Does this skill require manual data entry?

No, the skill includes automated Python scripts that use Chrome's debugging mode to scrape data directly from interactive Highcharts on the web.

What data sources does this skill use for copper analysis?

It scrapes SHFE and COMEX warehouse stock data from MacroMicro using Chrome CDP and fetches copper futures prices (HG=F) from Yahoo Finance.

What is the significance of the 10-year historical percentile?

It ranks current copper prices against the last decade of data to determine if the metal is 'Cheap', 'Fair', or 'Rich' regardless of short-term inventory fluctuations.

How is the 'Caution' signal calculated for the copper market?

A Caution signal is triggered when the inventory rebuild speed Z-score exceeds 1.5 (indicating abnormally fast restocking) while inventory levels are historically high.

Copper Inventory Signal Analyzer

Name: Copper Inventory Signal Analyzer
Author: fatfingererr

byfatfingererr

Data Science & ML

Analyzes copper inventory rebuild speeds and historical price percentiles to identify market peaks and long-term valuation opportunities.

About

This skill provides a quantitative framework for analyzing the relationship between copper inventory levels and market price action. By calculating Z-Scores for inventory rebuild speeds on the SHFE and COMEX exchanges, it generates short-term 'Caution' or 'Supportive' signals and correlates them with 10-year historical price percentiles. It automates data collection via Chrome DevTools Protocol (CDP) for warehouse stocks and Yahoo Finance for futures prices, producing high-fidelity Bloomberg-style visualizations to help traders and analysts determine if the market is overextended or historically undervalued.

Key Features

Standardized Z-Score calculation for 4-week inventory rebuild speeds
Dual-signal framework combining short-term momentum with long-term valuation
Backtesting engine to verify signal accuracy against historical price peaks
0 GitHub stars
Automated data scraping of SHFE and COMEX inventory levels via CDP
Professional Bloomberg-style dashboard generation for visual market analysis

Use Cases

Assessing if current copper prices are historically cheap for long-term commodity positioning
Identifying potential short-term price peaks in the copper market based on rapid inventory builds
Automating multi-source commodity market data collection and visualization workflows

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add fatfingererr/macro-skills analyze-copper-inventory-rebuild-signal

For use in Claude.ai and ChatGPT

Download Skill

GitHub