backsolve-miner-vs-metal-ratio-with-fundamentals
CommunityDissect miner ratio into four fundamentals
Authorfatfingererr
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill explains movements in the miner stock to metal price ratio by decomposing it into four measurable drivers using real data, enabling users to validate the drivers behind ratio changes.
Core Features & Use Cases
- Factor decomposition: compute the four fundamental factors (AISC/cost factor, leverage factor, EV/EBITDA, and dilution) from price data and disclosed financials and ops data.
- Backsolve & scenario analysis: given a target ratio (e.g., 1.2 or 1.7), determine the required changes across factors to reach the target.
- Data sources & outputs: integrates US/Canada disclosures and ETF holdings to estimate weights, producing structured JSON/Markdown reports for decision support.
Quick Start
Run a quick baseline using the default SIL/SI=F setup:
- python scripts/fundamental_analyzer.py --quick
Dependency Matrix
Required Modules
numpypandasyfinancematplotlib
Components
scriptsreferences
💻 Claude Code Installation
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Please help me install this Skill: Name: backsolve-miner-vs-metal-ratio-with-fundamentals Download link: https://github.com/fatfingererr/macro-skills/archive/main.zip#backsolve-miner-vs-metal-ratio-with-fundamentals Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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