compute-precious-miner-gross-margin
CommunityEstimate precious-metal miner margins fast.
Authorfatfingererr
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill calculates a simple, comparable gross margin proxy for precious metal miners using publicly available metal prices and cost data, enabling rapid margin assessment and historical regime detection.
Core Features & Use Cases
- Data integration: pulls metal price data, cost indicators (AISC/Cash Cost), and production figures to compute per-miner margin proxies.
- Basket aggregation: supports production-weighted, equal-weight, and market-cap-weighted basket margins across gold and silver miners.
- Historical analysis: computes rolling percentile ranks to identify high/low-margin regimes and driver attribution (price vs cost).
- Use Case: a researcher can compare current margin proxy against historical distribution for gold or silver miners and generate research signals.
Quick Start
Quick-start commands:
- Run quick analysis for gold with default basket: python scripts/margin_calculator.py --quick --metal gold
- Produce a markdown report: python scripts/margin_calculator.py --output results.md --format markdown
Dependency Matrix
Required Modules
pandas>=1.5.0numpy>=1.20.0requests>=2.28.0yfinance>=0.2.0beautifulsoup4>=4.11.0lxml>=4.9.0
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: compute-precious-miner-gross-margin Download link: https://github.com/fatfingererr/macro-skills/archive/main.zip#compute-precious-miner-gross-margin Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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