GOLD-OIL-RATIO — Daily CSV Download (Gold/Oil Ratio)

The gold/oil ratio measures how many barrels of crude oil one ounce of gold can buy. It captures the relative pricing of the two most important commodities — one a monetary hedge, the other an energy input. A rising ratio signals risk aversion (gold outperforming oil); a falling ratio signals growth optimism. Extreme readings have historically coincided with recessions or commodity cycle turning points.

Dataset: Gold/Oil Ratio (1960–2026) · Updated 2026-03-01

Latest Value
47.21
Mar 1, 2026
Historical Percentile
96.5th
Historically high
Historical Average
20.09
483 observations
Historical Range
HIGH
87.53
Apr 1, 2020
LOW
6.36
Jun 1, 2008

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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 gold price and the WTI oil price helps situate this indicator within the broader macro regime.


Dataset Overview

IndicatorGold/Oil Ratio (1960–2026)
GeographyGlobal
FrequencyMonthly
Period1960–2026
Variablesdate, gold_price, wti_price, gold_oil_ratio
FormatCSV, Excel (XLSX)
SourcesWorld Bank Pink Sheet (Gold) + FRED DCOILWTICO (WTI)
Last updated

Dataset Variables

The CSV and Excel files contain the following columns.

ColumnTypeDescription
dateDate (YYYY-MM-DD)Observation date
gold_priceFloatGold price (USD/oz)
wti_priceFloatWTI crude oil price (USD/bbl)
gold_oil_ratioFloatGold / WTI ratio

Column names match the CSV headers exactly.


Download the Complete Dataset

The full dataset is available in CSV and Excel formats.

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Direct CSV Access — Eco3min Structured Dataset

https://eco3min.fr/dataset/gold-oil-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/gold-oil-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/gold-oil-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

World Bank monthly gold price divided by WTI spot price (FRED). Both monthly (last observation of month).

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


Macroeconomic Dataset Hub

This dataset is part of the Eco3min macro-financial data repository.

Explore the Eco3min Dataset Hub


Sources

  • World Bank Pink Sheet (Gold) + FRED DCOILWTICO (WTI)

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.