Gold fell to 3,386.92 USD/t.oz on August 8, 2025, down 0.25% from the previous day. Over the past month, Gold's price has risen 2.21%, and is up 39.35% 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 August of 2025.

Content

Daily gold prices (2014-01-01 to 2025-01-06)

Acknowledgements

Raw Data Source: MCX Market This data frame is pre-processed to time series analysis and forecasting

Inspiration

Forecast, Predict Prices, Time Series Forecasting

Note

Prices are in INR (Indian Rupee) for 10gm of Gold 24K.

Gold Prices in this dataset makes no guarantee or warranty on the accuracy or completeness of the data provided.

Analysis of ‘Daily Gold Price (2015-2021) Time Series’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/nisargchodavadiya/daily-gold-price-20152021-time-series on 13 February 2022.

--- Dataset description provided by original source is as follows ---

Content

Daily gold prices (2014-01-01 to 2021-12-29)

Acknowledgements

Raw Data Source: https://in.investing.com/commodities/gold-mini This data frame is preprocessed to time series analysis and forecasting

Inspiration

Forecast, Predict Prices, Time Series Forecasting

Note

Gold Prices in this dataset makes no guarantee or warranty on the accuracy or completeness of the data provided.

--- Original source retains full ownership of the source dataset ---

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...

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F19238395%2F16f18b685654bc1f07d8d614bcea2e13%2FScreenshot%202024-06-25%20141846.png?generation=1719305359168334&alt=media" alt="">

Gold Price Prediction in INR (2004-2024)🇮🇳 - Can You Forecast the Future? ✨

Data Description:

1. Time Period: October 2004 - December 2024 (20 years) - Long-term Trend Analysis!
2. Frequency: Monthly Average Gold Price (INR) - Uncover Seasonality!
3. Source: Financial Service Website (verified) ✅ - Reliable Data for Accurate Predictions!

Potential Applications:

• Time Series Analysis: Analyze trends and seasonality in gold prices. - Unravel the Gold Market Mystery! ️‍♀️
• Gold Price Prediction: Forecast future gold prices using ARIMA, SARIMA, fbProphet, etc. - Predict the Next Big Move!

Key Points:

• Long-Term Trend: Explore the evolution of gold prices over two decades. - See How Gold Has Changed Over Time! ⏳
• Prediction Models: Evaluate the effectiveness of different time series forecasting models. - Find the Best Tool for the Job!
• INR Focus: Gain insights specific to the Indian gold market. 🇮🇳 - Understand the Indian Gold Market Landscape! ️

⚠️ Note:

• Past performance does not guarantee future results.

Bonus:

This dataset allows you to explore the fascinating world of gold price prediction in the Indian market. Challenge yourself! Can you develop a model that outperforms the rest?

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.

Context

Gold, the yellow shiny metal, has been the fancy of mankind since ages. From making jewelry to being used as an investment, gold covers a huge spectrum of use cases. Gold, like other metals, is also traded on the commodities indexes across the world. For better understanding time series in a real-world scenario, we will work with gold prices collected historically and predict its future value.

Content

Metals such as gold have been traded for years across the world. Prices of gold are determined and used for trading the metal on commodity exchanges on a daily basis using a variety of factors. Using this daily price-level information only, our task is to predict future price of gold.

Data

For the purpose of implementing time series forecasting technique , i will utilize gold pricing from Quandl. Quandl is a platform for financial, economic, and alternative datasets. To access publicly shared datasets on Quandl, we can use the pandas-datareader library as well as quandl (library from Quandl itself). The following snippet shows a quick one-liner to get your hands on gold pricing information since 1970s.

import quandl gold_df = quandl.get("BUNDESBANK/BBK01_WT5511")

The time series is univariate with date and time feature

Starter Kernel(s)

-Start with Fundamentals: TSA & Box-Jenkins Methods

This notebook is an overview of TSA and traditional methods

Acknowledgements

For this dataset and tasks, i will depend upon Quandl. The premier source for financial, economic, and alternative datasets, serving investment professionals. Quandl’s platform is used by over 400,000 people, including analysts from the world’s top hedge funds, asset managers and investment banks.

Inspiration

• Forecast gold price

*If you find the data useful your upvote is an explicit feedback for future works, Have fun exploring data!*

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MORE DATASETs ...

In 2024, one troy ounce of gold had an annual average price of ******** U.S. dollars. Gold pricing determinants Gold is a metal that is considered malleable, ductile, and is known for its bright lustrous yellow color. This transition metal is highly valued as a precious metal for its use in coins, jewelry, and in investments. Gold was also once used as a standard for monetary policies between different countries. The price of gold is determined by daily fixings where participants agree to buy or sell at a set price or to maintain the price through supply and demand control. For gold, companies like Barclays Capital, Scotia-Mocatta, Sociétè Générale, HSBC, and Deutsche Bank are members in gold fixing at the London Bullion Market Association.

Description The Import/Export Price Index (End Use) for Nonmonetary Gold refers to a measure used to track changes in the prices of imported nonmonetary gold. Nonmonetary gold refers to gold that is not used as a medium of exchange or currency but rather for purposes such as jewelry, industrial applications, or investment.

The Import/Export Price Index tracks the changes in the prices paid for goods and services purchased/exported from other countries.

By focusing specifically on nonmonetary gold, this index provides insights into the cost fluctuations of imported/Exported gold for various end uses, such as jewelry making, industrial processes, or investment purposes.

Monitoring the Gold Price Index for Nonmonetary Gold can be useful for businesses, investors, policymakers, and economists to understand trends in the international gold market, gauge inflationary pressures, and make informed decisions related to trade, investment, and monetary policy.

Files IQ12260.csv --> Export Price Index IR14270.csv --> Import Price Index

Citation U.S. Bureau of Labor Statistics, Import Price Index (End Use): Nonmonetary Gold [IR14270], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/IR14270, February 29, 2024.

U.S. Bureau of Labor Statistics, Export Price Index (End Use): Nonmonetary Gold [IQ12260], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/IQ12260, February 29, 2024.

Dataset

This dataset was created by Nguyễn Văn Phong

Contents

Index Time Series for ProShares Ultra Gold. The frequency of the observation is daily. Moving average series are also typically included. The fund seeks to meet its investment objective by investing, under normal market conditions, in any one of, or combinations of, Financial Instruments (including swap agreements, futures contracts, forward contracts and option contracts) based on the benchmark. The types and mix of Financial Instruments in which the fund invests may vary daily at the discretion of the Sponsor. It will not invest directly in any commodity.

This dataset package includes four datasets

Content

Historical daily prices of gold and silver since 1962 to now. Price per ounce in USD.

Acknowledgements

Data obtained from LBMA

Inspiration

You try different things on this dataset:

• predict the future price of gold and silver
• study the correlation between gold and silver
• combine with other datasets such as stocks and crypto currencies datasets to get insightsLBMA

Monthly gold prices (USD) in London from Bundesbank.

General: 1 ounce of fine gold = 31.1034768g. Method of calculation:

• Since 1 April 1968, calculated from the daily morning fixing;
• From January 1950 to 21 March 1954, calculated using the Bank of England's gold purchasing price (1 ounce of fine = pound 12.40) in connection with the average exchange rate for the pound in New York (up to the end of 1952; source: Federal Reserve Bulletin) and, from January 1953, midpoint exchange rates for the US dollar in London (source: Financial Times (FT)).
• From 22 March 1954 to December 1959, calculated using the fixing price for gold bars of approx. 12 1/2 kg and 995/1000 fineness and over (so-called standard bars) according to data from Metallgesellschaft AG, Frankfurt am Main, in connection with the average midpoint exchange rates for the US dollar in London (source: FT).
• From January 1960 to 14 March 1968, average fixing price for standard bars as specified in the Bank of England's Quarterly Bulletin.
• On 15 March 1968, fixing price suspended. Gold market split into an official (reserved for central banks) and a free market as a result of the Washington Communique of 17 March 1968. Gold trading suspended from 18 to 29 March 1968.
• Sources for daily prices: April 1968 - March 1974: FT; April 1974 - December 1980: Samuel Montagu & Co. Ltd.; January 1981 - December 2005: FT; January 2006 - present: Reuters.
• Comment on 1968-03: Average from 1 to 14 March 1968.

License: PDDL (Source indicates no restrictions on data).

Accurate prediction of gold prices is crucial for investment decision-making and national risk management. The time series data of gold prices exhibits random fluctuations, non-linear characteristics, and high volatility, making prediction extremely challenging. Various methods, from classical statistics to machine learning techniques like Random Forests, Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN), have achieved high accuracy, but they also have inherent limitations. To address these issues, a model that combines Temporal Convolutional Networks (TCN) with Query (Q) and Keys (K) attention mechanisms (TCN-QV) is proposed to enhance the accuracy of gold price predictions. The model begins by employing stacked dilated causal convolution layers within the TCN framework to effectively extract temporal features from the sequence data. Subsequently, an attention mechanism is introduced to enable adaptive weight distribution according to the information features. Finally, the predicted results are generated through a dense layer. This method is used to predict the time series data of gold prices in Shanghai. The optimized model demonstrates a substantial improvement in Mean Absolute Error (MAE) compared to the baseline model, achieving reductions of approximately 5.47% in the least favorable case and up to 33.69% in the most favorable scenario across four experimental datasets. Additionally, the model is tested across different time steps and shows satisfactory performance in long sequence predictions. To validate the necessity of the model components, this paper conducts ablation experiments to confirm the significance of each segment.

Index Time Series for Xtrackers IE Physical Gold ETC. The frequency of the observation is daily. Moving average series are also typically included. NA

Time series of major commodity prices and indices including iron, cooper, wheat, gold, oil. Data comes from the International Monetary Fund (IMF).

All rights are reserved

Data

Dataset contains Monthly prices for 53 commodities and 10 indexes, starting from 1980 to 2016, Last updated on march 17, 2016. The reference year for indexes are 2005 (meaning the value of indexes are 100 and all other values are relative to that year).

License

The IMF grants permission to visit its Sites and to download and copy information, documents, and materials from the Sites for personal, noncommercial usage only, without any right to resell or redistribute or to compile or create derivative works, subject to these Terms and Conditions of Usage and also subject to more specific restrictions that may apply to particular information within the Sites. Any rights not expressly granted herein are reserved.

For more information please visit: Copyright and Usage.

Silver rose to 38.44 USD/t.oz on August 7, 2025, up 1.58% from the previous day. Over the past month, Silver's price has risen 4.60%, and is up 39.58% compared to the same time last year, 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 August of 2025.

Index Time Series for Gold Bullion Securities Limited - Gold Bullion Securities. The frequency of the observation is daily. Moving average series are also typically included. NA

Vietnam Gold Price Index: 1995=100 data was reported at 92.700 1995=100 in Jun 2001. This records an increase from the previous number of 91.900 1995=100 for May 2001. Vietnam Gold Price Index: 1995=100 data is updated monthly, averaging 94.350 1995=100 from Jan 1998 (Median) to Jun 2001, with 42 observations. The data reached an all-time high of 96.100 1995=100 in Mar 2000 and a record low of 86.800 1995=100 in Sep 1999. Vietnam Gold Price Index: 1995=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.T029:Table VN.I029: Gold Price Index. Rebased from 1995p to 2000p. Replacement Series ID: 44230601.