT marketplace development company practice.
Canonical deployments from our own portfolio. Metrics are reported from live platforms, not projections.
A consumer platform from the same engineering system, proving the infrastructure core holds under real-time load with strict uptime demands.
A high-volume consumer experience our team ships at global-release scale, the same bar every build is held to.
A high-traffic consumer platform our team ships and operates at national-carrier scale, the same discipline applied to every launch.
An on-chain protocol's security is public, permanent, and audited by strangers. The controls are built in, and stated plainly.
Every position transition settles inside a contract transaction with PnL computed by code, so closing against the pool behaves identically at any block height and no operator discretion sits between a trader and their funds.
Aggregated oracle feeds with deviation checks and fallback sources, plus anomaly monitoring that flags degradation before it liquidates a healthy position.
Keeper heartbeats and gas patterns are monitored with escalation, because an unexecuted liquidation is a pool-loss event, and keeper health is visible to everyone.
Parameter changes and contract upgrades move through proposals behind timelocks with multi-sig approvals, so the community sees every change before it executes.
Pool composition, fees, and trader PnL history display as on-chain facts, and no surface in the protocol promises yield, because in this category that promise is both a compliance risk and a trust breach.
the process
The engagement opens with a discovery call covering chains, pool design, and governance model, followed by a written scope and quote. The almost-ready AI framework launches in 6 working days: contracts deployed, oracles and keepers configured, frontend branded, and fork-testing completed. Audit coordination and custom pool economics are scoped as separate work, quoted in writing first, because audit scope should be deliberate rather than rushed.
Post-launch you have post-launch support and product updates included, covering bug fixes and chain compatibility. The first 90 days center on trust-building: seeding the liquidity pool with your earliest providers, keeping keeper and oracle health visibly clean, publishing your audit results, and running governance in a way early participants can inspect. On-chain liquidity concentrates quickly on protocols that behave predictably, and predictability is exactly what the build is engineered to deliver.
Open the web app, sign in with the printed demo credentials, or install the Android build — no signup, no sales call. What you see is what you launch.
Access: Change a setting, then place a test order
Access: No wallet is needed to read the Dashboard
$ moxace launch --nowBook a free consultation and get a written scope and price.
Share your idea
a quick call, no deck required
See the live demo
every screen, admin to user
Launch with source
full code, your brand, your servers
Moxace is an independent software development company. We are not affiliated with, sponsored by, or endorsed by GMX.
The phrase “GMX clone” is used descriptively. It is how the software industry refers to building a platform with similar functionality, and how buyers search for one.
The design and codebase are built entirely by our in-house team. Nothing is taken from the GMX website, applications, or brand assets.
GMX and all third-party names and marks remain the property of their respective owners, referenced here only to describe the category of software we build.
Read the full legal notice on our disclaimer page.