commodity-analysis

Generate directional signals for oil, gold, and copper from market analysis.

Updated Apr 12, 2026
One-click install
npx skills add https://github.com/DaddyElonMusk69/motis-agent --skill commodity-analysis-daddyelonmusk69
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: commodity-analysis
Source: https://github.com/DaddyElonMusk69/motis-agent/tree/main/skills/finance/commodity-analysis
Command: npx skills add https://github.com/DaddyElonMusk69/motis-agent --skill commodity-analysis-daddyelonmusk69

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Traders and analysts need a structured, multi‑dimensional framework to evaluate commodities such as oil, gold, and copper and to derive actionable directional signals, but data is fragmented across many sources and the analysis involves supply‑demand, inventory cycles, futures term structure, and seasonality.

Core Features & Use Cases

  • Supply‑Demand Assessment: Combine OPEC production, rig counts, inventories, and demand indicators to judge market tightness.
  • Inventory Cycle Insight: Identify the current stage of the inventory cycle and its impact on price trends.
  • Futures Structure Evaluation: Detect contango or backwardation to confirm supply‑demand judgments.
  • Seasonality Overlay: Apply commodity‑specific seasonal patterns to refine signals.
  • Scoring Template: Produce a composite score and formatted analysis report for backtesting or decision‑making.
  • Use Case Example: Generate a bullish signal for crude oil by evaluating recent OPEC compliance, rig count trends, and a moderate backwardation in the front‑month futures spread.

Quick Start

Ask the commodity-analysis skill to generate a bullish signal for crude oil based on the latest supply‑demand and futures data.

Frequently Asked Questions about commodity-analysis

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

FAQPage Schema
How do I generate trading signals for commodities like oil, gold, and copper?

To generate trading signals for commodities, you evaluate supply-demand balance, inventory cycles, futures term structure, and seasonality. This framework combines data from sources like OPEC, EIA, and LME to compute a scoring template that produces a structured directional signal report.

What is the best way to analyze crude oil supply and demand for a bullish signal?

Analyzing crude oil supply and demand for a bullish signal requires combining OPEC production compliance, rig count trends, and inventory data. Evaluating a moderate backwardation in the front-month futures spread confirms market tightness and refines the directional signal.

How does futures term structure indicate commodity market tightness?

Futures term structure indicates commodity market tightness by detecting contango or backwardation. Backwardation in the front-month futures spread confirms supply-demand judgments and suggests immediate demand is outpacing supply, signaling upward price pressure.

Can I use inventory cycle analysis to predict gold price trends?

You can use inventory cycle analysis to predict gold price trends by identifying the current stage of the inventory cycle. Mapping this cycle alongside commodity-specific seasonal patterns refines directional signals and highlights potential price trend shifts.

Do I need data from OPEC and EIA to evaluate commodity market tightness?

You need data from OPEC and EIA to evaluate commodity market tightness effectively. Combining OPEC production data, rig counts, inventories, and demand indicators provides the comprehensive dataset required to compute an accurate composite scoring template.