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

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.

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.

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

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.

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

Content

This dataset contains historical daily gold price data along with multiple technical indicators used for time series analysis and forecasting. It includes essential market features such as opening price, closing price, highest and lowest prices of the day, adjusted close price, and trading volume. In addition to raw price data, the dataset provides calculated indicators like moving averages (7-day, 30-day, 90-day), daily returns, short-term and long-term volatility, Relative Strength Index (RSI), MACD and its signal line, and Bollinger Bands (upper and lower). These engineered features make the dataset highly suitable for machine learning models, especially for price prediction and trend analysis tasks.

Context

The purpose of this dataset is to support gold price forecasting using statistical and machine learning techniques. Gold is a highly volatile and globally traded commodity, making it an important asset for financial analysis and investment strategies. By combining historical price movements with technical indicators, this dataset enables analysts and data scientists to study patterns, detect trends, measure momentum, and build predictive models. It is particularly useful for time series forecasting, regression modeling, feature engineering practice, and financial data analysis projects in data science and machine learning.

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.

Explore short and medium-term GOLD 24 Carat/Oz price prediction analysis and check long-term GOLD 24 Carat/Oz forecasts for 2026, 2030, and beyond.

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

Gold Futures (GC=F) Price Prediction Dataset

This dataset contains cleaned historical Gold Futures (GC=F) price data along with predictions generated using a Long Short-Term Memory (LSTM) deep learning model.

The dataset is designed for financial time-series analysis, forecasting, and machine learning research.

Files Included

clean_price_data.csv

Daily OHLCV gold futures data with engineered technical indicators.

Columns: - Open — Opening price - High — Daily high price - Low — Daily low price - Close — Closing price - Volume — Trading volume - Returns — Daily percentage returns - Ma_7 — 7-day moving average - Ma_21 — 21-day moving average - Volatility — 21-day rolling volatility

price_predictions.csv

Model output generated using an LSTM neural network.

Columns: - Actual — Actual closing prices - Predicted — LSTM-predicted closing prices

Data Source

• Yahoo Finance
• Ticker: GC=F (Gold Futures)

Use Cases

• Financial time-series forecasting
• Deep learning model benchmarking
• Quantitative finance research
• Trading strategy experimentation
• Interactive dashboards and visualization

Disclaimer

This dataset is intended for educational and research purposes only. It does not constitute financial or investment advice.

Update Frequency

This dataset may be updated periodically with newer market data.

As of December 1st, 2025, gold futures contracts to be settled in June 2031 were trading on U.S. markets at around ***** U.S. dollars per troy ounce. This is above the price of ******* U.S. dollars per troy ounce for contracts to be settled in December 2025, indicating that gold traders expect the price of gold to rise over the next five years. Gold futures are contracts that effectively lock in a price for an amount of gold to be purchased at a time in the future, which can then be traded on markets. Futures markets therefore provide an indicator of how investors think a commodities market will develop in the future.

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