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.

Description:

This dataset contain daily gold price data from 2016 to 2026. It includes important detals like opening price, closing price, highest price, lowest price, and trading volume.It also includs extra features like moving averges, daily returns, and volatilty to help understand price trends and market changes. This dataset is useful for data analysis, visualization, and prediction projects.

Content:

The dataset includes daily gold price record from 2016 to 2026.

It contains the folowing columns:

Date: Trading date

Open: Opening price

High: High price of the day

Low: Lowest price of the day

Close: Closing price

Adj Close: Adjust closing price

Volume: Trading volume

Daily Return: Daily percentage change

MA_20, MA_50, MA_200: Moving average

Volatility_20: 20 day volatlity

Year, Month, Day_of_Week, Quarter: Time relate featurs

This dataset is useful for trend anlysis.

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.

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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.

This data set provides a comprehensive record of daily gold prices from January 19, 2014 to January 22, 2024. The data is provided by Nasdaq and includes key financial metrics for each trading day. . The dataset consists of the following columns:

• Date: A unique date for each trading day recorded.
• Close: The closing price of gold on the relevant date.
• Volume: Gold trading volume on the relevant date.
• Open: The opening price of gold on the relevant date.
• High: The highest recorded price of gold during the trading day.
• Low: The lowest price recorded for gold in the trading day. This data set is valuable for researchers, analysts, and data enthusiasts who want to understand historical trends, patterns, and changes in gold prices over time. Analysts can use this database to perform a variety of analyses, including price forecasting, trend spotting, and market behavior studies.

Possible conditions: - Time Series Analysis: Explore trends and patterns in gold prices over a given period. - Advanced Modeling: Build models to predict future gold prices based on historical data. - Trading Strategy Development: Develop and reverse trade strategies using the given price and volume information. - Market Sentiment Analysis: Analyze the impact of market events on gold prices and assess market sentiment. - Statistical Analysis: Perform tests and statistical analysis to gain insight into the characteristics of gold price movements.

Description: Users are advised to verify the accuracy and reliability of the information and to be aware of the limitations and biases inherent in financial databases. In addition, it is important to consider external factors such as economic indicators, geopolitical events, and market sentiment when using databases for analysis and use.

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).

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.

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

snapshot-tab-pane Gold Nanorods Market Size 2026-2030The gold nanorods market size is valued to increase by USD 281.1 million, at a CAGR of 10% from 2025 to 2030. Rising demand for gold nanorods from medical industry for cancer treatment will drive the gold nanorods market.Major Market Trends & InsightsNorth America dominated the market and accounted for a 40.4% growth during the forecast period.By Application - Medical segment was valued at USD 185.9 million in 2024By End-user - Pharmaceutical and biotechnology segment accounted for the largest market revenue share in 2024Market Size & ForecastMarket Opportunities: USD 426.1 millionMarket Future Opportunities: USD 281.1 millionCAGR from 2025 to 2030 : 10%Market SummaryThe gold nanorods market is characterized by its expanding applications in the biomedical and electronics sectors, driven by the unique optical properties of these materials. The ability to tune their absorption of light in the near-infrared spectrum is a primary growth engine, enabling their use in minimally invasive therapeutic procedures like photothermal cancer therapy.This trend is complemented by ongoing innovations in surface functionalization, which enhance biocompatibility and allow for precise targeting in drug delivery systems. For instance, a typical R&D scenario involves modifying nanorods to carry specific antibodies, improving their accumulation in malignant tissues while minimizing systemic toxicity.However, the market's progress is moderated by challenges related to the high cost of gold and the complexities of achieving scalable, uniform synthesis. As manufacturing processes mature and their utility in theranostics and high-sensitivity biosensors becomes more established, the market is positioned for sustained advancement across various high-tech industrial verticals.What will be the Size of the Gold Nanorods Market during the forecast period? Get Key Insights on Market Forecast (PDF) Request Free SampleHow is the Gold Nanorods Market Segmented?The gold nanorods industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD million" for the period 2026-2030, as well as historical data from 2020-2024 for the following segments.ApplicationMedicalDiagnosticsElectronicsOthersEnd-userPharmaceutical and biotechnologyAcademia and research institutesElectronics and renewable energyMeasurement20-30 nm10-20 nm50-100 nmOthersGeographyNorth AmericaUSCanadaMexicoEuropeGermanyUKFranceAPACChinaJapanSouth KoreaMiddle East and AfricaSaudi ArabiaUAEIsraelSouth AmericaBrazilArgentinaRest of World (ROW)By Application InsightsThe medical segment is estimated to witness significant growth during the forecast period.The medical segment is a primary adopter of gold nanorods, driven by advances in nanotechnology. The unique surface plasmon resonance of these anisotropic nanostructures makes them ideal for biomedical imaging and photothermal therapy.As photothermal ablation agents, they are at the forefront of developing new cancer treatment nanomaterials. Their use as precision drug delivery vehicles is also expanding, with firms reporting a 25% improvement in targeting efficiency for advanced therapeutic solutions.This underscores their role as critical diagnostic imaging agents and versatile plasmonic nanoparticles in next-generation medical applications, particularly in targeted drug delivery. Request Free SampleThe Medical segment was valued at USD 185.9 million in 2024 and showed a gradual increase during the forecast period. Request Free SampleRegional AnalysisNorth America is estimated to contribute 40.4% to the growth of the global market during the forecast period.Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period. See How Gold Nanorods Market Demand is Rising in North America Request Free SampleNorth America, with over 40% of the market's incremental growth, leads due to its strong research and development infrastructure and significant private investment in biotech.Government funding initiatives support advanced material synthesis, particularly for photostable imaging agents used in molecular diagnostics. The region's clear regulatory approval process facilitates the commercialization of technologies like hyperthermia therapy and gene delivery systems.APAC is the fastest-growing region, expanding at a rate nearly 25% higher than Europe, driven by its manufacturing capabilities in diagnostic assays and high surface-to-volume ratio particles for industrial chemical catalysts.This growth is linked to advancements in optical property tuning for various applications.Market DynamicsOur researchers analyzed the data with 2025 as the base year, al

The Indian gold market represents a cornerstone of the global precious metals landscape, characterized by deep cultural significance, substantial economic weight, and complex dynamics between domestic demand and international supply. As of the 2026 edition of this analysis, India stands as one of the world's largest consumers of gold, with consumption reaching 1.1K tons in 2021, placing it on par with China and behind only the United Kingdom in global volume terms. This consumption is predominantly met thro

The global gold market represents a cornerstone of the international financial and commodity landscape, characterized by its dual role as a strategic monetary asset and a critical industrial input. As of the 2026 analysis period, the market demonstrates a complex interplay between established demand centers, concentrated production, and sophisticated global trade networks. The period leading to 2035 is expected to be shaped by macroeconomic volatility, technological evolution in both consumption and extract

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

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Gold index forecast: Slight upward trend expected

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

The Gold Tester Market is estimated to be valued at USD 1.5 billion in 2025 and is projected to reach USD 2.7 billion by 2035, registering a compound annual growth rate (CAGR) of 6.2% over the forecast period.

Macroeconomic, logistics, and energy indicators linked to the Gold market in Bangladesh.

Global Gold Analysis Services market size 2021 was recorded $243.885 Million whereas by the end of 2025 it will reach $334.7 Million. According to the author, by 2033 Gold Analysis Services market size will become $630.373. Gold Analysis Services market will be growing at a CAGR of 8.235% during 2025 to 2033.

Macroeconomic, logistics, and energy indicators linked to the Gold market in Asia.

The XRF Analyzer for Gold and Jewellery Market size valuation is expected to reach USD 1.2 billion in 2034 expanding at a CAGR of 8.5%. The XRF Analyzer for Gold and Jewellery Market report classifies market by key companies, drivers, demand, trend, and forecast insights.