Key information about US Gold Reserves

• US Gold Reserves was reported at 11.041 USD bn in Jan 2025
• This stayed constant from the previous number of 11.041 USD bn for Dec 2024
• US Gold Reserves data is updated monthly, averaging 11.061 USD bn from Jan 1947 to Jan 2025, with 937 observations
• The data reached an all-time high of 24.771 USD bn in Aug 1949 and a record low of 9.662 USD bn in Apr 1972
• US Gold Reserves data remains active status in CEIC and is reported by CEIC Data
• The data is categorized under World Trend Plus’s Global Economic Monitor – Table: Gold Reserves: USD: Monthly

Gold rose to 3,354.76 USD/t.oz on July 11, 2025, up 0.92% from the previous day. Over the past month, Gold's price has fallen 0.92%, but it is still 39.14% 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 July of 2025.

United States - Import Price Index (End Use): Nonmonetary Gold was 128.60000 Index 2000=100 in May of 2025, according to the United States Federal Reserve. Historically, United States - Import Price Index (End Use): Nonmonetary Gold reached a record high of 157.20000 in September of 2005 and a record low of 9.50000 in September of 1999. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Import Price Index (End Use): Nonmonetary Gold - last updated from the United States Federal Reserve on July of 2025.

United States - Exports of gold, International Transactions Accounts was 37.88900 Bil. of $ in January of 2024, according to the United States Federal Reserve. Historically, United States - Exports of gold, International Transactions Accounts reached a record high of 40.74900 in January of 2022 and a record low of 0.00300 in January of 1969. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Exports of gold, International Transactions Accounts - last updated from the United States Federal Reserve on June 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.

Is the S&P GSCI Gold Index a Reliable Indicator of Gold's Value?

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 USA: Gold production in kilograms: The latest value from 2022 is 173000 kilograms, a decline from 187000 kilograms in 2021. In comparison, the world average is 35128 kilograms, based on data from 90 countries. Historically, the average for the USA from 2001 to 2022 is 235136 kilograms. The minimum value, 173000 kilograms, was reached in 2022 while the maximum of 335000 kilograms was recorded in 2001.

Key information about Slovakia Gold Production

• Slovakia Gold Production was reported at 399.000 kg in Dec 2022.
• This records an increase from the previous figure of 392.000 kg for Dec 2021.
• Slovakia Gold Production data is updated yearly, averaging 367.500 kg from Dec 1993 to 2022, with 30 observations.
• The data reached an all-time high of 603.000 kg in 2015 and a record low of 50.000 kg in 2003.
• Slovakia Gold Production data remains active status in CEIC and is reported by U.S. Geological Survey. The data is categorized under World Trend Plus’s Association: Metal and Mining Sector – Table WB.USGS.GOLD: Precious Metals: Gold: Production by Country or Locality.

Key information about Mexico Gold Production

• Mexico Gold Production was reported at 130,000.000 kg in Dec 2024.
• This records an increase from the previous figure of 127,000.000 kg for Dec 2023.
• Mexico Gold Production data is updated yearly, averaging 39,355.000 kg from Dec 1990 to 2024, with 35 observations.
• The data reached an all-time high of 134,758.000 kg in 2015 and a record low of 9,680.000 kg in 1990.
• Mexico Gold Production data remains active status in CEIC and is reported by U.S. Geological Survey. The data is categorized under World Trend Plus’s Association: Metal and Mining Sector – Table WB.USGS.GOLD: Precious Metals: Gold: Production by Country or Locality.

Key information about Argentina Gold Production

• Argentina Gold Production was reported at 43,000.000 kg in Dec 2022.
• This stayed constant from the previous figure of 43,000.000 kg for Dec 2021.
• Argentina Gold Production data is updated yearly, averaging 38,515.000 kg from Dec 1990 to 2022, with 33 observations.
• The data reached an all-time high of 63,138.000 kg in 2010 and a record low of 723.000 kg in 1996.
• Argentina Gold Production data remains active status in CEIC and is reported by U.S. Geological Survey. The data is categorized under World Trend Plus’s Association: Metal and Mining Sector – Table WB.USGS.GOLD: Precious Metals: Gold: Production by Country or Locality.

United States - Imports of Goods: Nonmonetary gold was 38217.00000 Mil. of $ in January of 2024, according to the United States Federal Reserve. Historically, United States - Imports of Goods: Nonmonetary gold reached a record high of 61665.00000 in January of 2020 and a record low of 2963.00000 in January of 2002. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Imports of Goods: Nonmonetary gold - last updated from the United States Federal Reserve on July of 2025.

Key information about Hungary Gold Production

• Hungary Gold Production was reported at 600.000 kg in Dec 1990.
• Hungary Gold Production data is updated yearly, averaging 600.000 kg from Dec 1990 to 1990, with 1 observations.
• The data reached an all-time high of 600.000 kg in 1990 and a record low of 600.000 kg in 1990.
• Hungary Gold Production data remains active status in CEIC and is reported by U.S. Geological Survey. The data is categorized under World Trend Plus’s Association: Metal and Mining Sector – Table WB.USGS.GOLD: Precious Metals: Gold: Production by Country or Locality.

United States - Exports of Goods: Nonmonetary gold was 37889.00000 Mil. of $ in January of 2024, according to the United States Federal Reserve. Historically, United States - Exports of Goods: Nonmonetary gold reached a record high of 40749.00000 in January of 2022 and a record low of 3370.00000 in January of 2002. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Exports of Goods: Nonmonetary gold - last updated from the United States Federal Reserve on July of 2025.

Kazakhstan: Gold production in kilograms: The latest value from 2022 is 115000 kilograms, an increase from 114843 kilograms in 2021. In comparison, the world average is 35128 kilograms, based on data from 90 countries. Historically, the average for Kazakhstan from 2001 to 2022 is 54435 kilograms. The minimum value, 18062 kilograms, was reached in 2005 while the maximum of 116964 kilograms was recorded in 2020.

Indicators of interest for the Wine sector over the Douro Valley using high resolution climate projections.

GDD (Growing Degree Days) - summation of daily differences between daily temperature averages and 10 for the period April-October

GST (Growing Season Temperature) - average of daily average temperatures for the period April-October

SprR (Spring Rain) - Precipitation accumulated between 21st April-to 21st June,

HarvR (Harvest Rain)-Precipitation accumulated between 21 August and 21 October

SU35 -number of days with temperature higher than 35°C for the period April-October,

WSDI (Warm Spell Duration Index) -days with at least 6 consecutive days when the daily temperature maximum exceeds its 90th percentile for the period April-October.

The results are based on an sub-ensemble of five RCMs from the EURO-CORDEX modelling experiment which have been statistically downscaled to 1km x1km horizontal resolution using the PTHRES gridded dataset as the reference dataset. More details can be found in Raül Marcos-Matamoros, (2018). Report on the methodology followed to implement the wine pilot services. Zenodo. https://doi.org/10.5281/zenodo.4543337

Datasets computed by National Observatory of Athens, in collaboration with SOGRAPE VINHOS S.A. in the framework of the European MED-GOLD project, funded from the European Union's Horizon 2020 Research and Innovation programme under Grant agreement No.776467

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.

Li-Cycle's (LICY) Ambitious Battery Gambit: A Gamble or Green Gold?

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

Tanzania: Gold production in kilograms: The latest value from 2022 is 56943 kilograms, a decline from 59638 kilograms in 2021. In comparison, the world average is 35128 kilograms, based on data from 90 countries. Historically, the average for Tanzania from 2001 to 2022 is 45137 kilograms. The minimum value, 30088 kilograms, was reached in 2001 while the maximum of 59638 kilograms was recorded in 2021.

Brazil: Gold production in kilograms: The latest value from 2022 is 61000 kilograms, an increase from 60669 kilograms in 2021. In comparison, the world average is 35128 kilograms, based on data from 90 countries. Historically, the average for Brazil from 2001 to 2022 is 63328 kilograms. The minimum value, 40416 kilograms, was reached in 2003 while the maximum of 89988 kilograms was recorded in 2019.

Greece: Gold production in kilograms: The latest value from 2022 is 3000 kilograms, a decline from 3315 kilograms in 2021. In comparison, the world average is 35128 kilograms, based on data from 90 countries. Historically, the average for Greece from 2008 to 2022 is 1262 kilograms. The minimum value, 109 kilograms, was reached in 2016 while the maximum of 3315 kilograms was recorded in 2021.

Thailand: Gold production in kilograms: The latest value from 2016 is 4293 kilograms, an increase from 3305 kilograms in 2015. In comparison, the world average is 35709 kilograms, based on data from 90 countries. Historically, the average for Thailand from 2001 to 2016 is 3786 kilograms. The minimum value, 320 kilograms, was reached in 2001 while the maximum of 5400 kilograms was recorded in 2009.

Gold Purity Tester Market Outlook

The global market size for gold purity testers was valued at $XX billion in 2023 and is expected to reach $XX billion by 2032, growing at a compound annual growth rate (CAGR) of X.X% during the forecast period. The market growth is primarily driven by the increasing demand for accurate and reliable gold purity testing methods in various sectors. Factors such as the rising consumption of gold in the jewelry industry, advancements in testing technologies, and the growing popularity of gold investments are contributing to the market expansion.

The demand for gold purity testers is significantly driven by the jewelry industry, where the need for precise gold quality verification is paramount. With the rising disposable incomes and changing consumer preferences towards high-quality and certified jewelry, the demand for advanced gold purity testing devices is on the rise. Jewelers are investing in sophisticated testing equipment to ensure the authenticity and purity of gold, thereby enhancing customer trust and satisfaction. Additionally, gold purity testing devices are becoming increasingly popular in pawn shops and gold trading, where accurate valuation is critical for business operations.

Technological advancements in gold purity testing methods are also fueling market growth. Innovations such as X-ray fluorescence (XRF) technology and electronic gold purity testers offer non-destructive, quick, and highly accurate results, making them preferred choices in the industry. The development of portable and user-friendly devices has further expanded the application of gold purity testers across various end-user segments. Moreover, the increasing awareness about gold purity standards and regulations is driving the adoption of advanced testing solutions.

The investment and financial sectors are also contributing to the growth of the gold purity tester market. With the rising trend in gold investments, both institutional and individual investors are focusing on the purity and authenticity of gold. Financial institutions and gold trading companies are adopting advanced purity testing methods to ensure the quality of their gold reserves, thereby boosting market demand. Additionally, the increasing gold recycling activities necessitate accurate purity testing to ascertain the value of recycled gold, further propelling market growth.

The concept of a Gold Target is becoming increasingly significant in the financial and investment sectors. As gold continues to be a preferred asset for hedging against inflation and economic uncertainties, setting a gold target helps investors strategize their portfolios effectively. A gold target refers to the anticipated price level or investment goal that investors aim to achieve within a specific timeframe. This target is influenced by various factors such as market trends, geopolitical events, and economic indicators. As gold purity testers ensure the authenticity and quality of gold assets, they play a crucial role in helping investors meet their gold targets by providing accurate and reliable testing results. The growing focus on achieving gold targets is further propelling the demand for advanced gold purity testing solutions in the market.

Regionally, Asia Pacific holds a significant share of the gold purity tester market, driven by high gold consumption in countries like India and China. The robust demand for gold jewelry, coupled with the rising number of pawn shops and gold trading activities, is boosting the market in this region. Additionally, Europe and North America are witnessing steady growth, supported by technological advancements and increased gold investments. The Middle East & Africa and Latin America are also emerging markets with potential growth opportunities, owing to rising gold mining activities and increasing consumer awareness about gold purity.

Product Type Analysis

The gold purity tester market can be segmented by product type into electronic gold purity testers, X-ray fluorescence (XRF) gold purity testers, fire assay gold purity testers, and others. Each product type has its unique features, advantages, and applications, catering to different industry requirements. Among these, electronic gold purity testers are gaining popularity due to their ease of use, portability, and cost-effectiveness. These devices provide rapid and non-destructive testing of gold, making them suitable for retail and small-scale applications. The growing demand for quick and reliable gol