China Gold Intl Res stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

China Warehouse Stock: Shanghai Future Exchange: Gold data was reported at 17.238 Ton in 13 May 2025. This stayed constant from the previous number of 17.238 Ton for 12 May 2025. China Warehouse Stock: Shanghai Future Exchange: Gold data is updated daily, averaging 1.656 Ton from Oct 2008 (Median) to 13 May 2025, with 4034 observations. The data reached an all-time high of 17.238 Ton in 13 May 2025 and a record low of 0.015 Ton in 13 Dec 2010. China Warehouse Stock: Shanghai Future Exchange: Gold 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.

China Gold Intl Res reported CAD4.75B in Market Capitalization this July of 2025, considering the latest stock price and the number of outstanding shares.Data for China Gold Intl Res | CGG - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last July in 2025.

China Gold Intl Res reported 290.4M in Stock for its fiscal quarter ending in December of 2024. Data for China Gold Intl Res | CGG - Stock including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Gold Reserves in China increased to 2292.31 Tonnes in the first quarter of 2025 from 2279.56 Tonnes in the fourth quarter of 2024. This dataset provides - China Gold Reserves - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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.

CGG:TSX China Gold International Resources Corp. Ltd. Stock Forecast

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

Gold prices have fallen sharply as global stock markets rally and the US-China trade war shows signs of easing, reducing the demand for gold as a safe haven.

China Gold Intl Res reported $0.17 in EPS Earnings Per Share for its fiscal quarter ending in December of 2024. Data for China Gold Intl Res | CGG - EPS Earnings Per Share including historical, tables and charts were last updated by Trading Economics this last July in 2025.

China Gold Intl Res Stock - Diese Werte, historische Daten, Prognosen, Statistiken, Diagramme und ökonomische Kalender - Jun 2025.Data for China Gold Intl Res | Stock including historical, tables and charts were last updated by Trading Economics this last June in 2025.

This table presents the variance decompositions computed from a six-variable VAR for market i and CSI300 market. All variables are adjusted for deterministic time series variations. Illiquidity is measured using the Amihud measure for each stock and is averaged across stocks for each market. We choose the number of lags based on the SC and HQ criteria. The sample runs from January 1, 2010 to March 22, 2021.

This statistic presents the gold reserves of largest gold holding countries worldwide in 2024. At that time, the central bank of the United States held approximately ******* metric tons of gold. Gold reserves — additional information The United States has the largest gold reserve, with more than ***** metric tons of gold. This was more than twice the gold reserves of Germany and more than three times the gold reserves of Italy and France. China ranked fifth for the amount of gold it has on reserve, but more gold is being mined in China than any other country in the world. Australia, on the other hand, is home to the largest gold mine reserves in addition to being the second-largest producer of gold, after China. While gold no longer serves as an object of exchange and as a confirmation value, gold remains an investment asset for governments, and it could provide a safeguard against inflation or recession. The average price of gold reached a record in 2024, amounting to ******** U.S. dollars for one troy ounce.

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.

CHINA NONFERROUS GOLD LIMITED Forecast & Analysis

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 table presents the correlation among illiquidity series and volatility series for all financial markets. The sample runs from January 1, 2010 to March 22, 2021.

China Gold Intl Res reported $2.94B in Assets for its fiscal quarter ending in December of 2024. Data for China Gold Intl Res | CGG - Assets including historical, tables and charts were last updated by Trading Economics this last July in 2025.

This table presents the mean, standard deviation (SD) for the illiquidity and volatility of each commodity market as well as the stock market. Illiquidity is measured using the Amihud measure for each market. The sample runs from January 1, 2010 to March 22, 2021.

China Gold Intl Res reported $16.56M in Selling and Administration Expenses for its fiscal quarter ending in December of 2024. Data for China Gold Intl Res | CGG - Selling And Administration Expenses including historical, tables and charts were last updated by Trading Economics this last July in 2025.

The table presents the individual unit root test results for the illiquidity and volatility of each market. Illiquidity is measured using the Amihud measure for each financial market. The sample runs from January 1, 2010 to March 22, 2021.

The table presents the correlation matrix of the time-series of volatility. The sample runs from January 1, 2010 to March 22, 2021.

In 2025, the price of platinum is forecast to hover around 1,150 U.S. dollars per troy ounce. Meanwhile, the cost of per troy ounce of gold is expected to amount to 1,700 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 8,100 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 five 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 23.5 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 1,663 U.S. dollars per ounce, making it the most expensive precious metal in 2023.

China Gold Intl Res reported $198.35M in Operating Expenses for its fiscal quarter ending in December of 2024. Data for China Gold Intl Res | CGG - Operating Expenses including historical, tables and charts were last updated by Trading Economics this last July in 2025.