Can I analyze a custom list of mining companies?

Yes, you can provide a custom list of stock tickers (miners) and choose your preferred aggregation method, such as production-weighted or equal-weighted.

How does the skill handle different reporting frequencies?

The skill aligns daily or monthly metal prices with quarterly mining cost data, often using forward-filling or quarterly averages to ensure a clean comparison.

What is a 'Margin Proxy' in this context?

A Margin Proxy is a simplified calculation—(Price minus Unit Cost) divided by Price—used to quickly capture marginal changes in mining profitability without needing full accounting statements.

Which cost metrics does this skill support?

It supports AISC (All-In Sustaining Cost), Cash Cost (C1), and All-In Cost (AIC), with AISC being the recommended standard for comparability.

Precious Metal Miner Margin Analyzer

Name: Precious Metal Miner Margin Analyzer
Author: fatfingererr

byfatfingererr

Ciencia de Datos y ML

Calculates gross margin proxies for gold and silver miners to evaluate industry profitability and historical valuation cycles.

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This skill provides a specialized framework for analyzing the profitability of precious metal mining companies by correlating real-time metal prices with industry-standard cost metrics like AISC (All-In Sustaining Costs). It allows analysts and traders to determine whether mining margins are at historical extremes, decompose the drivers of margin changes (price-driven vs. cost-driven), and aggregate data across custom miner baskets using production-weighted models. It is an essential tool for macro-level equity research and commodity-driven investment strategies.

Características Principales

Performs driver decomposition to distinguish between price-driven and cost-driven margin shifts.
0 GitHub stars
Calculates Margin Proxy using metal spot/futures prices and AISC/Cash Costs.
Determines historical margin percentiles to identify extreme high or low regimes.
Automates data alignment between daily price series and quarterly corporate cost reports.
Supports multiple aggregation methods including production-weighted and market-cap weighted baskets.

Casos de Uso

Identifying trade signals based on historical margin extremes (mean reversion analysis).
Evaluating the fundamental health and profitability of gold and silver mining equities.
Macroeconomic research on the impact of inflation and operational costs on mining margins.

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Características Principales

Performs driver decomposition to distinguish between price-driven and cost-driven margin shifts.
0 GitHub stars
Calculates Margin Proxy using metal spot/futures prices and AISC/Cash Costs.
Determines historical margin percentiles to identify extreme high or low regimes.
Automates data alignment between daily price series and quarterly corporate cost reports.
Supports multiple aggregation methods including production-weighted and market-cap weighted baskets.

Casos de Uso

Identifying trade signals based on historical margin extremes (mean reversion analysis).
Evaluating the fundamental health and profitability of gold and silver mining equities.
Macroeconomic research on the impact of inflation and operational costs on mining margins.