Access CME futures and options data for interest rate markets, including U.S. Treasuries, SOFR, Federal Funds, ESTR, and more with Databento's APIs or web portal.

Our continuous contract symbology is a notation that maps to an actual, tradable instrument on any given date. The prices returned are real, unadjusted prices. We do not create a synthetic time series by adjusting the prices to remove jumps during rollovers.

CME stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

In 2023, 3-Month SOFR (Secured Overnight Financing Rate) futures had the highest trading volume of all exchange-traded interest rate derivatives in 2023, with 809 million contracts traded on the CME. 10-year Treasury Notes futures followed, with 498 million contracts traded on the same exchange.

CBOT operates as part of the CME Group, offering a wide range of futures and options contracts across various asset classes. CBOT specializes in trading futures and options contracts for agricultural commodities, such as corn, soybeans, wheat, and oats, as well as financial instruments, including interest rates and stock indexes.

CME Group current price to free cash flow ratio as of June 22, 2025 is 25.79. CME Group average price to free cash flow ratio for 2024 was 21.34, a 5.33% increase from 2023. CME Group average price to free cash flow ratio for 2023 was 20.26, a 12.41% increase from 2022. CME Group average price to free cash flow ratio for 2022 was 23.13, a 20.79% decline from 2021. Price to free cash flow ratio can be defined as

United States Open Interest: CBOT: Financial Futures: Interest Rate Swap: 10 Years data was reported at 0.000 Contract in May 2018. This stayed constant from the previous number of 0.000 Contract for Apr 2018. United States Open Interest: CBOT: Financial Futures: Interest Rate Swap: 10 Years data is updated monthly, averaging 13,704.000 Contract from Oct 2001 (Median) to May 2018, with 200 observations. The data reached an all-time high of 66,730.000 Contract in Aug 2007 and a record low of 0.000 Contract in May 2018. United States Open Interest: CBOT: Financial Futures: Interest Rate Swap: 10 Years data remains active status in CEIC and is reported by CME Group. The data is categorized under Global Database’s United States – Table US.Z022: CBOT: Futures: Open Interest.

Access CME Group data sourced directly from raw feeds at colocation sites. Try out our market data APIs for Python, C++, and other applications for free.

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.

Breadth of coverage: 2,138 products

Asset class(es): Futures, 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

CME reported $157.83B in Assets for its fiscal quarter ending in March of 2025. Data for CME - Assets including historical, tables and charts were last updated by Trading Economics this last July in 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.

CME CME Group Inc. Class A Common Stock

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

CME reported 27.43 in PE Price to Earnings for its fiscal quarter ending in March of 2025. Data for CME - PE Price to Earnings including historical, tables and charts were last updated by Trading Economics this last July in 2025.

With LSEG's CME (Chicago Mercantile Exchange) Group Data, you can benefit from real-time and delayed data, and a wide range of global benchmarks.

CME reported $1.64B in Sales Revenues for its fiscal quarter ending in March of 2025. Data for CME - Sales Revenues including historical, tables and charts were last updated by Trading Economics this last July in 2025.

📈 Daily Historical Stock Price Data for CME Group Inc. (2002–2025)

A clean, ready-to-use dataset containing daily stock prices for CME Group Inc. from 2002-12-06 to 2025-05-28. This dataset is ideal for use in financial analysis, algorithmic trading, machine learning, and academic research.

  🗂️ Dataset Overview

Company: CME Group Inc. Ticker Symbol: CME Date Range: 2002-12-06 to 2025-05-28 Frequency: Daily Total Records: 5654 rows (one per trading day)

  🔢… See the full description on the dataset page: https://huggingface.co/datasets/khaledxbenali/daily-historical-stock-price-data-for-cme-group-inc-20022025.

CME reported $956.2M in Net Income for its fiscal quarter ending in March of 2025. Data for CME - Net Income including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Browse Chicago SRW Wheat Futures (ZW) 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

The net cash of Cme Group with headquarters in the United States amounted to **** billion U.S. dollars in 2024. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2020 this is a total increase by approximately **** billion U.S. dollars. The trend from 2020 to 2024 shows, however, that this increase did not happen continuously.

Explore the dynamic factors influencing soybean prices on the Chicago Mercantile Exchange (CME), including supply-demand dynamics, weather, and geopolitical events. Understand the role of futures contracts in this volatile market, and how global agricultural and trade developments affect pricing.

CME reported $99.76B in Market Capitalization this July of 2025, considering the latest stock price and the number of outstanding shares.Data for CME - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last July in 2025.

The total equity of Cme Group with headquarters in the United States amounted to ***** billion U.S. dollars in 2024. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2020 this is a total increase by approximately **** billion U.S. dollars. The trend from 2020 to 2024 shows, however, that this increase did not happen continuously.

Browse Silver Futures (SI) 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