Dataset

This dataset was created by Sheikh Rakib

Released under Apache 2.0

Contents

Dataset historical price data for XAU/USD (gold vs USD) from 2004 to Feb 2025, captured across multiple timeframes including 5-minute, 15-minute, 30-minute, 1-hour, 4-hour, daily, weekly, and monthly intervals. Dataset includes Open, High, Low, Close prices, and Volume data.

XAUUSD Gold Price Historical Data 2004-2025

This dataset contains historical price data for XAUUSD (Gold vs US Dollar) from 2004 to 2025. Source: Kaggle dataset "novandraanugrah/xauusd-gold-price-historical-data-2004-2024" Content: The dataset includes CSV files with different time granularities (e.g., 1 minute, 5 minutes, 1 hour, 1 day). Each file typically contains the following columns:

Date Open High Low Close Volume

Usage: This dataset can be used for analyzing historical… See the full description on the dataset page: https://huggingface.co/datasets/ZombitX64/xauusd-gold-price-historical-data-2004-2025.

Dataset

This dataset was created by Yosep Krisna

Contents

Gold fell to 4,199.97 USD/t.oz on December 2, 2025, down 0.75% from the previous day. Over the past month, Gold's price has risen 4.93%, and is up 58.92% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gold - values, historical data, forecasts and news - updated on December of 2025.

Dataset

This dataset was created by Husain Ali Arif

Released under Community Data License Agreement - Sharing - Version 1.0

Contents

This data set consist of Gold price history.

This comprehensive dataset meticulously chronicles the intricate and dynamic trading history, encompassing myriad fluctuations and transactions, pertaining to the highly valued commodities of gold and the ubiquitous currency of dollars, elucidating the multifaceted interplay between global economic forces, market trends, and geopolitical influences over time

Dataset

This dataset was created by Ahmad Daffa Abiyyu

Released under Apache 2.0

Contents

The idea behind is to use this dataset to compare the accuracy of different momentum indicators specifically the RSI and MACD using some Machine learning algorithms.

This dataset contains historical minute-level OHLC (Open, High, Low, Close) prices for the XAUUSD pair (Gold vs US Dollar). The data spans from 2020-04-06 to 2025-10-30, providing a comprehensive view of gold price movements over this period.

The dataset was compiled to support quantitative research, algorithmic trading strategies, and machine learning applications in financial markets.

Data Structure The data is stored in CSV format with the following fields:

Timestamp - time of the trading interval Open – opening price at the start of the interval High – maximum price during the interval Low – minimum price during the interval Close – closing price at the end of the interval

This file focuses solely on the XAUUSD instrument. Each row represents one minute of trading activity.

Notes The dataset covers over five years of continuous trading data.

It is suitable for time-series analysis, backtesting trading strategies, and financial modelling.

Updates may be added in the future to extend coverage beyond October 2025.

Context:

The dataset is a detailed collection of XAU/USD (Gold vs. USD) price information, spanning two decades from 2004 to 2024. It’s designed to give a full picture of gold price movements, from quick changes every 5 minutes to broader shifts seen in monthly trends. Each entry tells a story, showing the highs, lows, opening, and closing prices of gold, plus the volume of trades at that time. By including data across various intervals—like 5-minute, 15-minute, 30-minute, 1-hour, 4-hour, daily, weekly, and monthly—it captures both the subtle ripples and the big waves in the market. This makes it not just numbers on a spreadsheet but a look into how gold's value has danced through global economic events, investor moods, and market shifts over these years. It's perfect for anyone who wants to dig deep into gold's journey, understand its patterns, and maybe even find clues for what might come next. The volume data adds another layer, revealing how much interest and activity there was behind each price move, making it a rich resource for traders and enthusiasts alike.