Steel rose to 3,117 CNY/T on December 2, 2025, up 0.23% from the previous day. Over the past month, Steel's price has risen 1.30%, but it is still 7.09% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Steel - values, historical data, forecasts and news - updated on December of 2025.

HRC Steel fell to 891.06 USD/T on December 2, 2025, down 0.88% from the previous day. Over the past month, HRC Steel's price has risen 5.08%, and is up 29.14% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for HRC Steel.

Tick (Bids | Asks | Trades | Settle) sample data for Hot Rolled Coil Steel HRC timestamped in Chicago time

China Warehouse Stock: Shanghai Futures Exchange: Stainless Steel data was reported at 833.000 Ton in 08 May 2020. This stayed constant from the previous number of 833.000 Ton for 07 May 2020. China Warehouse Stock: Shanghai Futures Exchange: Stainless Steel data is updated daily, averaging 833.000 Ton from Jan 2020 (Median) to 08 May 2020, with 77 observations. The data reached an all-time high of 2,137.000 Ton in 24 Feb 2020 and a record low of 124.000 Ton in 17 Jan 2020. China Warehouse Stock: Shanghai Futures Exchange: Stainless Steel 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: Warehouse Stock.

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.

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.

Gerdau's (GGB) Future: A Steel Of A Deal?

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 size of the Stainless Steel Stock Pots market was valued at USD 2190 million in 2023 and is projected to reach USD 2567.87 million by 2032, with an expected CAGR of 2.3% during the forecast period.

LME Index rose to 4,700 Index Points on October 29, 2025, up 0.79% from the previous day. Over the past month, LME Index's price has risen 7.33%, and is up 13.22% compared to the same time last year, 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 December 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.

NeoMetal: A Metal of the Future? (NMT)

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

Iron Ore rose to 106.94 USD/T on December 1, 2025, up 2.00% from the previous day. Over the past month, Iron Ore's price has risen 1.04%, and is up 1.54% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Iron Ore - values, historical data, forecasts and news - updated on December of 2025.

仓单库存:上海期货交易所:不锈钢在05-08-2020达833.000吨，相较于05-07-2020的833.000吨保持不变。仓单库存:上海期货交易所:不锈钢数据按日更新，01-09-2020至05-08-2020期间平均值为833.000吨，共77份观测结果。该数据的历史最高值出现于02-24-2020，达2,137.000吨，而历史最低值则出现于01-17-2020，为124.000吨。CEIC提供的仓单库存:上海期货交易所:不锈钢数据处于定期更新的状态，数据来源于上海期货交易所，数据归类于中国经济数据库的金融市场 – Table CN.ZB : 上海期货交易所 : 仓单库存。

库存:仓单:上海期货交易所:线材在05-13-2025达0.000吨，相较于05-12-2025的0.000吨保持不变。库存:仓单:上海期货交易所:线材数据按日更新，07-03-2009至05-13-2025期间平均值为0.000吨，共3851份观测结果。该数据的历史最高值出现于05-17-2010，达45,834.000吨，而历史最低值则出现于05-13-2025，为0.000吨。CEIC提供的库存:仓单:上海期货交易所:线材数据处于定期更新的状态，数据来源于上海期货交易所，数据归类于中国经济数据库的金融市场 – Table CN.ZB: Shanghai Futures Exchange: Commodity Futures: Stock。

库存:仓单:上海期货交易所:螺纹钢在12-02-2025达44,141.000吨，相较于12-01-2025的48,275.000吨有所下降。库存:仓单:上海期货交易所:螺纹钢数据按日更新，07-03-2009至12-02-2025期间平均值为294.000吨，共3989份观测结果。该数据的历史最高值出现于09-30-2025，达285,846.000吨，而历史最低值则出现于06-20-2023，为0.000吨。CEIC提供的库存:仓单:上海期货交易所:螺纹钢数据处于定期更新的状态，数据来源于上海期货交易所，数据归类于中国经济数据库的金融市场 – Table CN.ZB: Shanghai Futures Exchange: Commodity Futures: Stock。

The rapid urbanization in China since the 1970s has led to an exponential growth of metal stocks (MS) in use in cities. A retrospect on the quantity, quality, and patterns of these MS is a prerequisite for projecting future metal demand, identifying urban mining potentials of metals, and informing sustainable urbanization strategies. Here, we deployed a bottom-up stock accounting method to estimate stocks of iron, copper, and aluminum embodied in 51 categories of products and infrastructure across 10 Chinese megacities from 1980 to 2016. We found that the MS in Chinese megacities had reached a level of 2.6–6.3 t/cap (on average 3.7 t/cap for iron, 58 kg/cap for copper, and 151 kg/cap for aluminum) in 2016, which still remained behind the level of western cities or potential saturation level on the country level (e.g., approximately 13 t/cap for iron). Economic development was identified as the most powerful driver for MS growth based on an IPAT decomposition analysis, indicating further increase in MS as China’s urbanization and economic growth continues in the next decades. The latecomer cities should therefore explore a wide range of strategies, from urban planning to economy structure to regulations, for a transition toward more “metal-efficient” urbanization pathways.

Aluminum fell to 2,884.05 USD/T on December 2, 2025, down 0.29% from the previous day. Over the past month, Aluminum's price has fallen 0.99%, but it is still 10.42% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Aluminum - values, historical data, forecasts and news - updated on December of 2025.

Coal fell to 108.35 USD/T on December 1, 2025, down 1.86% from the previous day. Over the past month, Coal's price has fallen 1.14%, and is down 20.33% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Coal - values, historical data, forecasts and news - updated on December of 2025.

Lumber fell to 537 USD/1000 board feet on December 1, 2025, down 1.29% from the previous day. Over the past month, Lumber's price has fallen 1.47%, and is down 9.54% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Lumber - values, historical data, forecasts and news - updated on December of 2025.

Copper rose to 5.19 USD/Lbs on December 2, 2025, up 0.35% from the previous day. Over the past month, Copper's price has risen 3.22%, and is up 25.36% compared to the same time last year, 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 December of 2025.

Nickel fell to 14,879.88 USD/T on December 3, 2025, down 0.20% from the previous day. Over the past month, Nickel's price has fallen 1.20%, and is down 7.47% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Nickel - values, historical data, forecasts and news - updated on December of 2025.

Tin fell to 39,136 USD/T on December 1, 2025, down 0.06% from the previous day. Over the past month, Tin's price has risen 8.57%, and is up 36.97% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Tin - values, historical data, forecasts and news - updated on December of 2025.