Gold rose to 4,533.64 USD/t.oz on March 27, 2026, up 3.51% from the previous day. Over the past month, Gold's price has fallen 14.82%, but it is still 46.99% higher than a year ago, 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 March of 2026.

This comprehensive dataset contains 10 years of historical gold futures prices (2016-2026) sourced from Yahoo Finance, along with advanced machine learning predictions extending through December 2026. Perfect for financial analysis, time series forecasting, and machine learning enthusiasts.

Keywords: gold price prediction, time series forecasting, XGBoost, financial analysis, commodity trading, investment analysis, machine learning finance, gold futures, technical analysis, price forecasting

Historical Data Columns:** - Date (index) - Open, High, Low, Close prices (USD) - Volume - Adjusted Close Machine Learning Projects - Time series forecasting - Regression modeling - Feature engineering practice - Model comparison studies

✅ Financial Analysis - Investment strategy backtesting - Risk assessment - Trend analysis - Portfolio optimization

✅ Educational Purposes - Learning technical analysis - Understanding commodity markets - Practicing data visualization - Exploring EDA techniques

Model Performance

🤖 XGBoost Regression Model: - R² Score: 0.99+ (99%+ variance explained) - MAPE: <1% (prediction error) - RMSE: ~$15-20 (typical error range) - Training Set: 2,000+ samples - Test Set: 500+ samples

Data Source & Citation

Primary Source: Yahoo Finance (yfinance Python API) Ticker Symbol: GC=F (Gold Futures - COMEX) API: https://pypi.org/project/yfinance/ License: Educational and research purposes

Description for Kaggle Project

Title: Gold Price Prediction

Subtitle: Analysis and Forecasting Using Gold Price Data from Kaggle's goldstock.csv

Description This project aims to analyze and forecast gold prices using a comprehensive dataset spanning from January 19, 2014, to January 22, 2024. The dataset, sourced from Kaggle, includes daily gold prices with key financial metrics such as opening and closing prices, trading volume, and the highest and lowest prices recorded each trading day. Through this project, we perform time series analysis, develop predictive models, formulate and backtest trading strategies, and conduct market sentiment and statistical analyses.

Upload an Image - Choose a relevant image such as a graph of gold price trends, a gold bar, or an illustrative image related to financial data analysis.

Datasets - Source: Kaggle - File: goldstock.csv

Context, Sources, and Inspiration -Context: Understanding the dynamics of gold prices is crucial for investors and financial analysts. This project provides insights into historical price trends and equips users with tools to predict future prices. - Sources: The dataset is sourced from Kaggle and contains historical gold price data obtained from Nasdaq. Inspiration: The inspiration behind this project is to enable researchers, analysts, and data enthusiasts to make informed decisions, develop trading strategies, and contribute to a broader understanding of market behavior.

Dataset Card for Sentiment Analysis of Commodity News (Gold)

This is a news dataset for the commodity market which has been manually annotated for 10,000+ news headlines across multiple dimensions into various classes. The dataset has been sampled from a period of 20+ years (2000-2021). The dataset was curated by Ankur Sinha and Tanmay Khandait and is detailed in their paper "Impact of News on the Commodity Market: Dataset and Results." It is currently published by the authors on… See the full description on the dataset page: https://huggingface.co/datasets/SaguaroCapital/sentiment-analysis-in-commodity-market-gold.

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Content

This dataset presents a comprehensive overview of gold prices over the last ten years, capturing daily or periodic price movements to help analyze long-term market trends. It provides valuable insights into how gold has responded to global economic changes, inflation, geopolitical events, and shifts in investor sentiment. By examining this data, users can identify patterns such as periods of steady growth, sudden price spikes, and market corrections. The dataset is useful for investors, researchers, financial analysts, and students who want to understand gold’s performance as a safe-haven asset and evaluate its role in portfolio diversification. Overall, it offers a clear picture of gold market behavior across a decade, supporting both historical analysis and future forecasting.

Context

This dataset is created to provide historical insight into gold price movements over the past ten years, offering a strong foundation for financial and economic analysis. Gold is widely considered a safe-haven asset, especially during times of inflation, currency fluctuations, and global uncertainty. By compiling a decade of price data, this dataset allows users to study long-term trends, seasonal patterns, and market volatility. It helps researchers and investors understand how gold prices react to economic conditions, interest rate changes, and major world events. The context of this dataset makes it valuable for investment strategy planning, academic research, forecasting models, and comparative analysis with other financial assets such as stocks or currencies.

The size of the Gold Market was valued at USD 3.2 Trillion in 2023 and is projected to reach USD 4.5 Trillion by 2032, with an expected CAGR of 7.38% during the forecast period. Recent developments include: March 2023: Pan American Silver Corporation acquired all the issued and outstanding common shares of Yamana Gold Inc., as part of the arrangement, which includes its mines and increased the geographical operations of the company in Latin America., February 2023: Barrick Gold, the world's second-biggest gold producer, announced a 10% increase in attributable proved and probable gold mineral reserves to 76 million ounces net of depletion in 2022 while maintaining current reserves.. Key drivers for this market are: Demand for Gold in the form of Jewelry and Long-term Savings, Increasing Consumption in High-End Electronics Applications; Other Drivers. Potential restraints include: Declining Ore Grades and Other Technical Challenges, Other Restraints. Notable trends are: Jewelry Segment to Dominate the Demand.

The Gold Market Report is Segmented by Source (Primary Mining and Recycled Gold), Type (Alloyed Gold and Layered Gold), Application (Jewellery, Electronics, Awards and Status Symbols, and Other Applications (Dental, Aerospace, Etc. )), and Geography (Production and Consumption Analysis Across Major Regions). The Market Forecasts are Provided in Terms of Volume (tons).

This statistic depicts the average annual prices for gold from 2014 to 2024 with a forecast until 2026. In 2024, the average price for gold stood at 2,388 U.S. dollars per troy ounce, the highest value recorded throughout the period considered. In 2026, the average gold price is expected to increase, reaching 3,200 U.S. dollars per troy ounce.

FINAL_USO Dataset

  Overview

The FINAL_USO dataset is a comprehensive collection of financial data, including stock prices, volumes, and other relevant metrics for various market indices and individual securities. This dataset is particularly suited for financial analysis, time series forecasting, and market trend analysis.

  Dataset Structure

The dataset is provided as a single CSV file named FINAL_USO.csv. It contains 1,718 entries and 80 columns, each… See the full description on the dataset page: https://huggingface.co/datasets/mltrev23/gold-price.

This dataset provides daily gold price data (Gold Futures - GC=F) for the last one year. It includes Open, High, Low, Close, Volume, as well as calculated features like 7-day and 30-day Moving Averages and Daily Returns.

Project Details

• Author: Khurram Shahzad
• Mentor: Dr. Aammar Tufail
• Provenance: Data sourced via Yahoo Finance API (yfinance), Ticker: GC=F
• DOI: 10.5281/zenodo.PENDING (Reserved for Kaggle Release)

Context

From the historic 2025 Bull Run to the Jan 30, 2026 Crash, this dataset captures a pivotal time in commodities trading.

Historical AI model predictions and analysis for Gold (spot) stock across multiple timeframes and confidence levels

View monthly updates and historical trends for Gold Price. from United Kingdom. Source: World Bank. Track economic data with YCharts analytics.

Comprehensive dataset of Wall Street analyst gold price forecasts for 2026, including institutional targets, sentiment analysis, and consensus metrics

The size of the gold market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of XXX% during the forecast period. Recent developments include: In March 2023, Pan American Silver Corporation announced the acquisition of all the issued and outstanding common shares of Yamana Gold Inc. as part of the arrangement, which includes its mines and increased the geographical operations of the company in Latin America..

This document contains statistical data and analysis of global gold demand and prices from 2010 to 2024, presented by Dojipedia, a website focused on Forex investment information. The data is organized quarterly and includes various categories of gold demand such as jewelry fabrication, technology use, investment, and central bank purchases. It also provides the LBMA gold price in US dollars per ounce for each quarter.The document highlights significant events that influenced gold prices and demand during this period. These events include major economic crises, geopolitical tensions, and market shifts. For instance, it mentions the European debt crisis in 2010, the U.S. credit rating downgrade in 2011, the Federal Reserve's quantitative easing tapering signals in 2013, and the COVID-19 pandemic's impact starting in 2020.The data shows how gold demand and prices often increase during times of economic uncertainty or political instability, as investors view gold as a safe-haven asset. For example, gold prices reached record highs in 2024 amid global economic and geopolitical uncertainties.Dojipedia presents itself as a platform with five years of Forex market investment experience. The site offers free educational content on technical analysis methods such as Elliott Wave, ICT Trading, and Smart Money Concept. It also mentions plans to publish free books on technical analysis.The document includes a disclaimer stating that the information provided is for general purposes only and not financial advice. It warns about the high risks associated with investing in financial markets like CFDs, Forex, cryptocurrencies, and gold. The disclaimer emphasizes that leveraged products may not be suitable for all investors due to the high risk to capital.Overall, this document serves as a comprehensive resource for those interested in gold market trends and their relationship to global economic events over the past decade and a half.

This dataset contains daily gold futures market data for the last five years, sourced from Yahoo Finance using the ticker GC=F.

It is designed specifically for time-series forecasting tasks, where the objective is to model and predict future gold prices using historical trends and technical indicators.

The dataset includes traditional OHLCV market data (Open, High, Low, Close, Volume) along with commonly used technical analysis indicators such as moving averages, volatility measures, RSI, MACD, and Bollinger Bands.

This makes it suitable for: • Financial time-series forecasting • Deep learning models (LSTM, GRU) • Statistical models (ARIMA, SARIMA) • Prophet forecasting • Feature engineering and EDA ⸻

📊 Columns Description

date – Trading date.

open – Opening price of gold futures for the day.

high – Highest price reached during the trading session.

low – Lowest price reached during the trading session.

close – Closing price of gold futures for the day.

volume – Trading volume for gold futures contracts.

ma_7 – 7-day moving average of closing price.

ma_30 – 30-day moving average of closing price.

ma_90 – 90-day moving average of closing price.

daily_return – Percentage change in closing price from the previous day.

volatility_7 – 7-day rolling standard deviation of daily returns.

volatility_30 – 30-day rolling standard deviation of daily returns.

rsi – Relative Strength Index, a momentum indicator measuring overbought/oversold conditions.

macd – Moving Average Convergence Divergence value.

macd_signal – Signal line for MACD.

bb_upper – Upper Bollinger Band.

bb_lower – Lower Bollinger Band.

⸻

🎯 Use Cases • Gold price forecasting • Financial trend analysis • Volatility modeling • Feature importance studies • Time-series ML projects

Gold prices Jan 2026: China USD 151786372/MT, India USD 151786480/MT, USA USD 151786457/MT.

Explore short and medium-term Gold price forecast analysis and check long-term Gold predictions for 2026, 2030, and beyond.

Published on: January 31, 2020

AhaSignals' analysis of the LBMA Annual Gold Price Forecast Survey, covering 2020–2026 with 195+ individual analyst predictions. This page provides derived analytical metrics including accuracy rankings, consensus divergence indices, and dispersion scores. For the original survey data, please visit the LBMA directly.