Developing a Position Management System for Perpetual DEXs

We design and develop full-cycle blockchain solutions: from smart contract architecture to launching DeFi protocols, NFT marketplaces and crypto exchanges. Security audits, tokenomics, integration with existing infrastructure.
Showing 1 of 1All 1305 services
Developing a Position Management System for Perpetual DEXs
Complex
~1-2 weeks
Frequently Asked Questions

Blockchain Development Services

Blockchain Development Stages

Latest works

  • image_website-b2b-advance_0.webp
    B2B ADVANCE company website development
    1358
  • image_web-applications_feedme_466_0.webp
    Development of a web application for FEEDME
    1250
  • image_websites_belfingroup_462_0.webp
    Website development for BELFINGROUP
    956
  • image_ecommerce_furnoro_435_0.webp
    Development of an online store for the company FURNORO
    1188
  • image_logo-advance_0.webp
    B2B Advance company logo design
    646
  • image_crm_enviok_479_0.webp
    Development of a web application for Enviok
    929

We develop custom position management systems for perpetual DEXs – from a simple tracker to a full risk manager with automatic stop-losses and margin management. Perpetual DEXs (dYdX, GMX, Hyperliquid, Gains Network) enable leveraged trading with no expiry date and no centralized custodian. But their standard UI doesn't cover programmatic control: bots, vaults, automation protocols require their own solution. Our team has over 5 years of experience in DeFi development and guarantees transparent integration with any perpetual DEX. This article breaks down the architectural differences of key perpetual DEXs, shows a real integration with GMX v2, and provides ready-made templates for tracking and risk management.

What are the architectural differences between orderbook and AMM perpetual DEXs?

Orderbook-based (dYdX v4, Hyperliquid)

Classic orderbook, but on-chain or with off-chain orderbook and on-chain settlement. dYdX v4 is a separate Cosmos appchain, Hyperliquid is its own L1. Interaction via REST API and WebSocket, similar to CEX.

Peculiarity of dYdX v4: transactions are sent not via Ethereum RPC but via Cosmos SDK. Different client, different formats. @dydxprotocol/v4-client-js is the official SDK.

Hyperliquid: its own HTTP API and WebSocket. Signing via EIP-712 (EVM-compatible). Fastest throughput among on-chain perps.

AMM-based (GMX v2, Gains Network)

Positions are opened against a liquidity pool, not a counterparty. Price impact exists, no orderbook. GMX v2 uses synthetic assets via Chainlink price feeds.

GMX v2 contracts: ExchangeRouter for opening/closing positions, OrderVault for storing collateral until execution. All operations via createOrder() with parameters.

How is liquidation price calculated on different exchanges?

Position tracker

A component that continuously monitors open positions:

interface Position {
  id: string;
  exchange: "dydx" | "gmx" | "hyperliquid";
  market: string;           // "ETH-USD"
  side: "long" | "short";
  size: bigint;             // in USD
  entryPrice: number;
  currentPrice: number;
  unrealizedPnl: number;
  liquidationPrice: number;
  leverage: number;
  margin: bigint;
  fundingPaid: number;      // accumulated funding payments
}

Data sources: WebSocket subscriptions to position updates (dYdX, Hyperliquid), polling via REST every 5–30 seconds (GMX via subgraph or direct contract calls).

Risk manager

Monitors proximity to liquidation and executes stop-loss/take-profit:

const riskThresholds = {
  liquidationWarning: 0.15,  // 15% to liquidation → alert
  autoReduceAt: 0.10,        // 10% to liquidation → reduce position
  emergencyCloseAt: 0.05,    // 5% to liquidation → close completely
};

const distanceToLiquidation = (position: Position): number => {
  const current = position.currentPrice;
  const liq = position.liquidationPrice;
  if (position.side === "long") return (current - liq) / current;
  return (liq - current) / current;
};

Add margin – first line of defense. When approaching liquidation price – automatically add collateral instead of closing. Cheaper on gas and preserves position. Requires a reserve USDC balance on the wallet.

Partial close – in heavy situations, reduce size by 30–50%. Reduces risk without full exit.

Emergency close – full close with a market order. High slippage, but when facing real liquidation threat, losing 1–2% on slippage is better than a 5–15% liquidation penalty.

Funding rate monitor

Funding payments on perpetuals are hidden costs that, with the wrong sign, eat PnL. We track:

// For longs: positive funding rate → you pay
// For shorts: positive funding rate → you receive
const calculateFundingCost = (
  position: Position,
  fundingRate8h: number,  // e.g., 0.0001 = 0.01%
  periods: number
): number => {
  const sign = position.side === "long" ? -1 : 1;
  return position.size * fundingRate8h * periods * sign;
};

If accumulated funding cost exceeds expected profit on the position – candidate for closing regardless of PnL.

Integration with GMX v2: step-by-step guide

GMX v2 is the most complex popular perpetual DEX for integration because all operations are asynchronous via order keeper.

  1. Import GMX contracts via npm install @gmx-v2/contracts.
  2. Connect Viem provider and get an instance of ExchangeRouter.
  3. Create and sign CreateOrderParams.
  4. Send transaction with executionFee.
  5. Handle callback afterOrderExecution().
// Opening a long position on ETH
IExchangeRouter.CreateOrderParams memory params = IExchangeRouter.CreateOrderParams({
    addresses: IExchangeRouter.CreateOrderParamsAddresses({
        receiver: address(this),
        callbackContract: address(this),  // our contract gets callback
        uiFeeReceiver: address(0),
        market: ETH_USD_MARKET,
        initialCollateralToken: USDC_ADDRESS,
        swapPath: new address[](0)
    }),
    numbers: IExchangeRouter.CreateOrderParamsNumbers({
        sizeDeltaUsd: 10_000 * 1e30,  // $10,000 position (30 decimals)
        initialCollateralDeltaAmount: 1_000 * 1e6,  // $1,000 collateral (USDC 6 decimals)
        triggerPrice: 0,  // market order
        acceptablePrice: minAcceptablePrice,
        executionFee: executionFee,
        callbackGasLimit: 700_000,
        minOutputAmount: 0
    }),
    orderType: Order.OrderType.MarketIncrease,
    decreasePositionSwapType: Order.DecreasePositionSwapType.NoSwap,
    isLong: true,
    shouldUnwrapNativeToken: false,
    referralCode: bytes32(0)
});

exchangeRouter.createOrder{value: executionFee}(params);

The order is executed by GMX keeper nodes asynchronously. Callback afterOrderExecution() on your contract signals execution. If the keeper doesn't execute within a certain time – order can be canceled via cancelOrder().

Liquidation price calculation on GMX

Parameter Formula
Long liq_price = entry_price * (1 - (margin - borrow_fee) / size)
Short liq_price = entry_price * (1 + (margin - borrow_fee) / size)

borrow_fee accumulates over time – it must be considered when calculating current state. GMX provides the Reader contract with getPositionInfo() that returns up-to-date data including fees.

Exchange comparison table

Parameter dYdX v4 Hyperliquid GMX v2
Architecture Cosmos appchain Proprietary L1 Arbitrum/AVAX
API REST + WebSocket, Cosmos SDK REST + WebSocket, EIP-712 Ethereum contracts, async order
Integration complexity Medium Low High (async order)
Speed ~0.5 sec ~0.1 sec ~1-5 min (keeper)

Stack and infrastructure

TypeScript + viem for GMX on-chain interactions. @dydxprotocol/v4-client-js for dYdX. WebSocket clients for real-time data. PostgreSQL + TimescaleDB for history of positions and PnL. Redis for caching current state. Grafana dashboard with metrics for all open positions.

Timeline estimates

Stage Duration Result
Analysis 1–3 days Requirements, stack selection
Design 2–4 days Architecture, diagrams
Implementation 5–10 days Working prototype
Testing 2–3 days Unit + integration tests
Deployment 1–2 days Production environment

Position tracking system for one perpetual DEX with alerts – 3–5 days. Full system with risk management, auto-margin-add and stop-loss/take-profit for one protocol (GMX or dYdX) – 1–1.5 weeks. Multi-protocol system (GMX + dYdX + Hyperliquid) – 2–3 weeks. Cost is determined after clarifying target exchanges and automation requirements.

Get a consultation on your project – we'll assess complexity and timeline. We deliver turnkey in 2–3 weeks.

DeFi Protocol Development

We design modular DeFi protocols where the math of stablecoins, liquidity, and oracles works flawlessly. Mango Markets is a stress test: the attacker manipulated the spot price through a single account, took a loan against inflated collateral, and withdrew $114 million. The oracle took the price from a single source without TWAP. Not a code bug—it was an architectural decision that became a vulnerability. Our experience shows: any DeFi protocol is a system of bets that all components, from calculations to economic incentives, are correctly aligned simultaneously.

We don't write code under the 'if it works, don't touch it' mindset. We model stress scenarios: cascading liquidations, depegs, flash loans. Only then do we build events that won't break the protocol.

Why are oracles a critical component of DeFi?

Most major DeFi hacks started with oracle manipulation. Let's break down the three layers we use in every project.

Spot price as oracle—not an option. Uniswap v2 spot price can be shifted by a flash loan in one transaction. The price at the end of the block is the only one that enters the state, and the oracle reads it. Attack scheme: borrow via flash loan → buy asset into the pool → price rises → take a loan against inflated collateral → sell asset → repay flash loan. One transaction.

TWAP as protection. Uniswap v3 observe() averages the price over a period (30 minutes). Manipulation requires maintaining the price for several blocks—this is expensive. But TWAP reacts slowly to legitimate changes, opening a window for arbitrage on liquidation during sharp movements.

Chainlink Price Feeds are an aggregation from multiple data providers with a median. Standard for lending. Problem: heartbeat 1–24 hours and deviation threshold 0.5%. If the price doesn't move, the feed may not update for a day. In volatile markets—lag.

Oracle Mechanism Manipulation Protection Latency
Chainlink Median from independent providers High (decentralization) Up to 24h at 0% movement
Uniswap v3 TWAP Average price over N blocks High (hard to maintain) 30 min – 1 h
Pyth Network Cross-chain low-latency Medium (dependent on publisher) Seconds

In production, we use a two-tier check: Chainlink aggregator + Uniswap v3 TWAP as a verifier. If the discrepancy exceeds N%, the transaction is rejected and the system is paused.

How to protect a DeFi protocol from flash loan attacks?

Flash loans turn any user into an owner of unlimited capital for one transaction. Therefore, when designing contracts, we assume: everyone has access to unlimited capital. This completely changes the threat model.

Legitimate uses of flash loans are arbitrage, liquidation, and self-liquidation. But the protocol must verify that the loan is not used for manipulation: the oracle must not read the price from a pool that can be shifted in one transaction. We add checks on block.timestamp and minimum liquidity depth.

Key Components of DeFi Architecture

Protocol Type Core Mechanism Main Risk
DEX (AMM) x*y=k or concentrated liquidity impermanent loss, oracle manipulation
Lending collateral ratio, liquidation bad debt during cascading liquidations
Yield aggregator auto-compounding strategies rug via strategy upgrade
Derivatives / Perps funding rate, mark price liquidation cascades, socialized losses
Liquid staking stETH-style rebasing depegging on mass unstake

AMM: From x*y=k to Concentrated Liquidity

Uniswap v2 uses x * y = k. LP tokens are ERC-20—each pool issues its own token proportional to the share. Problem: liquidity is spread across the entire curve, most of it unused.

Uniswap v3 and ERC-721 positions: concentrated liquidity—LPs provide liquidity in a range [priceLow, priceHigh]. Capital efficiency up to 4000x for stable pairs. But ERC-721 breaks vault strategies built for ERC-20. Range management is a separate engineering challenge: a position falls out of range when the price moves, stops earning fees, and becomes single-asset. Protocols like Arrakis Finance automatically rebalance. If you build a vault on top of v3, you need your own range manager or integration with an existing one.

Slippage in v3 is calculated via sqrtPriceX96—96-bit fixed-point math. Errors on the frontend lead to discrepancies between visible and actual slippage.

Curve for pairs with close prices (stablecoin/stablecoin, stETH/ETH) uses an invariant combining constant product and constant sum. Lower slippage within the peg range. Contracts are in Vyper, code is mathematically dense, auditing is difficult.

Lending Protocols: Collateral, Liquidation, Bad Debt

LTV defines the maximum loan against collateral. Liquidation threshold is the level for liquidation. The difference is the buffer for the liquidator. Typical example: LTV 75%, liquidation threshold 80%, bonus 5%. If the price drops 20%+, the position is open for liquidation.

Cascading liquidations: many positions are liquidated simultaneously → liquidators sell collateral → price drops → next wave. LUNA/UST 2022 is a classic cascade.

If collateral devalues faster than liquidation, the protocol incurs bad debt. Aave uses a Safety Module (staked AAVE), Compound uses reserves. Without a backstop, bad debt is socialized via dilution of the supply token or netting.

Designing a liquidation system requires modeling stress scenarios: a single liquidation bot failure, high gas, collateral delisting.

Yield Farming and Incentive Mechanics

Liquidity mining distributes governance tokens to LP providers. Problem: mercenary capital—farmers come, sell tokens, leave. TVL is illusory.

Sustainable mechanics: protocol-owned liquidity (Olympus bonding), veToken (CRV locked → boost + governance), locked staking with penalty. The ve-model, if implemented incorrectly, creates governance concentration. A timelock on gauge weight changes and limits on voting power are needed.

What Our DeFi Protocol Development Includes

  • Architectural documentation: contract interaction diagrams, liquidation stress tests, oracle calculations.
  • Implementation in Solidity 0.8.x with OpenZeppelin 5.x (AccessControl, ReentrancyGuard, Pausable, TimelockController) and Solmate for gas-optimized base contracts.
  • Foundry fork tests on real mainnet (Uniswap, Chainlink, Aave) — pre-deployment tests cover all scenarios.
  • Audit: at least two independent auditors for TVL over $1M. Code4rena or Sherlock for bug bounty.
  • Deployment with Gnosis Safe 3/5 multisig + timelock 48–72 hours.
  • Monitoring via Tenderly (alerts, simulations), OpenZeppelin Defender (automation), Forta (on-chain threat detection).
  • Post-launch support: updates, patches, upgrades via proxy.

Our Expertise and Experience

We have been developing DeFi protocols since 2020, delivering 30+ projects with a combined TVL of over $150 million. Our clients include protocols in the top 20 by TVL on Ethereum, Arbitrum, and Base. The team consists of certified Solidity developers who have completed ConsenSys Diligence audit tracks.

DeFi basic principles that we apply in practice.

Timelines

  • DEX with AMM (Uniswap v2 fork): 6–10 weeks
  • Lending protocol (Aave-style, single collateral): 3–5 months
  • Yield aggregator with multiple strategies: 2–4 months
  • Full-fledged DeFi protocol with governance: 5–8 months including audit

Cost is calculated individually—contact us for a project estimate.

Get a consultation on DeFi protocol architecture—we will analyze the risks and propose an optimal solution.