commodity-analysis

Analyze commodity markets using supply-demand, inventory, futures, and seasonality signals.

15|2|Updated May 1, 2026
One-click install
npx skills add https://github.com/OpenSucker/OpenSucker --skill commodity-analysis-opensucker
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: commodity-analysis
Source: https://github.com/OpenSucker/OpenSucker/tree/main/skills/vibe_skills/commodity-analysis
Command: npx skills add https://github.com/OpenSucker/OpenSucker --skill commodity-analysis-opensucker

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill facilitates comprehensive analysis of commodities by evaluating supply-demand dynamics, inventory cycles, futures structures, seasonality, and macro factors to produce directional signals.

Core Features & Use Cases

  • Supply-Demand Evaluation: Analyze oil, gold, and copper supply and demand indicators to determine market balance.
  • Inventory Cycle Detection: Identify current inventory stages and assess turning points for commodities like copper.
  • Futures Term Structure Analysis: Interpret contango and backwardation to gauge oversupply or shortages.
  • Seasonality Trends: Incorporate historical seasonal patterns into current decision-making.
  • Use Case: A trader reviews these combined signals to identify if crude oil is entering a bullish phase before implementing a position.

Quick Start

Input current commodity data to evaluate supply-demand balance, inventory stages, futures structure, seasonality, and macro environment for comprehensive trading insights.

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 futures term structures for trading signals?

Analyzing commodity futures term structures involves interpreting contango and backwardation to gauge market shortages or oversupply. This Skill evaluates these futures structures alongside supply-demand dynamics to generate actionable directional signals for traders.

What is the best way to combine inventory cycles and seasonality for commodity market analysis?

Combining inventory cycles and seasonality for commodity market analysis identifies current inventory stages and incorporates historical seasonal patterns. This approach synthesizes supply-demand dynamics to assess market balance and detect potential turning points for commodities like copper.

Can I use macro factors and supply-demand indicators to backtest gold and oil market directions?

You can use macro factors and supply-demand indicators to backtest gold and oil market directions. This Skill utilizes detailed fundamental and technical indicators to evaluate market balance and support backtesting and decision-making for these specific commodities.

Does this commodity analysis tool support crude oil, gold, and copper markets?

This commodity analysis tool explicitly supports crude oil, gold, and copper markets. It evaluates commodity-specific supply and demand indicators, inventory cycles, and futures structures to determine market balance and generate actionable directional signals.

How do I identify if crude oil is entering a bullish phase using inventory and futures data?

Identifying if crude oil is entering a bullish phase requires reviewing combined inventory and futures data. By synthesizing supply-demand dynamics, inventory cycles, and term structures, this Skill produces directional signals to help implement trading positions.