Gold fell to 4,023.41 USD/t.oz on October 27, 2025, down 2.15% from the previous day. Over the past month, Gold's price has risen 4.96%, and is up 46.60% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gold - values, historical data, forecasts and news - updated on October of 2025.

Dataset Card for Sentiment Analysis of Commodity News (Gold)

This is a news dataset for the commodity market which has been manually annotated for 10,000+ news headlines across multiple dimensions into various classes. The dataset has been sampled from a period of 20+ years (2000-2021). The dataset was curated by Ankur Sinha and Tanmay Khandait and is detailed in their paper "Impact of News on the Commodity Market: Dataset and Results." It is currently published by the authors on… See the full description on the dataset page: https://huggingface.co/datasets/SaguaroCapital/sentiment-analysis-in-commodity-market-gold.

As of the end of April 2024, boerse.de Gold was the best-performing gold exchange-traded commodity (ETC) worldwide. EUWAX Gold followed closely behind in second place, providing an annual return of ***** percent by the month of April.

Analysis of ‘Sentiment Analysis of Commodity News (Gold)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/ankurzing/sentiment-analysis-in-commodity-market-gold on 12 November 2021.

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

Context

This is a news dataset for the commodity market where we have manually annotated 11,412 news headlines across multiple dimensions into various classes. The dataset has been sampled from a period of 20+ years (2000-2021).

Content

The dataset has been collected from various news sources and annotated by three human annotators who were subject experts. Each news headline was evaluated on various dimensions, for instance - if a headline is a price related news then what is the direction of price movements it is talking about; whether the news headline is talking about the past or future; whether the news item is talking about asset comparison; etc.

Acknowledgements

Sinha, Ankur, and Tanmay Khandait. "Impact of News on the Commodity Market: Dataset and Results." In Future of Information and Communication Conference, pp. 589-601. Springer, Cham, 2021.

https://arxiv.org/abs/2009.04202 Sinha, Ankur, and Tanmay Khandait. "Impact of News on the Commodity Market: Dataset and Results." arXiv preprint arXiv:2009.04202 (2020)

We would like to acknowledge the financial support provided by the India Gold Policy Centre (IGPC).

Inspiration

Commodity prices are known to be quite volatile. Machine learning models that understand the commodity news well, will be able to provide an additional input to the short-term and long-term price forecasting models. The dataset will also be useful in creating news-based indicators for commodities.

Apart from researchers and practitioners working in the area of news analytics for commodities, the dataset will also be useful for researchers looking to evaluate their models on classification problems in the context of text-analytics. Some of the classes in the dataset are highly imbalanced and may pose challenges to the machine learning algorithms.

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

China Commodity Trading Market over 100 M Yuan: Number of Booth by Category: Gold, Silver and Jewellery data was reported at 27,519.000 Unit in 2023. This records an increase from the previous number of 25,194.000 Unit for 2022. China Commodity Trading Market over 100 M Yuan: Number of Booth by Category: Gold, Silver and Jewellery data is updated yearly, averaging 24,582.500 Unit from Dec 2008 (Median) to 2023, with 16 observations. The data reached an all-time high of 33,707.000 Unit in 2019 and a record low of 9,428.000 Unit in 2008. China Commodity Trading Market over 100 M Yuan: Number of Booth by Category: Gold, Silver and Jewellery data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Wholesale, Retail and Catering Sector – Table CN.RJA: Commodity Trading Market over 100 Million Yuan: Number of Booth by Category.

China Commodity Trading Market over 100 M Yuan: Number of Market: Gold, Jeweller, Jade Market data was reported at 17.000 Unit in 2023. This records a decrease from the previous number of 19.000 Unit for 2022. China Commodity Trading Market over 100 M Yuan: Number of Market: Gold, Jeweller, Jade Market data is updated yearly, averaging 22.500 Unit from Dec 2008 (Median) to 2023, with 16 observations. The data reached an all-time high of 28.000 Unit in 2012 and a record low of 15.000 Unit in 2009. China Commodity Trading Market over 100 M Yuan: Number of Market: Gold, Jeweller, Jade Market data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Wholesale, Retail and Catering Sector – Table CN.RJA: Commodity Trading Market over 100 Million Yuan: Number of Market.

Gold prices in , September, 2025 For that commodity indicator, we provide data from January 1960 to September 2025. The average value during that period was 610.94 USD per troy ounce with a minimum of 34.94 USD per troy ounce in January 1970 and a maximum of 3667.68 USD per troy ounce in September 2025. | TheGlobalEconomy.com

Historical AI model predictions and analysis for Gold (spot) stock across multiple timeframes and confidence levels

China Commodity Trading Market over 100 M Yuan: Turnover: Retail: Gold, Jeweller, Jade Market data was reported at 2.965 RMB bn in 2023. This records a decrease from the previous number of 3.631 RMB bn for 2022. China Commodity Trading Market over 100 M Yuan: Turnover: Retail: Gold, Jeweller, Jade Market data is updated yearly, averaging 4.601 RMB bn from Dec 2008 (Median) to 2023, with 16 observations. The data reached an all-time high of 7.689 RMB bn in 2019 and a record low of 1.717 RMB bn in 2009. China Commodity Trading Market over 100 M Yuan: Turnover: Retail: Gold, Jeweller, Jade Market data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Wholesale, Retail and Catering Sector – Table CN.RJA: Commodity Trading Market over 100 Million Yuan: Turnover: Retail.

The Gold – Sample Data dataset captures structured insights into how sentiment, macroeconomic drivers, and market events influence gold prices. Covering multiple themes such as monetary policy, institutional buying, consumer demand, and supply dynamics, the dataset provides a transparent view of narrative flows that act as leading indicators for price direction. For the period 10–17 May 2025, the dataset highlights: Bearish sentiment from U.S. dollar strength and rising mining output. Bullish sentiment from central bank reserve purchases, jewellery demand recovery, and safe-haven flows amid geopolitical tensions. Policy influence with the Federal Reserve’s rate decisions directly impacting gold’s relative attractiveness. Each entry records timestamped events, directional sentiment (up/down), topic classification, and narrative detail, allowing systematic traders and analysts to test correlations between sentiment shifts and subsequent gold price action. This data helps quants and commodity desks integrate structured sentiment into models, evaluate thematic drivers of gold volatility, and identify predictive signals ahead of market moves.

In 2024, the rate of return on gold was 26.62 percent, making gold the leading commodity based on return rate in that year. Natural resources, like any other investment, exhibit a wide range of fluctuations over time.

This dataset contains historical price data for seven essential metals traded on the Multi Commodity Exchange (MCX) India: Gold, Silver, Lead, Zinc, Copper, Nickel, and Aluminum. The data is meticulously collected to support prediction models, trend analysis, and statistical exploration of metal price movements.

The dataset includes: - Daily price data for 7 metals - Open price, high/low values, and closing prices - Data across multiple periods, useful for preliminary exploration, model training, and analysis

Description for each column in the dataset: 1. Date: The date on which the market data was recorded (format: DD-MM-YYYY). 2. Price: The closing price of Copper on the given date, reflecting the last traded price of the day. 3. Open: The opening price of Copper at the start of trading on the given date. 4. High: The highest price Copper reached during the trading day. 5. Low: The lowest price Copper traded at during the day. 6. Vol. (Volume): The total volume of Copper traded on the given day, typically in thousands (K). 7. Change %: The percentage change in the closing price from the previous trading day.

Silver fell to 47.51 USD/t.oz on October 27, 2025, down 2.22% from the previous day. Over the past month, Silver's price has risen 1.26%, and is up 40.95% 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 October of 2025.

View weekly updates and historical trends for COMEX Gold Combined Open Interest. Source: US Commodity Futures Trading Commission. Track economic data with…

View weekly updates and historical trends for COMEX Gold Futures Managed Money Short Positions. Source: US Commodity Futures Trading Commission. Track eco…

China Commodity Trading Market over 100 M Yuan: Turnover by Category: Gold, Silver and Jewellery data was reported at 121.097 RMB bn in 2023. This records a decrease from the previous number of 124.020 RMB bn for 2022. China Commodity Trading Market over 100 M Yuan: Turnover by Category: Gold, Silver and Jewellery data is updated yearly, averaging 71.802 RMB bn from Dec 2008 (Median) to 2023, with 16 observations. The data reached an all-time high of 124.020 RMB bn in 2022 and a record low of 23.587 RMB bn in 2008. China Commodity Trading Market over 100 M Yuan: Turnover by Category: Gold, Silver and Jewellery data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Wholesale, Retail and Catering Sector – Table CN.RJA: Commodity Trading Market over 100 Million Yuan: Turnover by Category.

In 2023, energy was the highest traded commodity on commodity exchanges of India, with a turnover of 104.21 trillion Indian rupees. Bullion was the second most traded commodity on the exchanges. Bullion includes gold or silver traded in the form of bars, coins and ingots.

Gunvor is expanding its precious metals division into physical bullion, capitalizing on a historic gold price rally and surging market volumes, by hiring key traders in major financial hubs.

View weekly updates and historical trends for COMEX Gold Futures Managed Money Short Positions WoW. Source: US Commodity Futures Trading Commission. Track…

The global precious metal trading platform market, valued at $3.863 billion in 2025, is projected to experience robust growth, driven by increasing investor interest in gold, silver, platinum, and palladium as safe haven assets and inflation hedges. The market's Compound Annual Growth Rate (CAGR) of 5.6% from 2019 to 2033 indicates a steady expansion, fueled by technological advancements such as improved online trading platforms, mobile accessibility, and the integration of AI-driven analytical tools. The rise of retail investors and the growing adoption of sophisticated trading strategies further contribute to market expansion. Increased regulatory scrutiny and cybersecurity concerns, however, pose potential restraints to growth. Market segmentation is likely dominated by platform types (e.g., web-based, mobile, desktop), trading styles (e.g., spot, futures), and investor demographics (e.g., retail, institutional). Key players like GAIN Global Markets, AxiTrader, LMAX Global, IG Group, and CMC Markets are vying for market share through competitive pricing, advanced features, and strong customer support. Geographic distribution is expected to be influenced by economic conditions and investor sentiment in major regions like North America, Europe, and Asia-Pacific. The forecast period (2025-2033) will likely see increased competition and consolidation as companies strive to enhance their offerings and cater to the evolving needs of traders. The market's sustained growth relies on several factors. The volatility of traditional financial markets consistently pushes investors toward precious metals. The ongoing development of user-friendly platforms with advanced charting, analytics, and educational resources further broadens the appeal to both experienced and novice traders. Moreover, the expansion of the market into emerging economies presents significant opportunities for growth. However, maintaining trust through robust security measures and complying with evolving regulatory frameworks are critical for long-term success. The presence of established players along with a growing number of smaller, niche platforms suggests a dynamic competitive landscape with continued innovation in technology and service offerings driving market expansion.