commodity-analysis

Analyze commodity supply-demand, inventory cycles, and futures term structures to generate directional trading signals.

Updated Jun 30, 2026
One-click install
npx skills add https://github.com/20YN04/vibe-trading-macos --skill commodity-analysis-20yn04
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: commodity-analysis
Source: https://github.com/20YN04/vibe-trading-macos/tree/main/agent/src/skills/commodity-analysis
Command: npx skills add https://github.com/20YN04/vibe-trading-macos --skill commodity-analysis-20yn04

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the complexity of commodity market analysis by providing a structured, multi-dimensional framework to evaluate supply-demand, inventory cycles, and futures pricing, helping traders move beyond intuition to evidence-based decision-making.

Core Features & Use Cases

  • Multi-Factor Analysis: Evaluates crude oil, gold, and copper using specific fundamental indicators like OPEC production, real interest rates, and inventory levels.
  • Inventory Cycle Mapping: Identifies market stages (e.g., passive destocking) to pinpoint optimal entry and exit points.
  • Use Case: A trader can use this framework to synthesize disparate data points—such as LME inventory levels and US 10Y TIPS yields—into a composite score to determine the bullish or bearish bias for a specific commodity.

Quick Start

Perform a commodity analysis for crude oil by evaluating current supply-demand variables and inventory cycle stages to generate a directional signal.

Frequently Asked Questions about commodity-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate commodity trading signals using supply-demand and inventory cycles?

Commodity trading signals are generated by evaluating supply-demand balances, inventory cycle stages, and futures term structures to determine a bullish or bearish directional bias for specific markets.

What is the best way to analyze crude oil, gold, and copper market fundamentals?

The best way to analyze crude oil, gold, and copper markets is by synthesizing specific fundamental indicators like OPEC production, real interest rates, and LME inventory levels into a composite score.

How does inventory cycle mapping pinpoint optimal entry and exit points for futures trading?

Inventory cycle mapping identifies distinct market stages such as passive destocking, translating these supply-demand dynamics into actionable entry and exit points for futures trading strategies.

Do I need external data sources for real-time inventory and macroeconomic indicators?

Yes, you need integration with external data sources to acquire real-time inventory levels, production data, and macroeconomic indicators required for accurate commodity market analysis.

Can I use this framework to backtest crude oil and gold trading strategies?

Yes, the framework supports backtesting workflows by synthesizing disparate data points like US 10Y TIPS yields and inventory levels into composite scores for strategy validation.

What are the limitations of using intuition versus evidence-based commodity market analysis?

Relying on intuition lacks the structured evaluation of futures term structures and inventory cycles, whereas evidence-based analysis requires continuous external data integration to maintain accuracy.