hyperliquid

Fetch Hyperliquid market and account data via a Python CLI.

Updated Jun 19, 2026
One-click install
npx skills add https://github.com/AnandaAnugrahHandyanto/savarez_agent --skill hyperliquid-anandaanugrahhandyanto
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hyperliquid
Source: https://github.com/AnandaAnugrahHandyanto/savarez_agent/tree/main/optional-skills/blockchain/hyperliquid
Command: npx skills add https://github.com/AnandaAnugrahHandyanto/savarez_agent --skill hyperliquid-anandaanugrahhandyanto

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Hyperliquid data access is centralized through a simple CLI, enabling quick retrieval of market data, account histories, and trade reviews without building custom API clients.

Core Features & Use Cases

  • Read market data, candles, funding history, and L2 order books for perpetual and spot markets.
  • Inspect wallet balances, fills, and orders to produce post-trade reviews and performance analysis.
  • Use cases include onboarding new traders, rapid data exploration, backtesting prep, and automated reporting.

Quick Start

Run the hyperliquid_client.py CLI with a command such as markets or state to retrieve Hyperliquid data.

Frequently Asked Questions about hyperliquid

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I fetch Hyperliquid market data and account history using Python?

You can fetch Hyperliquid market data and account history by running a simple Python CLI that calls the public /info endpoint to return structured data for markets, candles, and fills. It uses only the Python standard library.

Can I retrieve Hyperliquid funding history and L2 order books for perpetual and spot markets?

Yes, retrieving Hyperliquid funding history and L2 order books for both perpetual and spot markets is supported. The CLI requests this data from the public /info endpoint and returns it for downstream analysis.

How do I review Hyperliquid fills and wallet balances for post-trade analysis?

Reviewing Hyperliquid fills and wallet balances for post-trade analysis is done by passing your user address to the CLI. It inspects spot balances and order history to produce performance reviews.

Do I need external libraries to access Hyperliquid trade data?

No, you do not need external libraries to access Hyperliquid trade data. The Skill relies exclusively on the Python standard library and reads API URLs and user addresses from environment variables or a .env file.

What is the best way to prepare Hyperliquid data for backtesting workflows?

The best way to prepare Hyperliquid data for backtesting is using the CLI for rapid data exploration. It retrieves structured market candles and funding history suitable for automated reporting and backtesting prep.

Are there limitations when pulling Hyperliquid perpetual and spot market data via the public API?

Limitations when pulling Hyperliquid perpetual and spot market data include relying entirely on the public /info endpoint response structure. Data retrieval is constrained to the available API URLs and standard library HTTP requests.