Gold rose to 4,721.89 USD/t.oz on April 8, 2026, up 0.29% from the previous day. Over the past month, Gold's price has fallen 8.13%, but it is still 53.00% 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 April of 2026.

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.

Monthly gold prices in USD since 1833 (sourced from the World Gold Council). The data is derived from historical records compiled by Timothy Green and supplemented by data provided by the World Bank. ...

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.

Gold Prices - Historical chart and current data through 2026.

Dataset of historical annual gold prices from 1970 to 2024, including significant events and acts that impacted gold prices.

Banking and stock markets consider gold to be an important component of their economic and financial status. There are various factors that influence the gold price trend and its fluctuations. Accurate and reliable prediction of the gold price is an essential part of financial and portfolio management. Moreover, it could provide insights about potential buy and sell points in order to prevent financial damages and reduce the risk of investment. In this paper, different architectures of deep neural network (DNN) have been proposed based on long short-term memory (LSTM) and convolutional-based neural networks (CNN) as a hybrid model, along with automatic parameter tuning to increase the accuracy, coefficient of determination, of the forecasting results. An illustrative dataset from the closing gold prices for 44 years, from 1978 to 2021, is provided to demonstrate the effectiveness and feasibility of this method. The grid search technique finds the optimal set of DNNs’ parameters. Furthermore, to assess the efficiency of DNN models, three statistical indices of RMSE, RMAE, and coefficient of determination (R2), were calculated for the test set. Results indicate that the proposed hybrid model (CNN-Bi-LSTM) outperforms other models in total bias, capturing extreme values and obtaining promising results. In this model, CNN is used to extract features of input dataset. Furthermore, Bi-LSTM uses CNN’s outputs to predict the daily closing gold price.

Banking and stock markets consider gold to be an important component of their economic and financial status. There are various factors that influence the gold price trend and its fluctuations. Accurate and reliable prediction of the gold price is an essential part of financial and portfolio management. Moreover, it could provide insights about potential buy and sell points in order to prevent financial damages and reduce the risk of investment. In this paper, different architectures of deep neural network (DNN) have been proposed based on long short-term memory (LSTM) and convolutional-based neural networks (CNN) as a hybrid model, along with automatic parameter tuning to increase the accuracy, coefficient of determination, of the forecasting results. An illustrative dataset from the closing gold prices for 44 years, from 1978 to 2021, is provided to demonstrate the effectiveness and feasibility of this method. The grid search technique finds the optimal set of DNNs’ parameters. Furthermore, to assess the efficiency of DNN models, three statistical indices of RMSE, RMAE, and coefficient of determination (R2), were calculated for the test set. Results indicate that the proposed hybrid model (CNN-Bi-LSTM) outperforms other models in total bias, capturing extreme values and obtaining promising results. In this model, CNN is used to extract features of input dataset. Furthermore, Bi-LSTM uses CNN’s outputs to predict the daily closing gold price.

Bullion Price: Monthly Average: Mumbai: Gold: Standard data was reported at 131,172.000 INR/10 g in Dec 2025. This records an increase from the previous number of 122,962.000 INR/10 g for Nov 2025. Bullion Price: Monthly Average: Mumbai: Gold: Standard data is updated monthly, averaging 11,888.000 INR/10 g from Apr 1990 (Median) to Dec 2025, with 429 observations. The data reached an all-time high of 131,172.000 INR/10 g in Dec 2025 and a record low of 3,285.000 INR/10 g in Jul 1990. Bullion Price: Monthly Average: Mumbai: Gold: Standard data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under Global Database’s India – Table IN.PH: Memo Items: Bullion Price.

Copper rose to 5.74 USD/Lbs on April 8, 2026, up 3.49% from the previous day. Over the past month, Copper's price has fallen 1.08%, but it is still 30.74% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Copper - values, historical data, forecasts and news - updated on April of 2026.

Silver fell to 73.97 USD/t.oz on April 9, 2026, down 0.20% from the previous day. Over the past month, Silver's price has fallen 16.18%, but it is still 137.20% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Silver - values, historical data, forecasts and news - updated on April of 2026.

Gold Price Index: Prev Dec=100: HCMC data was reported at 100.120 Prev Dec=100 in Nov 2018. This records an increase from the previous number of 100.090 Prev Dec=100 for Oct 2018. Gold Price Index: Prev Dec=100: HCMC data is updated monthly, averaging 101.425 Prev Dec=100 from May 2006 (Median) to Nov 2018, with 150 observations. The data reached an all-time high of 166.450 Prev Dec=100 in Dec 2009 and a record low of 75.780 Prev Dec=100 in Dec 2013. Gold Price Index: Prev Dec=100: HCMC data remains active status in CEIC and is reported by Ho Chi Minh City Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.I029: Gold Price Index.

Information on the amount of gold that is available across various U.S. Treasury-maintained locations, as well as data on the weight and book value of these gold reserves.

This dataset provides values for GOLD RESERVES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

• Dataset: Daily gold futures (GC=F) from 2016-01-01 to present, processed to daily closes and returns.
• Model: Prophet (trend + seasonality + uncertainty intervals). Forecast horizon produced to 2026-03-31.

Why gold is elevated (2024–2026 drivers): - Real yields and inflation: Persistently low or negative real yields raise opportunity cost of holding gold, increasing demand as an inflation hedge.

Money Metals' Silver Price History dataset presents a detailed record of historical silver price trends, showing how past market cycles, currency shifts, and inflation have influenced today's silver market and providing a direct reference for current silver prices.

The dataset includes interactive historical price series that capture daily spot prices over the last 20 years, enabling users to hover or query specific dates for precise pricing and compare short-term volatility with long-term trajectories to assess silver purchases and sales more effectively.

Comprehensive contextual fields describe major drivers of silver prices, such as supply and demand, global monetary policy, currency devaluation, stock market conditions, and geopolitical events, clarifying the relationship between macroeconomic shocks and both sudden price spikes and prolonged downturns.

Background information documents silver as an investment, its role as a store of value, and its use in coins, bullion bars, rounds, ETFs, and IRAs, illustrating why silver has historically functioned as a hedge against inflation and economic uncertainty for diversified portfolios.

Key informational elements captured in the Silver Price History dataset include:

• Live and historical spot prices for silver with chart-ready time series and customizable date ranges.

• Explanations of factors that move the silver market, from interest rates and monetary expansion to industrial demand in solar and electronics.

• Practical guidance on spot pricing, chart interpretation, and dealer premiums relevant when users buy silver.

Additional documentation outlines how negative real interest rates, de-dollarization efforts, and industrial demand from sectors like solar energy and electronics interact with silver price history, enabling alignment of analytical models with broader macroeconomic patterns.

Methodological notes summarize how spot prices are formed on COMEX and other futures exchanges, why retail bullion premiums exist over spot, and how conditions in physical markets can diverge from quoted paper prices, providing essential structure for accurate modeling and backtesting.

Overall, the Silver Price History dataset offers a structured foundation for benchmarking historical highs and lows, studying the impact of financial crises and policy changes, and evaluating silver's performance versus other assets in risk analysis, asset allocation, and long-term precious metals research.

Gold Price Index: 2009=100 data was reported at 159.810 2009=100 in Dec 2015. This records a decrease from the previous number of 164.420 2009=100 for Nov 2015. Gold Price Index: 2009=100 data is updated monthly, averaging 179.922 2009=100 from Nov 2009 (Median) to Dec 2015, with 74 observations. The data reached an all-time high of 241.880 2009=100 in Sep 2011 and a record low of 129.060 2009=100 in Nov 2009. Gold Price Index: 2009=100 data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.I029: Gold Price Index. Rebased from 2009p to 2014p. Replacement Series ID: 373678967.

Context

I'm creating a new website in which I need this type of data. I didn't found it easily available as I had to scrape it from an interactive graph, so now I upload it here for everyone

Content

In this dataset you can find real and nominal gold prices since 1791 to 2020. The explanation of the differences between real and nominal prices are:

· Nominal values are the current monetary values. · Real values are adjusted for inflation and show prices/wages at constant prices. · Real values give a better guide to what you can actually buy and the opportunity costs you face.

Example of real vs nominal:

· If you receive an 8% increase in your wages from £100 to £108, this is the nominal increase. · However, if inflation is 2%, then the real increase in wages is (8-2%) 6%. · The real wage is a better guide to how your living standards changes. It shows what you are actually able to buy with the extra increase in wages. · If wages increased 80%, but inflation was also 80%, the real increase in wages would be 0% – in effect, despite the monetary increase in wages of 80%, the amount of goods and services you could buy would be the same.

Hope this dataset is useful for you! Any questions or answers do not hesitate in contact me.

Spain Gold Price: EUR data was reported at 34.010 EUR/g in Oct 2018. This records an increase from the previous number of 33.060 EUR/g for Sep 2018. Spain Gold Price: EUR data is updated monthly, averaging 20.085 EUR/g from Jan 1999 (Median) to Oct 2018, with 238 observations. The data reached an all-time high of 43.590 EUR/g in Sep 2012 and a record low of 7.780 EUR/g in Aug 1999. Spain Gold Price: EUR data remains active status in CEIC and is reported by Bank of Spain. The data is categorized under Global Database’s Spain – Table ES.P006: Crude Oil and Gold Price.

Gold Price Index: 2000=100 data was reported at 455.210 2000=100 in Oct 2009. This records an increase from the previous number of 433.490 2000=100 for Sep 2009. Gold Price Index: 2000=100 data is updated monthly, averaging 172.460 2000=100 from Jul 2001 (Median) to Oct 2009, with 99 observations. The data reached an all-time high of 455.210 2000=100 in Oct 2009 and a record low of 98.400 2000=100 in Jul 2001. Gold Price Index: 2000=100 data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.I029: Gold Price Index. Rebased from 2000=100 to 2005=100.