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Dataset of historical annual silver prices from 1970 to 2022, including significant events and acts that impacted silver prices.
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Silver fell to 57.28 USD/t.oz on December 2, 2025, down 1.22% from the previous day. Over the past month, Silver's price has risen 19.11%, and is up 84.81% 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 December of 2025.
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Stay informed with real-time charts of international precious metal prices. Monitor spot prices for Silver in USD, GBP, and EUR. Access live updates here >>
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Gold fell to 4,199.97 USD/t.oz on December 2, 2025, down 0.75% from the previous day. Over the past month, Gold's price has risen 4.93%, and is up 58.92% 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 December of 2025.
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Yearly prices of the two infamous Ornamental Metals
4 Columns namely Year,Gold Price, Silver Price,Ratio of Gold and Silver prices.
Prices of Gold and Silver in years 1791 to 2020. A column for Gold/Silver is also provided. The prices are in New York Market Price. U.S. dollars per fine ounce
For data : www.measuringworth.com/datasets/gold/result.php For correction and validation : www.finfacts.ie/Private/curency/goldmarketprice.htm , https://sdbullion.com/silver-price-history
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Gold Prices - Historical chart and current data through 2025.
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TwitterGold and silver prices increased over the course of 2021, but these did not grow as fast as the prices of iridium and, especially, rhodium. According to a comparison of price indices, the price for rhodium - a precious metal similar to platinum and used especially in catalytic converters of cars - was ten times higher in April 2021 than it was in January 2019. The price hike for rhodium was apparently caused by coronavirus-related lockdowns implemented in South Africa, where mining companies had to close for several weeks.
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Hong Kong Local Gold Prices data was reported at 11,422.000 HKD/Tael in Nov 2018. This records an increase from the previous number of 11,403.000 HKD/Tael for Oct 2018. Hong Kong Local Gold Prices data is updated monthly, averaging 3,611.000 HKD/Tael from Jan 1981 (Median) to Nov 2018, with 455 observations. The data reached an all-time high of 17,028.000 HKD/Tael in Aug 2011 and a record low of 2,213.000 HKD/Tael in Jun 1982. Hong Kong Local Gold Prices data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR – Table HK.P003: Gold and Silver Prices.
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TwitterThe price of gold per troy ounce increased considerably between 1990 and 2025, despite some fluctuations. A troy ounce is the international common unit of weight used for precious metals and is approximately **** grams. At the end of 2024, a troy ounce of gold cost ******* U.S. dollars. As of * June 2025, it increased considerably to ******** U.S. dollars. Price of – additional information In 2000, the price of gold was at its lowest since 1990, with a troy ounce of gold costing ***** U.S. dollars in that year. Since then, gold prices have been rising and after the economic crisis of 2008, the price of gold rose at higher rates than ever before as the market began to see gold as an increasingly good investment. History has shown, gold is seen as a good investment in times of uncertainty because it can or is thought to function as a good store of value against a declining currency as well as providing protection against inflation. However, unlike other commodities, once gold is mined it does not get used up like other commodities (for example, such as gasoline). So while gold may be a good investment at times, the supply demand argument does not apply to gold. Nonetheless, the demand for gold has been mostly consistent.
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The dataset shows average price in domestic and foreign markets of gold and silver
Note: The data sources are: 1. Gold and Silver Prices in Mumbai: Business Standard, Business Line, or The Economic Times (Mumbai) , IBJA Website. 2. Gold Price in London: LBMA. 3. Silver Price in New York:Thomson Reuters.
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Author: Vineet Kumar Mittal Version: 1.0 Date: November 2025 DOI: https://doi.org/10.5281/zenodo.17537028
This repository contains the full dataset and visual analytics used in the study: "Gold–Silver Pair Trading: Mean Reversion Strategy Using Machine Learning."
It includes: - Historical gold and silver futures data (raw) - Processed dataset with spreads, ratios, and Z-scores - Key analysis charts (hedge ratio, spread, equity curve, etc.) - Reproducibility and licensing information
File: gold_silver_live_panel.csv
Description:
Processed data containing gold/silver prices, ratio, spread, rolling statistics, and Z-scores used for the study's analysis and backtesting.
Column Definitions:
See below for detailed description of each field included in gold_silver_live_panel.csv.
Files:
- Gold Futures Historical Data_2015_2025.csv
- Silver Futures Historical Data_2015_2025.csv
Description:
Raw daily closing prices used to compute the ratio, spread, and other derived features.
Data sourced from Investing.com (continuous Gold and Silver Futures contracts).
Please use below DOI to see all the figures and data.
If you use this dataset, please cite:
Mittal, V. K. (2025). Gold Silver Pair Trading - Mean Reversion Strategy Using Machine Learning (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17537028
Creative Commons Attribution 4.0 International (CC BY 4.0)
You are free to use, distribute, and build upon this dataset for academic and non-commercial research purposes, provided proper attribution is given.
For queries, collaborations, or extended analysis: Vineet Kumar Mittal
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Dataset of historical annual gold prices from 1970 to 2024, including significant events and acts that impacted gold prices.
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The dataset contains year- and month-wise compiled data on the average prices of Gold (Standard) and Silver at Mumbai in India
Note: Standard Gold means Gold having fineness 995 parts per thousand (%) and above
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This dataset offers detailed, up-to-date information on precious metals futures. Futures are financial contracts obligating the buyer to purchase, and the seller to sell, a particular precious metal (such as gold, silver, platinum, etc.) at a predetermined future date and price.
Use Cases: 1. Trend Analysis: Examine patterns and price movements to predict future market behaviors. 2. Academic Research: Study the historical behavior and impact of global events on metal prices. 3. Trading Strategies: Design and validate trading techniques based on precious metals futures. 4. Risk Management: Use the data for hedging decisions and risk management for businesses involved in mining or trading precious metals.
Credits Dataset Image: Photo by Zlaťáky.cz: https://www.pexels.com/photo/close-up-shot-of-gold-bars-and-coins-8442334/
Column Descriptions: 1. Date: The date the data was recorded. Format YYYY-MM-DD. 2. Open: Market opening price. 3. High: Highest price during the trading day. 4. Low: Lowest price during the trading day. 5. Close: Market closing price. 6. Volume: Number of contracts traded during the day. 7. Ticker: Market quotation symbol for the future. 8. Commodity: Name of the precious metal the future refers to.
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Hong Kong Local Silver Prices data was reported at 1,131.000 USD/10 oz in Oct 2018. This records an increase from the previous number of 1,117.000 USD/10 oz for Sep 2018. Hong Kong Local Silver Prices data is updated monthly, averaging 500.000 USD/10 oz from Jan 1981 (Median) to Oct 2018, with 454 observations. The data reached an all-time high of 3,761.000 USD/10 oz in Apr 2011 and a record low of 277.000 USD/10 oz in Feb 1993. Hong Kong Local Silver Prices data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR – Table HK.P003: Gold and Silver Prices.
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
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TwitterPermutable AI’s Silver Intelligence dataset (XAG) provides deep insights into silver’s dual role as both a precious and industrial metal. The system captures industrial demand drivers such as solar panels, EVs, and 5G technology, alongside monetary policy and geopolitical influences. With story signal analysis, the dataset identifies new narratives and evolving sentiment that impact silver prices. Historical datasets and the Co-Pilot API enable systematic traders and analysts to model silver’s performance across macroeconomic cycles.
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The U.S. silver market rose sharply to $7.5B in 2024, increasing by 6.2% against the previous year. Over the period under review, consumption showed a relatively flat trend pattern. Over the period under review, the market reached the peak level at $7.5B in 2012; afterwards, it flattened through to 2024.
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This dataset contains daily historical data of major financial instruments and indexes from January 1, 2015, to August 15, 2025 . It includes the following columns:
SPX – S&P 500 Index daily closing prices.
GLD – SPDR Gold Shares ETF daily adjusted closing prices.
USO – United States Oil Fund ETF daily adjusted closing prices.
SLV – iShares Silver Trust ETF daily adjusted closing prices.
EUR/USD – Daily Euro to US Dollar exchange rate.
The data was collected from Yahoo Finance using the yfinance Python library. The dataset is intended for research, analysis, and educational purposes.
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After two years of decline, the global silver market increased by 9.2% to $62.4B in 2024. In general, consumption, however, saw a relatively flat trend pattern. As a result, consumption reached the peak level of $65.1B. From 2022 to 2024, the growth of the global market remained at a somewhat lower figure.
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Dataset of historical annual silver prices from 1970 to 2022, including significant events and acts that impacted silver prices.