COPPER-GOLD-RATIO — Daily CSV Download (Copper/Gold Ratio)
The copper/gold ratio is a market-implied growth indicator. Copper is an industrial metal driven by manufacturing and construction demand; gold is a safe-haven asset. When copper outperforms gold, the market is pricing in growth. When gold outperforms copper, the market is pricing in fear. The ratio has historically tracked the direction of Treasury yields and PMI readings — making it a useful cross-check for macro regime identification.
Dataset: Copper/Gold Ratio (1960–2026) · Updated 2026-03-01
Macro Takeaway
This indicator is a key component of the macro-financial monitoring framework. Its current level relative to its historical distribution — captured in the percentile and z-score above — provides immediate context for whether conditions are historically normal, stretched, or compressed.
Cross-referencing with the copper price and the ISM PMI helps situate this indicator within the broader macro regime.
Dataset Overview
| Indicator | Copper/Gold Ratio (1960–2026) |
|---|---|
| Geography | Global |
| Frequency | Monthly |
| Period | 1960–2026 |
| Variables | date, copper_price, gold_price, copper_gold_ratio |
| Format | CSV, Excel (XLSX) |
| Sources | FRED PCOPPUSDM (Copper) + World Bank Pink Sheet (Gold) |
| Last updated | — |
Dataset Variables
The CSV and Excel files contain the following columns.
| Column | Type | Description |
|---|---|---|
date | Date (YYYY-MM-DD) | Observation date |
copper_price | Float | Copper price (USD/lb) |
gold_price | Float | Gold price (USD/oz) |
copper_gold_ratio | Float | Copper/Gold ratio (×1000) |
Column names match the CSV headers exactly.
Download the Complete Dataset
The full dataset is available in CSV and Excel formats.
Direct CSV Access — Eco3min Structured Dataset
https://eco3min.fr/dataset/copper-gold-ratio.csv
This URL returns the complete dataset in CSV format. It can be used directly in pandas, R, curl, or any data tool.
Using the Dataset in Python
import pandas as pd url = "https://eco3min.fr/dataset/copper-gold-ratio.csv" df = pd.read_csv(url, parse_dates=["date"]) print(df.head()) print(df.describe())
Using the Dataset in R
library(readr) url <- "https://eco3min.fr/dataset/copper-gold-ratio.csv" df <- read_csv(url) head(df) summary(df)
Both examples load the dataset directly from the URL — no download or API key required.
Methodology
Copper price (USD/lb, FRED) divided by World Bank monthly gold price (USD/oz), multiplied by 1000 for readability.
This dataset is updated automatically via the Eco3min data pipeline.
Historical Regimes
Historical regime analysis for this dataset will be added in a future update. The key stats block above provides immediate context for the current reading relative to the full historical distribution.
Related Macroeconomic Datasets
- Copper Price History — The numerator
- Gold Price History — The denominator
- Gold/Oil Ratio — Another cross-commodity indicator
- ISM Manufacturing PMI — Growth context
Macroeconomic Dataset Hub
This dataset is part of the Eco3min macro-financial data repository.
Explore the Eco3min Dataset Hub
Sources
- FRED PCOPPUSDM (Copper) + World Bank Pink Sheet (Gold)
Dataset Reference
Last updated — 18 April 2026
This article provides economic and financial analysis for informational purposes only. It does not constitute investment advice or a personalized recommendation. Any investment decision remains the sole responsibility of the reader.