SP500-GOLD-RATIO — Daily CSV Download (S&P 500 / Gold Ratio)

The S&P 500 / Gold ratio is one of the oldest measures of equity valuation relative to real assets. When equities outperform gold, the ratio rises — reflecting confidence in earnings growth and financial assets. When gold outperforms, the ratio falls — signaling distrust in fiat-denominated returns. The ratio peaked in 2000, collapsed through 2011, and has been rising unevenly since. No single CSV hub provides this data — until now.

Dataset: S&P 500 / Gold Price Ratio (1960–2026) · Updated 2026-03-01

Latest Value
1.34
Mar 1, 2026
Historical Percentile
0th
Historically low
Historical Average
2.07
120 observations
Historical Range
HIGH
2.66
Dec 1, 2021
LOW
1.34
Mar 1, 2026

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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 S&P 500 and the gold price helps situate this indicator within the broader macro regime.


Dataset Overview

IndicatorS&P 500 / Gold Price Ratio (1960–2026)
GeographyUnited States / Global
FrequencyMonthly
Period1960–2026
Variablesdate, sp500_level, gold_price, sp500_gold_ratio
FormatCSV, Excel (XLSX)
SourcesFRED SP500 + World Bank Pink Sheet (Gold)
Last updated

Dataset Variables

The CSV and Excel files contain the following columns.

ColumnTypeDescription
dateDate (YYYY-MM-DD)Observation date
sp500_levelFloatS&P 500 index level
gold_priceFloatGold price (USD/oz)
sp500_gold_ratioFloatS&P 500 / Gold 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/sp500-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/sp500-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/sp500-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

S&P 500 index level divided by World Bank monthly gold price. Both resampled to monthly.

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

  • FRED SP500 + 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.