Steel fell to 3,086 CNY/T on July 11, 2025, down 0.61% from the previous day. Over the past month, Steel's price has risen 5.22%, but it is still 6.46% 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 July of 2025.

HRC Steel fell to 876.95 USD/T on July 11, 2025, down 0.57% from the previous day. Over the past month, HRC Steel's price has risen 1.73%, and is up 31.87% 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.

Global Metal Price Index: 33 years of historical data from 1992 to 2025.

In the fourth quarter of 2023, the price of the flat steel in the USA reached 3479 USD/MT by December. Similarly, in China, the flat steel prices hit 1858 USD/MT in the same month. The Germany also saw flat steel prices reaching 3125 USD/MT during Q4 2023.

Explore IMARC’s newly published report, titled “Flat Steel Pricing Report 2024: Price Trend, Chart, Market Analysis, News, Demand, Historical and Forecast Data,” offers an in-depth analysis of flat steel pricing, covering an analysis of global and regional market trends and the critical factors driving these price movements.

This table contains 269 series, with data for years 1956 - 1990 (not all combinations necessarily have data for all years), and was last released on 2000-02-18. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Commodities (269 items: Primary metal products; Iron and steel products; Primary steel products; Ferro-alloys ...).

Metal and Steel Price: Delhi: Cold Rolled Coils 1.00 mm data was reported at 67,850.000 INR/Metric Ton in Apr 2025. This records an increase from the previous number of 66,080.000 INR/Metric Ton for Mar 2025. Metal and Steel Price: Delhi: Cold Rolled Coils 1.00 mm data is updated monthly, averaging 48,690.000 INR/Metric Ton from Aug 2003 (Median) to Apr 2025, with 257 observations. The data reached an all-time high of 94,990.000 INR/Metric Ton in Apr 2022 and a record low of 24,300.000 INR/Metric Ton in Oct 2003. Metal and Steel Price: Delhi: Cold Rolled Coils 1.00 mm data remains active status in CEIC and is reported by Joint Plant Committee. The data is categorized under India Premium Database’s Metal and Steel Sector – Table IN.WAC008: Metal and Steel Retail Prices: New Delhi: Monthly.

Iron Ore rose to 96.76 USD/T on July 14, 2025, up 0.05% from the previous day. Over the past month, Iron Ore's price has risen 1.61%, but it is still 11.77% lower than a year ago, 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 July of 2025.

📈 Daily Historical Stock Price Data for China Steel Corporation (2005–2025)

A clean, ready-to-use dataset containing daily stock prices for China Steel Corporation from 2005-09-29 to 2025-05-28. This dataset is ideal for use in financial analysis, algorithmic trading, machine learning, and academic research.

  🗂️ Dataset Overview

Company: China Steel Corporation Ticker Symbol: 2002A.TW Date Range: 2005-09-29 to 2025-05-28 Frequency: Daily Total Records: 4824 rows (one… See the full description on the dataset page: https://huggingface.co/datasets/khaledxbenali/daily-historical-stock-price-data-for-china-steel-corporation-20052025.

The dataset focuses on steel corrosion data within cementitious materials. It encompasses 46 distinct mortar mixtures embedded with steel bars, with 30 samples undergoing carbonation. Corrosion data were obtained through testing all samples at six relative humidity (RH) levels. All measurements were conducted in a laboratory setting and are stored in spreadsheet format (.xlsx). The dataset includes mixture parameters, material properties, environmental parameters, and electrochemical parameters. This comprehensive dataset offers valuable corrosion data suitable for training machine learning models to predict steel corrosion across various corrosion-related variables.

Get the latest insights on price movement and trend analysis of Stainless Steel Plate in different regions across the world (Asia, Europe, North America, Latin America, and the Middle East Africa).

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

Gain leading price, inventory, index and production data on the Chinese steel market with LSEG's Steelhome dataset.

This dataset shows the domestic price for billet, bar and steel wire rod (SWR) (primary products from the steel making process)

Metal and Steel Price: Delhi: Cold Rolled Coils 0.63 mm data was reported at 68,640.000 INR/Metric Ton in Apr 2025. This records an increase from the previous number of 67,460.000 INR/Metric Ton for Mar 2025. Metal and Steel Price: Delhi: Cold Rolled Coils 0.63 mm data is updated monthly, averaging 48,792.000 INR/Metric Ton from Aug 2003 (Median) to Apr 2025, with 257 observations. The data reached an all-time high of 96,760.000 INR/Metric Ton in Apr 2022 and a record low of 25,300.000 INR/Metric Ton in Oct 2003. Metal and Steel Price: Delhi: Cold Rolled Coils 0.63 mm data remains active status in CEIC and is reported by Joint Plant Committee. The data is categorized under India Premium Database’s Metal and Steel Sector – Table IN.WAC008: Metal and Steel Retail Prices: New Delhi: Monthly.

This dataset is associated with the PhD thesis "Intelligent prediction of steel corrosion in cementitious materials via machine learning", which focuses on the development of data-driven and physics-informed machine learning models for predicting the corrosion behavior of steel in cementitious environments. The dataset is structured according to the thesis chapters (Chapter 3 to Chapter 7), with each part containing the original experimental data and relevant code used in the corresponding analyses.Chapter 3 contains laboratory corrosion data of steel under carbonation conditions. The dataset includes 16 variables and 180 groups, along with code implementing relevant regression algorithms.Chapter 4 contains laboratory corrosion data of steel under chloride ingress conditions, comprising 15 variables and 95 groups. It also includes literature-sourced corrosion data with 5 variables and 81 groups. The folder provides code for both regression and transfer learning models.Chapter 5 provides data for corrosion probability prediction, including 4 variables and 535 groups. It also contains code for probabilistic classification and corrosion mapping.Chapter 6 includes corrosion data of steel under drying-wetting cycling conditions, with 10 variables and 284 groups. The folder also contains code for regression analysis.Chapter 7 provides code related to symbolic learning for interpretable corrosion modeling, based on the data compiled from previous chapters.

During the fourth quarter of 2024, the stainless-steel round bar prices in the United States reached 6350 USD/MT in December. The market saw price declines, primarily driven by weak demand amid economic uncertainties. While supply levels remained stable, manufacturing and market availability were not enough to counterbalance the lack of purchasing activity. Seasonality also influenced prices, and logistical disruptions further hindered the market’s recovery.

Explore IMARC’s newly published report, titled “Stainless Steel Round Bar Prices, Trend, Chart, Demand, Market Analysis, News, Historical and Forecast Data Report 2025 Edition,” offers an in-depth analysis of stainless steel round bar pricing, covering an analysis of global and regional market trends and the critical factors driving these price movements.

📈 Daily Historical Stock Price Data for Algoma Steel Group Inc. (2021–2025)

A clean, ready-to-use dataset containing daily stock prices for Algoma Steel Group Inc. from 2021-03-04 to 2025-05-28. This dataset is ideal for use in financial analysis, algorithmic trading, machine learning, and academic research.

  🗂️ Dataset Overview

Company: Algoma Steel Group Inc. Ticker Symbol: ASTL Date Range: 2021-03-04 to 2025-05-28 Frequency: Daily Total Records: 1064 rows (one per… See the full description on the dataset page: https://huggingface.co/datasets/khaledxbenali/daily-historical-stock-price-data-for-algoma-steel-group-inc-20212025.

Aluminum fell to 2,593.65 USD/T on July 15, 2025, down 0.10% from the previous day. Over the past month, Aluminum's price has risen 2.99%, and is up 5.37% compared to the same time last year, 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 July of 2025.

The partner company’s historical data could be utilized in developing a data-driven prediction model with project division details as its inputs and project division labor-hours as the desired output. The BIM models contain 42 design features and 1559 records, each record denoting a division of fabrication. The BIM design features are listed in Table 1. Labor-hours spent on each division were extracted from job costing databases serving as the output parameter in the regression model. Although the variables in Table 1 are all considered related, there are certain inter-correlations between them and some variables can be explained by others. For instance, material length and weight are highly correlated; by knowing one, the other can be deduced. Therefore, a variable selection technique is instrumental in removing these inter-correlations in an analytical manner. It is noteworthy that the dataset was linearly scaled prior to performing analyses in order not to reveal sensitive information of the partner company without distorting patterns and relationships inherent in the data.

Legacy product - no abstract available