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.

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.

Website: http://www.platts.com/products/market-data-metals

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.

Naphtha rose to 557.42 USD/T on July 11, 2025, up 1.24% from the previous day. Over the past month, Naphtha's price has risen 0.61%, but it is still 19.95% 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 July of 2025.

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.

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.

Leggett & Platt (LEG): Is It Time to Turn the Page?

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

Polypropylene fell to 7,066 CNY/T on July 11, 2025, down 0.42% from the previous day. Over the past month, Polypropylene's price has risen 0.57%, but it is still 8.28% lower 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 Polypropylene.

The article discusses the importance of the coking coal price index in tracking and analyzing price trends of coking coal in the global market. It explains how the index takes into account various factors and provides a standardized measure of the average price of coking coal. Market participants can use the index to monitor price movements, make informed decisions, and manage their price risk. The article also mentions the commonly used Platts Coking Coal Index (PCCI) and other available indices from major

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.

Leggett & Platt (LEG): Will Comfort and Convenience Lift Shares?

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

Browse Argus Propane Far East Index vs. Japan C&F Naphtha (Platts) Futures (3NA) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.

The CME Group Market Data Platform (MDP) 3.0 disseminates event-based bid, ask, trade, and statistical data for CME Group markets and also provides recovery and support services for market data processing. MDP 3.0 includes the introduction of Simple Binary Encoding (SBE) and Event Driven Messaging to the CME Group Market Data Platform. Simple Binary Encoding (SBE) is based on simple primitive encoding, and is optimized for low bandwidth, low latency, and direct data access. Since March 2017, MDP 3.0 has changed from providing aggregated depth at every price level (like CME's legacy FAST feed) to providing full granularity of every order event for every instrument's direct book. MDP 3.0 is the sole data feed for all instruments traded on CME Globex, including futures, options, spreads and combinations. Note: We classify exchange-traded spreads between futures outrights as futures, and option combinations as options.

Origin: Directly captured at Aurora DC3 with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP

Supported data encodings: DBN, CSV, JSON Learn more

Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics Learn more

Resolution: Immediate publication, nanosecond-resolution timestamps

Gasoline rose to 2.19 USD/Gal on July 11, 2025, up 1.65% from the previous day. Over the past month, Gasoline's price has risen 1.03%, but it is still 12.72% lower 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 July of 2025.

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.

Brent rose to 70.69 USD/Bbl on July 11, 2025, up 2.99% from the previous day. Over the past month, Brent's price has risen 1.92%, but it is still 16.86% 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 July of 2025.

Explore the critical role of iron ore market indices in determining ore prices essential for steel production. Discover insights on leading indices like Platts IODEX, MBIOI, and TSI, and learn how real-time data and sustainability impact market trends, production decisions, and pricing strategies in the evolving global iron ore industry.

The global Dry Bulk Shipping market will expand significantly by xx% CAGR between 2024 and 2031.

The demand for iron ore commodity types is rising in the global Dry Bulk Shipping market. 


Demand for capsized vessel types is rising in the global Dry Bulk Shipping market. 


Asia Pacific region will continue to lead, as dominating region and highest compound annual growth rate in the forecast year 2024 to 2031.

Current scenario of the Dry Bulk Shipping market

The key opportunity of the Dry Bulk Shipping market

The growing adoption of digitalization and technological advancement in the industry acts as an opportunity for the dry bulk shipping market.

There is a tendency in the dry bulk shipping sector towards greater technology adoption and digitalization. Ship owners and operators are improving overall operations, increasing fuel efficiency, and optimizing routes by utilizing digital technologies and data analytics. To enable better-informed decision-making, this involves combining sophisticated navigation systems, real-time monitoring tools, and predictive analytics.

For instance, Platts, a part of S&P Global Commodity Insights, unveiled the Platts Dry Index (PDI) in November 2023. By combining dry bulk freight data, this index offers a thorough industry benchmark. Weighted average time charter equivalent indices for the Capesize, Ultramax, Kamsarmax, and Supramax segments are the source of the PDI, which provides a more comprehensive and representative metric for the dry bulk shipping industry.

Source (https://press.spglobal.com/2023-11-14-Platts-of-S-P-Global-Commodity-Insights-launches-Dry-Bulk-Freight-Index)

To address environmental concerns, the dry bulk shipping industry is actively involved in decarbonization programs. As part of a larger commitment to lower carbon emissions, businesses are looking into cleaner propulsion technology, such as alternative fuels and energy-efficient vessel designs. Participation in industry-wide programs to achieve low-carbon and sustainable shipping is increasing. These initiatives show the industry's shared commitment to reducing its effects on climate change and are in line with international environmental goals.

Key drivers of the Dry Bulk Shipping market

Increasing urbanization is driving the dry bulk shipping market.

Urbanization patterns are important because they drive the demand for coal and iron ore as raw materials for building and infrastructure projects. However, the new outbreak has clouded the market, affecting commercial flows and maritime traffic.

For example, In 2022, approximately a third of the total population in India lived in cities. The trend shows an increase in urbanization by more than 4 percent in the last decade, meaning people have moved away from rural areas to find work and make a living in the cities.

Source (https://www.statista.com/statistics/271312/urbanization-in-india/#:~:text=Urbanization%20in%20India%202022&text=In%202022%2C%20approximately%20a%20third,a%20living%20in%20the%20cities.)

Grain, coal, and iron ore are among the basic materials whose demand for dry bulk transportation is highly impacted by the level of world economic activity. The two most often traded dry bulk commodities worldwide are coal and iron ore. Asia-Pacific's major nations, including China, Japan, and India, are among the biggest importers of coal to meet the needs of the energy industry. The need for building supplies and energy resources is fueled by urbanization and population growth, which drives the flow of coal, iron ore, and bauxite/alumina along international trade routes.

Growing requirements for steel are driving the dry bulk shipping market.

The requirement for infrastructure development increases along with city growth, which fuels the need for cement and steel production. Transport of bauxite and alumina is essential to the manufacturing of aluminum, which benefits a variety of sectors including building, automotive, and aerospace. Strategic vendor selection processes and strong transportation networks are essential for the smooth shipping of alumina and bauxite.

For example, According to the World Steel Association, steel demand rose by 0.4% in 2022 to 1840.2 Mt. Steel consumption will increase by 2.2% in 2023, reaching 1 881.4 Mt. According to the same statistical...

In May 2024, iron ore was valued at approximately *** U.S. dollars per dry metric ton unit (dmtu), as compared to *** U.S. dollars per dmtu in the same month of the previous year. Iron ore prices and production Iron ore refers to the minerals and rocks from which metallic iron is economically viable to extract. Pig iron, which is one of the raw materials used in steel production, is derived from iron ore. The price of iron ore has fluctuated a great deal over the last twenty years. In 2003, one dmtu of iron ore cost ** U.S. dollars, and increased to a high of *** U.S. dollars per dmtu in 2011. The price saw dramatic drops in the past decade, from ****** U.S. dollars per dry metric ton unit in March 2013 to ***** U.S. dollars per dmtu in December 2015. Since then, the price has increased gradually to ****** U.S. dollars per dmtu as of July 2021, before dropping sharply in August 2021. Iron ore producers Overall, the global production of iron ore did not decrease when the prices dropped. In fact, an increase in production among several of the world's largest iron ore producing countries was observed in the past five years. Australia produced *** million metric tons of iron ore in 2023. China is also among the world's largest iron ore producers, though its production is calculated differently than in other countries. Based primarily on the production of raw ore rather than usable ore, China produced an estimated *** million metric tons in 2023.

Graph and download economic data for Ultra-Low-Sulfur No. 2 Diesel Fuel Prices: U.S. Gulf Coast (DDFUELUSGULF) from 2006-06-14 to 2025-07-07 about diesel, fuels, commodities, and USA.

Iron Ore fell to 96.71 USD/T on July 11, 2025, down 0.05% from the previous day. Over the past month, Iron Ore's price has risen 1.31%, but it is still 11.74% 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.

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.