Silver rose to 37.02 USD/t.oz on August 1, 2025, up 0.93% from the previous day. Over the past month, Silver's price has risen 1.25%, and is up 29.60% 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.

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.

Predicting Silver Prices with Machine Learning: Promising Approaches and Considerations

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

China Warehouse Stock: Shanghai Future Exchange: Silver data was reported at 932.184 Ton in 13 May 2025. This records an increase from the previous number of 924.953 Ton for 12 May 2025. China Warehouse Stock: Shanghai Future Exchange: Silver data is updated daily, averaging 1,318.760 Ton from Jul 2012 (Median) to 13 May 2025, with 3124 observations. The data reached an all-time high of 3,091.112 Ton in 12 Jan 2021 and a record low of 0.000 Ton in 18 Jul 2012. China Warehouse Stock: Shanghai Future Exchange: Silver data remains active status in CEIC and is reported by Shanghai Futures Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZB: Shanghai Futures Exchange: Commodity Futures: Stock.

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.

Philadelphia Gold and Silver Index: The Future of Precious Metals?

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

Explore how economic indicators, geopolitical stability, and industrial demand influence silver prices in the stock market and commodities trading. Learn about the impact of central banks' monetary policies and the role of silver in sectors like electronics and clean energy. Discover investment options like silver ETFs and mining stocks to diversify portfolios and manage market volatility.

Of the five largest publicly owned produces of silver, Swiss multinational commodity trading and mining company Glencore saw an increase in its share price over recent years. Between January 2018 and March 2024, the share price of Glencore saw its share price increase by nearly ***** percent. Conversely, rest of the top five companies saw their share price decline over this period.

In 2025, the price of platinum is forecast to hover around ***** U.S. dollars per troy ounce. Meanwhile, the cost of per troy ounce of gold is expected to amount to ***** U.S. dollars. Precious metals Precious metals are counted among the most valuable commodities worldwide. The most well known such metals are gold, silver and the platinum group metals. A precious metal can be used as an industrial commodity or as an investment. The major areas of application include the following sectors: technology, car-making, industrial manufacturing and jewelry making. Furthermore, gold and silver are used as coinage metals, and gold reserves are held by the central banks of many countries worldwide in order to store value or for use as a redemption medium. The idea behind this procedure is that gold reserves will help secure and stabilize the countries’ respective currencies. At ***** tons, the United States is the country with the most extensive stock of gold. It is kept in an underground vault at the New York Federal Reserve Bank. Russia, the United States, Canada, South Africa and China are the main producers of precious metals. Silver is the most abundant of the metals, followed by gold and palladium. Barrick Gold is the world’s largest gold mining company. The Toronto-based firm produced some **** million ounces of gold in 2020. The leading silver producers include Mexico-based Fresnillo, Poland’s KGHM Polska Miedž and the mining giant Glencore. Anglo Platinum and Impala are the key mining companies to produce platinum group metals. In 2023, Silver prices are expected to settle at around **** U.S. dollars per troy ounce. It is expected to remain the precious metal with the lowest value per ounce. The price of gold is forecast to drop to around ***** U.S. dollars per ounce, making it the most expensive precious metal in 2023.

The price of an ounce of silver increased sharply in 2021, rising around 17 percent from January 28 to February 1. The cause of this increase is attributed to retail investors mobilized via social media with the intention of causing losses to professional investors, similar to the rise in the stock price of video game retailer GameStop, and the stock price of cinema operator AMC several days beforehand. As of midnight July 18, 2023, the price of silver was trading at 24.9 U.S. dollars per troy ounce.

The US_Stock_Data.csv dataset offers a comprehensive view of the US stock market and related financial instruments, spanning from January 2, 2020, to February 2, 2024. This dataset includes 39 columns, covering a broad spectrum of financial data points such as prices and volumes of major stocks, indices, commodities, and cryptocurrencies. The data is presented in a structured CSV file format, making it easily accessible and usable for various financial analyses, market research, and predictive modeling. This dataset is ideal for anyone looking to gain insights into the trends and movements within the US financial markets during this period, including the impact of major global events.

Key Features and Data Structure

The dataset captures daily financial data across multiple assets, providing a well-rounded perspective of market dynamics. Key features include:

• Commodities: Prices and trading volumes for natural gas, crude oil, copper, platinum, silver, and gold.
• Cryptocurrencies: Prices and volumes for Bitcoin and Ethereum, including detailed 5-minute interval data for Bitcoin.
• Stock Market Indices: Data for major indices such as the S&P 500 and Nasdaq 100.
• Individual Stocks: Prices and volumes for major companies including Apple, Tesla, Microsoft, Google, Nvidia, Berkshire Hathaway, Netflix, Amazon, and Meta.

The dataset’s structure is designed for straightforward integration into various analytical tools and platforms. Each column is dedicated to a specific asset's daily price or volume, enabling users to perform a wide range of analyses, from simple trend observations to complex predictive models. The inclusion of intraday data for Bitcoin provides a detailed view of market movements.

Applications and Usability

This dataset is highly versatile and can be utilized for various financial research purposes:

• Market Analysis: Track the performance of key assets, compare volatility, and study correlations between different financial instruments.
• Risk Assessment: Analyze the impact of commodity price movements on related stock prices and evaluate market risks.
• Educational Use: Serve as a resource for teaching market trends, asset correlation, and the effects of global events on financial markets.

The dataset’s daily updates ensure that users have access to the most current data, which is crucial for real-time analysis and decision-making. Whether for academic research, market analysis, or financial modeling, the US_Stock_Data.csv dataset provides a valuable foundation for exploring the complexities of financial markets over the specified period.

Acknowledgements:

This dataset would not be possible without the contributions of Dhaval Patel, who initially curated the US stock market data spanning from 2020 to 2024. Full credit goes to Dhaval Patel for creating and maintaining the dataset. You can find the original dataset here: US Stock Market 2020 to 2024.

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 >>

LME Index fell to 4,124.80 Index Points on July 31, 2025, down 1.11% from the previous day. Over the past month, LME Index's price has fallen 2.70%, but it is still 6.44% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. LME Index - values, historical data, forecasts and news - updated on August of 2025.

United States US: Silver: Class A: Opening Stock data was reported at 23.000 Tonne th in 2024. This stayed constant from the previous number of 23.000 Tonne th for 2023. United States US: Silver: Class A: Opening Stock data is updated yearly, averaging 25.000 Tonne th from Dec 1996 (Median) to 2024, with 29 observations. The data reached an all-time high of 33.000 Tonne th in 2001 and a record low of 23.000 Tonne th in 2024. United States US: Silver: Class A: Opening Stock data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.ESG: Environmental: Mineral and Energy Resources: by Commodity: OECD Member: Annual. Class A refers to commercially recoverable resources; Class B refers to potentially commercially recoverable resources; Class C refers to non-commercial and other known deposits

Copper rose to 4.42 USD/Lbs on August 1, 2025, up 0.29% from the previous day. Over the past month, Copper's price has fallen 14.18%, but it is still 7.63% 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 August of 2025.

Canada Silver: Class A: Total Additions to Stock data was reported at 0.914 Tonne th in 2023. This records an increase from the previous number of 0.441 Tonne th for 2022. Canada Silver: Class A: Total Additions to Stock data is updated yearly, averaging 1.004 Tonne th from Dec 1978 (Median) to 2023, with 30 observations. The data reached an all-time high of 4.187 Tonne th in 1994 and a record low of 0.014 Tonne th in 2019. Canada Silver: Class A: Total Additions to Stock data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Canada – Table CA.OECD.ESG: Environmental: Mineral and Energy Resources: by Commodity: OECD Member: Annual. Class A refers to commercially recoverable resources; Class B refers to potentially commercially recoverable resources; Class C refers to non-commercial and other known deposits

Canada CA: Silver: Class A: Opening Stock data was reported at 4.865 Tonne th in 2023. This records an increase from the previous number of 4.714 Tonne th for 2022. Canada CA: Silver: Class A: Opening Stock data is updated yearly, averaging 14.643 Tonne th from Dec 1978 (Median) to 2023, with 46 observations. The data reached an all-time high of 33.804 Tonne th in 1981 and a record low of 3.626 Tonne th in 2017. Canada CA: Silver: Class A: Opening Stock data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Canada – Table CA.OECD.ESG: Environmental: Mineral and Energy Resources: by Commodity: OECD Member: Annual. Class A refers to commercially recoverable resources; Class B refers to potentially commercially recoverable resources; Class C refers to non-commercial and other known deposits

Discover all the exchange data, pricing and fundamentals, and research findings you'll need from the commodities metals market with LSEG's data options.

CN: Stock: Deliverable: Shanghai Futures Exchange: Woodpulp data was reported at 320,649.000 Ton in 09 May 2025. This records an increase from the previous number of 311,311.000 Ton for 30 Apr 2025. CN: Stock: Deliverable: Shanghai Futures Exchange: Woodpulp data is updated daily, averaging 273,703.000 Ton from Nov 2018 (Median) to 09 May 2025, with 319 observations. The data reached an all-time high of 536,854.000 Ton in 22 Apr 2022 and a record low of 0.000 Ton in 29 Mar 2019. CN: Stock: Deliverable: Shanghai Futures Exchange: Woodpulp data remains active status in CEIC and is reported by Shanghai Futures Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZB: Shanghai Futures Exchange: Commodity Futures: Stock.

CN: Stock: Deliverable: Shanghai Futures Exchange: Lead data was reported at 49,504.000 Ton in 09 May 2025. This records an increase from the previous number of 46,786.000 Ton for 30 Apr 2025. CN: Stock: Deliverable: Shanghai Futures Exchange: Lead data is updated daily, averaging 40,503.500 Ton from Dec 2014 (Median) to 09 May 2025, with 516 observations. The data reached an all-time high of 205,898.000 Ton in 17 Sep 2021 and a record low of 4,052.000 Ton in 29 Jan 2016. CN: Stock: Deliverable: Shanghai Futures Exchange: Lead data remains active status in CEIC and is reported by Shanghai Futures Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZB: Shanghai Futures Exchange: Commodity Futures: Stock.

Canada CA: Silver: Class A: Closing Stock data was reported at 5.473 Tonne th in 2023. This records an increase from the previous number of 4.865 Tonne th for 2022. Canada CA: Silver: Class A: Closing Stock data is updated yearly, averaging 13.919 Tonne th from Dec 1977 (Median) to 2023, with 47 observations. The data reached an all-time high of 33.804 Tonne th in 1980 and a record low of 3.626 Tonne th in 2016. Canada CA: Silver: Class A: Closing Stock data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Canada – Table CA.OECD.ESG: Environmental: Mineral and Energy Resources: by Commodity: OECD Member: Annual. Class A refers to commercially recoverable resources; Class B refers to potentially commercially recoverable resources; Class C refers to non-commercial and other known deposits

As of April 2024, WisdomTree Core Physical Gold was the leading gold back exchange-traded commodity (ETC) listed on the London stock exchange, providing a return of ** percent on euro investments annually. Invesco Physical Gold A followed closely in second place, providing a return of ***** percent on investments made in euros. What is an exchange-traded commodity? An exchange-traded commodity (ETC) is a commodity such as silver, wheat, oats, and gold traded on the stock exchange. Unlike exchange-traded funds (ETFs) which allows investment in a basket of securities, ETCs allow investment in a single commodity. Gold-backed ETCs aim to track the spot price of gold. This results in the price of the ETC moving up and down in correlation with the underlying gold price. The annual return rate The return on investment (ROI) is a way to measure the performance of an investment. The ROI is calculated by dividing the amount gained or lost from an investment by the original invested amount. This number is then represented as a percentage. Different gains and losses can be generated on foreign investments due to changes in the value of the security in foreign markets. If the local home currency of an investor is rising in value, this leads to lower returns on foreign investments. Similarly, a decreasing home currency will increase the returns on foreign investments. The difference in currency performance, inflation levels in the home market or abroad, and interest rates are all factors that can lead to differing ROI rates.