skills.rest
sheawinkler
sheawinklerCOMMUNITY
Explore all skills by this author →
WebsiteGitHub

hyperliquid

Fetch Hyperliquid market and account data from public endpoints via Python CLI.

78|16|Updated Apr 23, 2026
Search Tags:#api#cli#blockchain#trading#market-data#crypto#hyperliquid
One-click install
npx skills add https://github.com/sheawinkler/hermes-agent-ultra --skill hyperliquid-sheawinkler
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hyperliquid
Source: https://github.com/sheawinkler/hermes-agent-ultra/tree/main/optional-skills/blockchain/hyperliquid
Command: npx skills add https://github.com/sheawinkler/hermes-agent-ultra --skill hyperliquid-sheawinkler

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Hyperliquid provides fast access to market data and account history via public endpoints, enabling rapid insights without a heavy dependency stack.

Core Features & Use Cases

  • Read-only access to Hyperliquid markets, candles, funding, L2, and market context.
  • Inspect wallet positions, spot balances, fills, and orders, then generate post-trade reviews.
  • Export normalized datasets for backtesting or analytics, all via a lightweight Python CLI.

Quick Start

Run the hyperliquid_client.py CLI to fetch markets, candles, and account 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 candles using a Python CLI?▼

You can fetch Hyperliquid market data and candles by running the hyperliquid_client.py CLI, which queries public endpoints to retrieve market context and candlestick data for analytics.

Can I query Hyperliquid wallet positions and account history without heavy dependencies?▼

Yes, you can inspect wallet positions, spot balances, fills, and orders using only the Python standard library, avoiding a heavy dependency stack while querying per-wallet summaries.

What's the best way to export normalized Hyperliquid datasets for backtesting?▼

The best way to export normalized Hyperliquid datasets for backtesting is using this lightweight Python CLI to query public endpoints and output structured market and account data.

Does the Hyperliquid data CLI require any external Python packages?▼

No, the Hyperliquid data CLI relies only on the Python standard library and requires no external packages, keeping the dependency stack lightweight for rapid data access.

How do I configure API URLs and default wallet addresses for Hyperliquid queries?▼

You can configure API URLs and default addresses for Hyperliquid queries using environment variables, allowing flexible endpoint targeting and wallet specification without code changes.

What Hyperliquid market data can I retrieve for trading insights?▼

You can retrieve Hyperliquid markets, candles, funding rates, L2 order book depth, and market context data to generate quick trading insights and post-trade reviews.

Related Skills

Explore More Data & Analytics Skills→
AnandaAnugrahHandyantoAnandaAnugrahHandyanto

hyperliquid

Fetch Hyperliquid market and account data via a Python CLI.

Community
Intermediate
leonardoteodorooleonardoteodoroo

backtesting-frameworks

Implement event-driven, vectorized, walk-forward, and Monte Carlo backtesting frameworks in Python.

Community
Advanced
davpatel605-beepdavpatel605-beep

hyperliquid

Retrieve and analyze Hyperliquid market and account data using standard Python libraries.

Community
Advanced
NigarumOvumNigarumOvum

okx-market

Retrieves real-time and historical crypto market data from OKX V5 REST API.

Community
Advanced