Provides the latest ferrous and nonferrous benchmarks and price assessments from both S&P Global Platts and The Steel Index (TSI). With access to end-of-day assessments, third party data and a rolling 45-day historic database from two of the leading metals price reporting agencies.
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S&P Global Commodity Insights is the leading independent provider of information, benchmark prices, and analytics for the energy and commodities markets.
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Explore how the Platts Iron Ore Index (IODEX) serves as a critical benchmark for global iron ore prices, reflecting market dynamics and economic factors affecting the industry. Understand the assessment process, pricing fluctuations, and their impact on steel manufacturing and global commodities markets.
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Iron Ore rose to 105.43 USD/T on September 12, 2025, up 0.24% from the previous day. Over the past month, Iron Ore's price has risen 3.33%, and is up 14.27% 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 September of 2025.
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Explore the critical role of market index iron ore in the global steel industry. Learn about key pricing benchmarks like the Platts Iron Ore Index and TSI, and how they provide transparency and insight into the iron ore market. Understand factors influencing prices such as demand dynamics, economic conditions, and China's consumption patterns.
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Naphtha fell to 561.12 USD/T on September 11, 2025, down 0.70% from the previous day. Over the past month, Naphtha's price has risen 1.72%, but it is still 9.11% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Naphtha - values, historical data, forecasts and news - updated on September of 2025.
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
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Platts coking coal price assessments are crucial benchmark price assessments in the global coal market. They provide transparency and facilitate efficient price discovery, influencing market decisions on coal trading, investment, and risk management.
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Brent rose to 66.89 USD/Bbl on September 12, 2025, up 0.99% from the previous day. Over the past month, Brent's price has risen 1.93%, but it is still 6.59% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Brent crude oil - values, historical data, forecasts and news - updated on September of 2025.
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
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Discover the significance of the API (Argus/Platts) coal index in international markets, focusing on key benchmarks like API2 and API4, which are crucial for transparency and reliable pricing in the coal industry. Learn how these indices aid producers, consumers, and traders in making informed decisions amidst changing market dynamics and regulatory scrutiny.
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Polypropylene fell to 6,818 CNY/T on September 12, 2025, down 0.50% from the previous day. Over the past month, Polypropylene's price has fallen 3.81%, and is down 9.25% 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 Polypropylene.
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Platts met coal prices are benchmark prices for metallurgical (met) coal, also known as coking coal, which is a key ingredient in the steelmaking process. Platts, a leading provider of energy and commodities information, publishes daily price assessments for various types and grades of met coal. They are widely regarded as a reliable and objective source of price information in the coal industry, used for price negotiations, risk management, and market analysis.
Platts Lookout AWS - part of the Tasmanian Hydro-Meteorological Sensor Web. Observed Phenomena: Air Temperature, Wind Speed, Wind Direction, Average Wind Speed, Rainfall Rate, Rainfall Today, Atmospheric Pressure, Barometric Trend, Humidity, Dew Point, UV Index, Solar Radiation. This dataset collection is produced using a Davis Weather Station Wireless Vantage Pro2 Plus 6162. This site is part of a group of sensors that has been installed across Tasmania. Forestry Tasmania uses the sensors predominantly for fire management. In an example of the way the sensor web can be re-purposed, some of the sensors are being used to calibrate and feed river flow forecast models.
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Investigate historical ownership changes and registration details by initiating a reverse Whois lookup for the name Cut Mary V Platt.
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Gasoline fell to 1.96 USD/Gal on September 12, 2025, down 0.59% from the previous day. Over the past month, Gasoline's price has fallen 5.74%, but it is still 1.05% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gasoline - values, historical data, forecasts and news - updated on September of 2025.
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Monthly data for January 2009 - December 2016, the operational variable determined in this study is the oil price index which is an index of oil prices (ICP), while ICP oil prices refer to Platts, Rim oil prices.
Timeseries data from 'PEACE RIVER AT PLATT FL (USGS 02297345)' (gov_usgs_nwis_02297345) cdm_data_type=TimeSeries cdm_timeseries_variables=station,longitude,latitude contributor_email=feedback@axiomdatascience.com contributor_name=Axiom Data Science contributor_role=processor contributor_role_vocabulary=NERC contributor_url=https://www.axiomdatascience.com Conventions=IOOS-1.2, CF-1.6, ACDD-1.3, NCCSV-1.2 defaultDataQuery=water_surface_height_above_reference_datum_above_localstationdatum_qc_agg,sea_water_temperature,sea_water_temperature_qc_agg,water_surface_height_above_reference_datum_above_localstationdatum,z,time&time>=max(time)-3days Easternmost_Easting=-81.999444 featureType=TimeSeries geospatial_lat_max=27.086667 geospatial_lat_min=27.086667 geospatial_lat_units=degrees_north geospatial_lon_max=-81.999444 geospatial_lon_min=-81.999444 geospatial_lon_units=degrees_east geospatial_vertical_max=0.0 geospatial_vertical_min=0.0 geospatial_vertical_positive=up geospatial_vertical_units=m history=Downloaded from USGS National Water Information System (NWIS) at id=131836 infoUrl=https://sensors.ioos.us/#metadata/131836/station institution=USGS National Water Information System (NWIS) naming_authority=com.axiomdatascience Northernmost_Northing=27.086667 platform=fixed platform_name=PEACE RIVER AT PLATT FL (USGS 02297345) platform_vocabulary=http://mmisw.org/ont/ioos/platform processing_level=Level 2 references=https://waterdata.usgs.gov/monitoring-location/02297345,, sourceUrl=https://waterdata.usgs.gov/monitoring-location/02297345 Southernmost_Northing=27.086667 standard_name_vocabulary=CF Standard Name Table v72 station_id=131836 time_coverage_end=2025-08-30T22:00:00Z time_coverage_start=2023-12-15T03:00:00Z Westernmost_Easting=-81.999444
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HRC Steel fell to 804.08 USD/T on September 11, 2025, down 0.11% from the previous day. Over the past month, HRC Steel's price has fallen 3.59%, but it is still 15.20% higher than a year ago, 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.
View market daily updates and historical trends for US Gulf Coast Ultra-Low Sulfur No 2 Diesel Spot Price. Source: Energy Information Administration. Trac…
Provides the latest ferrous and nonferrous benchmarks and price assessments from both S&P Global Platts and The Steel Index (TSI). With access to end-of-day assessments, third party data and a rolling 45-day historic database from two of the leading metals price reporting agencies.