compute-precious-miner-gross-margin

You calculate a gross margin proxy for gold and silver miners by integrating publicly available metal prices and AISC cost data. This Skill uses a Python script to compute per-miner margins and supports quarterly basket calculations.

Compare current mining margins against historical regimes by computing rolling percentile ranks of the margin proxy. This Skill identifies high and low-margin regimes and attributes margin drivers to price versus cost changes.

Yes, you can aggregate gold mining margins using production-weighted baskets. This Skill supports production-weighted, equal-weight, and market-cap-weighted basket margin calculations across precious metal miners.

Generate a markdown report for precious metal miner margin analysis by running the margin_calculator.py script with output file and format arguments. The Skill outputs margin proxies and regime labels in JSON or Markdown format.

Yes, you need yfinance and beautifulsoup4 along with pandas, numpy, requests, and lxml to run mining margin calculations. These dependencies enable the Skill to pull public metal price data and cost indicators for processing.

A limitation of using AISC for precious metal miner margin proxies is data availability and reporting lag. The Skill relies on publicly available cost data and production figures, meaning output accuracy depends on source data quality and update frequency.