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Hyperliquid Market-Making Bot

We develop Hyperliquid quoting and execution software around your markets, reference prices and inventory rules. Market data, quote generation, order management and account reconciliation are tested as separate components. The proposal defines supported workflows, risk limits, deployment and source-code handover; profitability is not promised.

Discuss your project & pricing

Priced for your scope. A short description is enough to start.

Client-controlled deployment
Milestone-based delivery
Documented testing & handover
Hyperliquid software interface

What's included

  • Inventory-aware perp quoting
  • Funding-aware skew & sizing
  • Exposure / drawdown kill-switches
  • Websocket execution + live dashboard

Best fit for

  • Perp market-making
  • Funding strategies
  • Liquidity provision
Inventory-aware quotingOrder and fill reconciliationExposure limits and stale-data guards

Hyperliquid market-making bot development

A quoting script is only one part of a market-making system. The production workload must also handle partial fills, cancelled orders, stale market data, connection loss and a process restart while positions remain open. We scope these operational paths alongside the strategy rules, rather than treating them as later additions.

You supply the markets, reference-price method, quoting parameters and permitted risk. We translate those requirements into an implementation plan with explicit interfaces and acceptance tests. A project can start with an API adapter or an order-management component instead of commissioning an entire trading platform.

Quoting, inventory and account state

The quoting component can calculate bid and ask targets using your spread, size and inventory-skew rules. Limits should account for current positions and outstanding orders, not just the most recent fill. Funding inputs can be included in a specified model, but neither funding income nor captured spread guarantees a positive net result.

The order manager tracks intended actions separately from acknowledged orders and observed fills. It must reconcile uncertain outcomes before resubmitting an action after a timeout. API permissions, signing requirements and rate limits are checked against the official Hyperliquid API documentation during implementation.

Controls and acceptance scenarios

  • Stop creating quotes when required market data exceeds the configured age limit.
  • Reject actions that breach the agreed position, order-size or account-exposure policy.
  • Reconcile open orders and fills after reconnecting or restarting.
  • Exercise partial-fill, rejection, timeout and cancellation scenarios with recorded inputs.
  • Record quote decisions, exchange responses and resulting account state for review.

Emergency cancellation and position reduction are separate actions. A cancellation request is not proof that all orders have been cancelled; a flattening order is not a guarantee of an immediate fill. We define what the system should attempt, how the result is verified and when operator intervention is required.

What is included in the proposal

The proposal lists supported markets, components, tests, deployment ownership and handover materials. A dashboard, alert routing, historical replay and ongoing maintenance can be added to the agreed scope. Development fees are separated from hosting, data-provider and trading costs.

For technical background, see our Hyperliquid market-maker project planning guide. If you already have software, describe the missing component or failure mode rather than preparing a complete replacement specification.

Request a Hyperliquid development estimate with your markets, quoting rules, existing stack and interface requirements. Production accounts and credentials remain client-controlled; we provide engineering, not discretionary account management or a guaranteed-return product.

Technical scope

What we design and verify

A production hyperliquid market-making bot is more than a working demo. Each major component below is scoped around the target network or platform, expected load, failure conditions and the way your team will operate it after handover.

01

Inventory-aware perp quoting

This part of Hyperliquid Market-Making Bot is specified as a separate, testable component with acceptance criteria, logging and documented configuration rather than hidden hard-coded behavior.

02

Funding-aware skew & sizing

Wallet and account workflows use scoped permissions, explicit transaction review points and client-controlled secrets. Seed phrases are never required for ordinary development access.

03

Exposure / drawdown kill-switches

Controls are enforced in code before an action is submitted. Thresholds remain configurable, while rejected actions and triggered safeguards are recorded for later review.

04

Websocket execution + live dashboard

The data path is designed for reconnects, duplicate events and observable lag. We document provider assumptions and test recovery instead of treating a live connection as automatically reliable.

Definition of done

Before delivery, we validate the agreed happy path, expected failures and operational controls. You receive the applicable source code, configuration reference, deployment instructions and a walkthrough of the system. Any third-party fees, infrastructure subscriptions or external dependencies are identified during scoping.

Delivery

How the engagement works

01

Technical discovery

We confirm the objective, constraints, integrations and acceptance criteria.

02

Architecture & scope

You receive milestones, responsibilities, timeline and the final quote.

03

Build & verification

Implementation is tested against the agreed scenarios with visible progress.

04

Handover & support

We deploy or hand over the code, documentation and operating instructions.

Built for production

Scope, security and ownership

Delivery model

Exchange connectivity, market-data flow and execution logic are separated so each layer can be tested independently.

Security baseline

API permissions, rate limits, order validation and emergency controls are part of the implementation plan.

What we need from you

Markets, execution rules, account model, risk limits and available API or infrastructure access.

Questions before you start

How is Hyperliquid Market-Making Bot priced?+

We quote each project after discussing the required features, integrations and deployment. Send a short description; a finished specification is not required. We agree the scope, milestones and price before work begins.

How long does delivery take?+

Timing depends on integrations, testing depth and whether existing code is involved. After a short technical discovery, we provide milestones and a delivery estimate before payment.

Who controls the source code, infrastructure and keys?+

The agreed source code and deployment are handed over to the client. Production wallets, seed phrases and private keys remain client-controlled; we design integrations around scoped credentials and least-privilege access.

Do you guarantee trading profits or a specific return?+

No. We build software and execution infrastructure, not guaranteed-return products. Results depend on strategy, competition, liquidity, fees and market conditions. Testing, simulation and explicit risk controls should precede live capital.

Can you work with our existing code or infrastructure?+

Yes. We can begin with a focused review, identify reusable components and propose the smallest safe implementation path instead of forcing a full rebuild.

Discuss your project and get an estimate

A few sentences about your idea are enough. We'll clarify the requirements and prepare an individual proposal. No finished specification or payment is needed to enquire.