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Senpi-ai
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opportunity-scanner

Screen Hyperliquid perps with 4-stage filtering and scoring into JSON reports.

113|34|Updated Feb 23, 2026
Search Tags:#data-analysis#risk-management#algorithmic-trading#opportunity-scanner#perp-scanning
One-click install
npx skills add https://github.com/Senpi-ai/senpi-skills --skill opportunity-scanner
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: opportunity-scanner
Source: https://github.com/Senpi-ai/senpi-skills/tree/main/opportunity-scanner
Command: npx skills add https://github.com/Senpi-ai/senpi-skills --skill opportunity-scanner

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Screens Hyperliquid perimeter assets to identify the top trading opportunities across 500+ perpetuals, reducing manual screening and token usage.

Core Features & Use Cases

  • 4-stage funnel that filters huge universes to a focused set of opportunities with scoring (0-400) across Smart Money, Market Structure, Technicals, and Funding.
  • Hourly trend gating via 1h classification and BTC macro modifiers to adjust signals by macro context.
  • Cross-scan momentum tracking with a consumable JSON report for agent consumption and decision making.

Quick Start

Run the scanner to fetch data, score assets, and generate a concise JSON report.

Frequently Asked Questions about opportunity-scanner

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

FAQPage Schema
How do I scan Hyperliquid perps for trading opportunities?▼

To scan Hyperliquid perps for opportunities, run the automated scanner to fetch data, score 500+ perpetuals, and generate a concise JSON report. The system applies a 4-stage funnel to filter assets down to focused risk-adjusted trades.

What factors are used to score perpetuals in algorithmic trading?▼

Perpetuals are scored 0-400 by analyzing Smart Money, Market Structure, Technicals, and Funding. This 4-stage filtering mechanism evaluates multiple quantitative dimensions to identify top trading opportunities across the market.

How does BTC macro context modify risk-adjusted trading signals?▼

BTC macro modifiers adjust trading signals by applying hourly trend gating via 1h classification. This mechanism filters opportunities based on the broader market context, ensuring only risk-adjusted signals pass through the scanner.

Can I automate manual screening for 500+ perpetual contracts?▼

Yes, you can automate manual screening across 500+ Hyperliquid perpetual contracts. The scanner reduces token usage by applying cross-scan momentum tracking and outputting a consumable JSON payload for agent decision-making.

What is cross-scan momentum tracking in perp scanning?▼

Cross-scan momentum tracking in perp scanning monitors velocity changes across filtered assets. It generates a consumable JSON report tracking momentum shifts, allowing agents to make informed decisions based on dynamic market movements.

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