commodity-analysis

Name: commodity-analysis
Availability: InStock
Author: hxhyyy

Analyze commodity supply-demand, inventory cycles, and futures term structures into composite scores.

Updated Jul 8, 2026

Search Tags:#analysis #trading #futures #market-intelligence #commodity #macro-economics

Ready to run

npx skills add https://github.com/hxhyyy/Vibe-Trading --skill commodity-analysis-hxhyyy

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: commodity-analysis
Source: https://github.com/hxhyyy/Vibe-Trading/tree/main/agent/src/skills/commodity-analysis
Command: npx skills add https://github.com/hxhyyy/Vibe-Trading --skill commodity-analysis-hxhyyy

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 Tracking: 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

Use the commodity-analysis skill to generate a comprehensive trading report for crude oil based on the latest EIA and OPEC data.

Frequently Asked Questions about commodity-analysis

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

FAQPage Schema

How do I analyze commodity market fundamentals for directional trading signals?▼

Commodity market fundamentals analysis evaluates supply-demand balances, inventory cycles, and futures term structures to generate data-driven directional trading signals. It integrates macro-economic indicators and sector-specific data to synthesize fragmented market information into actionable composite scores.

What is the best way to track inventory cycles for crude oil and copper futures?▼

Tracking inventory cycles for crude oil and copper futures involves identifying specific market stages like passive destocking to pinpoint optimal entry and exit points. This approach synthesizes disparate data points such as LME inventory levels and EIA data into a bullish or bearish composite score.

Can I use macro-economic indicators like real interest rates for gold market analysis?▼

Macro-economic indicators like real interest rates and US 10Y TIPS yields are actively used for gold market analysis. The framework evaluates these specific fundamental indicators alongside inventory levels to determine the bullish or bearish bias for gold trading.

How do I backtest trading strategies using EIA and OPEC production data?▼

Backtesting trading strategies using EIA and OPEC production data requires a structured analytical approach to synthesize fragmented market data. This framework supports research workflows by integrating specific fundamental indicators into composite scores for evidence-based decision-making.

Does this commodity market analysis framework support assets beyond crude oil, gold, and copper?▼

This commodity market analysis framework specifically supports research and backtesting workflows for crude oil, gold, and copper. It evaluates these specific assets using targeted fundamental indicators like OPEC production, real interest rates, and inventory levels.