S

Supurr Hyperliquid Algorithmic Trading

VERIFIED

by community

No community reviews yet
85,622installs
Updated May 2026

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Description

Backtest, deploy, and monitor trading bots on Hyperliquid. Supports Grid, DCA, and Spot-Perp Arbitrage strategies across Native Perps, Spot markets (USDC/USDH), and HIP-3 sub-DEXes.

Install Supurr Hyperliquid Algorithmic Trading

Run this in your OpenClaw agent to add Supurr Hyperliquid Algorithmic Trading from the ClawHub registry.

terminal
$openclaw skills install supurr-hyperliquid

Requires ClawHub registry access. Review the security analysis below before installing.

Security Analysis

⚠️警告74/100

Open Source

Code is publicly available for audit.

Community Verified

Reviewed by the ClawHub community.

Community Reviews

Real user ratings only — separate from the editorial assessment and ClawHub signal.

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Frequently asked questions

Is Supurr Hyperliquid Algorithmic Trading safe to install?

Supurr Hyperliquid Algorithmic Trading has a SkillsReview security score of 74/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.

How much does Supurr Hyperliquid Algorithmic Trading cost?

Supurr Hyperliquid Algorithmic Trading is free to install for OpenClaw via ClawHub.

What are the best alternatives to Supurr Hyperliquid Algorithmic Trading?

You can compare Supurr Hyperliquid Algorithmic Trading side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.

How do I install Supurr Hyperliquid Algorithmic Trading?

Install Supurr Hyperliquid Algorithmic Trading from ClawHub at clawhub.ai/skills/supurr-hyperliquid, or use the install action on this page to copy the command for your OpenClaw agent.

Community Signal

ClawHub Community Score3.64 / 5.00
Installs85,622
Last UpdateMay 18, 2026
Actively maintained (23d ago)
ClawHub community score is a third-party marketplace signal. It is shown separately from SkillsReview editorial assessment and real user review averages.
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