ismailtasdelen/historical-gold-prices

Historical Gold Price Dataset

A comprehensive, research-grade collection of gold price observations spanning from 1833 to 2026 — over 193 years of continuous data.

Dataset Summary

This dataset provides clean, structured, machine-readable historical gold data suitable for:

• —Machine learning and time-series forecasting
• —Quantitative finance research
• —Financial data analysis
• —Economic research
• —Gold price prediction
• —Correlation analysis
• —Financial education
• —Algorithmic trading research
• —LLM and AI training

Dataset Structure

Data Files

Key Columns (gold_prices.csv)

• —date: Observation date (YYYY-MM-DD)
• —gold_price_usd: Gold price in USD per troy ounce
• —gold_price_usd_per_gram: Gold price in USD per gram
• —gold_price_usd_per_kg: Gold price in USD per kilogram
• —gold_price_indexed: Price indexed to 100 at start of series
• —daily_return: Daily/monthly percentage return
• —log_return: Logarithmic return
• —volatility_30d/90d/1y: Annualized rolling volatility
• —ma_7d/30d/50d/100d/200d: Moving averages
• —rsi_14d: 14-period Relative Strength Index
• —macd/macd_signal/macd_histogram: MACD indicators
• —drawdown: Drawdown from all-time high
• —momentum_7d/14d/30d/90d: Price momentum

Data Sources

Usage

Loading with pandas

import pandas as pd

gold_prices = pd.read_csv("gold_prices.csv", parse_dates=["date"])
macro = pd.read_csv("gold_macro.csv", parse_dates=["date"])
events = pd.read_csv("gold_events.csv", parse_dates=["event_start_date", "event_end_date"])

Loading with Hugging Face datasets

from datasets import load_dataset

dataset = load_dataset("your-username/historical-gold-prices")
train = dataset["train"]

Citation

@dataset{historical_gold_prices_2026,
  title = {Historical Gold Price Dataset},
  author = {Dataset Engineering Pipeline},
  year = {2026},
  publisher = {Hugging Face},
  note = {Gold prices from 1833 to 2026 with macroeconomic indicators}
}

License

This dataset is released under the Open Data Commons Public Domain Dedication and License (PDDL).