Introducing our comprehensive economic calendar, your ultimate resource for tracking major global economic events and their impact on currency and stock market prices. With a vast array of fields including event name, country, previous and current values, and more, our calendar provides you with essential data to make informed financial decisions. Stay ahead of the curve with our real-time updates, ensuring you have access to the latest information every 15 minutes. With this powerful tool at your fingertips, you can confidently navigate the dynamic world of economic events and seize opportunities for success. Don't miss out on this essential resource for staying informed and making calculated moves in the market.

The Stock Market API market is projected to experience a remarkable growth trajectory, with a market size of XX million in 2025 and an anticipated CAGR of XX% over the forecast period of 2025-2033. This growth is driven by the increasing demand for real-time and accurate financial data for informed investment decisions, as well as the rise of cloud-based technologies and the proliferation of API-driven applications. Key market trends shaping the Stock Market API landscape include the adoption of advanced technologies such as artificial intelligence (AI) and machine learning (ML) for data analysis and prediction, the growing popularity of mobile trading and fintech applications, and the increasing demand for personalized and tailored financial services. The market is also characterized by a competitive landscape with a wide range of API providers offering diverse data offerings and integration options. Prominent players in the market include Marketstack, Alpha Vantage, Finnhub, Barchart, Financial Modeling Prep, EOD Historical Data, Tiingo, Intrinio, Quandl, Polygon, Alpaca, Yahoo, IEX Cloud, FRED (Federal Reserve Economic Data) API, Ally Invest API, Xignite, Tradier, AlphaSense, Refinitiv Data Platform, E*TRADE, Koyfin, Investopedia, and more.

Content

St. Louis Fed’s Economic News Index (ENI) uses economic content from key monthly economic data releases to forecast the growth of real GDP during that quarter. In general, the most-current observation is revised multiple times throughout the quarter. The final forecasted value (before the BEA’s release of the advance estimate of GDP) is the static, historical value for that quarter. For more information, see Grover, Sean P.; Kliesen, Kevin L.; and McCracken, Michael W. “A Macroeconomic News Index for Constructing Nowcasts of U.S. Real Gross Domestic Product Growth" (https://research.stlouisfed.org/publications/review/2016/12/05/a-macroeconomic-news-index-for-constructing-nowcasts-of-u-s-real-gross-domestic-product-growth/ )

Context

This is a dataset from the Federal Reserve Bank of St. Louis hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve Bank of St. Louis using Kaggle and all of the data sources available through the St. Louis Fed organization page!

• Update Frequency: This dataset is updated daily.

• Observation Start: 2013-04-01

• Observation End : 2019-10-01

Acknowledgements

This dataset is maintained using FRED's API and Kaggle's API.

Cover photo by Ferdinand Stöhr on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

Content

More details about each file are in the individual file descriptions.

Context

This is a dataset from the Federal Reserve Bank of St. Louis hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve Bank of St. Louis using Kaggle and all of the data sources available through the St. Louis Fed organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using FRED's API and Kaggle's API.

Cover photo by Vita Vilcina on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

Content

More details about each file are in the individual file descriptions.

Context

This is a dataset from the Federal Reserve Bank of St. Louis hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve Bank of St. Louis using Kaggle and all of the data sources available through the St. Louis Fed organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using FRED's API and Kaggle's API.

Cover photo by Eddy Billard on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

The global Stock Market API market is experiencing robust growth, driven by the increasing demand for real-time and historical financial data across various sectors. The proliferation of algorithmic trading, quantitative analysis, and the development of sophisticated financial applications are key factors fueling this expansion. The market is segmented by deployment (cloud-based and on-premises) and user type (SMEs and large enterprises), with cloud-based solutions gaining significant traction due to their scalability, cost-effectiveness, and accessibility. Large enterprises, with their extensive data processing needs and investment in advanced analytics, currently dominate the market share, but the SME segment is exhibiting impressive growth potential as access to affordable and user-friendly APIs becomes increasingly widespread. Geographic expansion is also a significant driver, with North America and Europe holding substantial market shares, while Asia-Pacific is emerging as a rapidly growing region fueled by increasing technological adoption and economic expansion. While competitive pressures from numerous providers and data security concerns present some restraints, the overall market outlook remains highly positive, projected to maintain a strong Compound Annual Growth Rate (CAGR) over the forecast period (2025-2033). The competitive landscape is characterized by a diverse range of established players and emerging startups. Established players like Refinitiv and Bloomberg offer comprehensive data solutions, while smaller companies like Alpha Vantage and Marketstack provide specialized APIs focusing on specific data sets or user needs. This competitive environment fosters innovation, driving the development of new features and capabilities within Stock Market APIs. The increasing demand for integrated data solutions—combining market data with alternative data sources—is another key trend shaping the market. Future growth will likely be fueled by the expansion of fintech, the rise of robo-advisors, and increasing adoption of APIs in academic research and financial education. The market's continued evolution necessitates ongoing adaptation and innovation from both established players and new entrants to cater to the evolving needs of a dynamic and technology-driven financial ecosystem. This ongoing innovation and increasing demand will drive the market to significant growth over the next decade.

Content

The STLFSI measures the degree of financial stress in the markets and is constructed from 18 weekly data series: seven interest rate series, six yield spreads and five other indicators. Each of these variables captures some aspect of financial stress. Accordingly, as the level of financial stress in the economy changes, the data series are likely to move together.

How to Interpret the Index: The average value of the index, which begins in late 1993, is designed to be zero. Thus, zero is viewed as representing normal financial market conditions. Values below zero suggest below-average financial market stress, while values above zero suggest above-average financial market stress.

More information: For additional information on the STLFSI and its construction, see "Measuring Financial Market Stress" (https://files.stlouisfed.org/research/publications/es/10/ES1002.pdf) and the related appendix (https://files.stlouisfed.org/files/htdocs/publications/net/NETJan2010Appendix.pdf).

See this list (https://www.stlouisfed.org/news-releases/st-louis-fed-financial-stress-index/stlfsi-key) of the components that are used to construct the STLFSI.

As of 07/15/2010 the Vanguard Financial Exchange-Traded Fund series has been replaced with the S&P 500 Financials Index. This change was made to facilitate a more timely and automated updating of the FSI. Switching from the Vanguard series to the S&P series produced no meaningful change in the index.

Copyright, 2016, Federal Reserve Bank of St. Louis.

Context

This is a dataset from the Federal Reserve Bank of St. Louis hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve Bank of St. Louis using Kaggle and all of the data sources available through the St. Louis Fed organization page!

• Update Frequency: This dataset is updated daily.

• Observation Start: 1993-12-31

• Observation End : 2019-11-29

Acknowledgements

This dataset is maintained using FRED's API and Kaggle's API.

Cover photo by Laura Lefurgey-Smith on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

Check out Market Research Intellect's Financial Data Apis Market Report, valued at USD 3.5 billion in 2024, with a projected growth to USD 10.2 billion by 2033 at a CAGR of 15.9% (2026-2033).

This API provides data back to 1990 and projections annually, monthly, and quarterly for 18 months. It provides data on economic output, income, expenditures, employment, production and price indexes. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

Global Financial Data APIs market size 2025 was XX Million. Financial Data APIs Industry compound annual growth rate (CAGR) will be XX% from 2025 till 2033.

API Crude Oil Stock Change in the United States decreased to -0.58 BBL/1Million in July 18 from 0.84 BBL/1Million in the previous week. This dataset provides - United States API Crude Oil Stock Change- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Content

More details about each file are in the individual file descriptions.

Context

This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using FRED's API and Kaggle's API.

Cover photo by AbsolutVision on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

Content

More details about each file are in the individual file descriptions.

Context

This is a dataset from the U.S. Census Bureau hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according the amount of data that is brought in. Explore the U.S. Census Bureau using Kaggle and all of the data sources available through the U.S. Census Bureau organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using FRED's API and Kaggle's API.

This API provides state-level and national-level energy prices and expenditures. Data organized by major economic sectors. EIA's State Energy Data System (SEDS) is a comprehensive data set that consists of annual time series estimates of state-level energy use by major economic sectors, energy production and State-level energy price and expenditure data. The system provides data back from 1960. Data are presented in physical units, Btu, and dollars. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

This API contains state-level and national-level data on energy production. EIA's State Energy Data System (SEDS) is a comprehensive data set that consists of annual time series estimates of state-level energy production by major economic sectors, energy production and State-level energy price and expenditure data. The system provides data back from 1960. Data are presented in physical units, Btu, and dollars. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

United Kingdom Total Economy (TE): Uses: Allocations of Primary Income Account (API data was reported at 673,594.000 GBP mn in Mar 2018. This records a decrease from the previous number of 673,744.000 GBP mn for Dec 2017. United Kingdom Total Economy (TE): Uses: Allocations of Primary Income Account (API data is updated quarterly, averaging 420,984.000 GBP mn from Mar 1987 (Median) to Mar 2018, with 125 observations. The data reached an all-time high of 673,744.000 GBP mn in Dec 2017 and a record low of 168,250.000 GBP mn in Mar 1987. United Kingdom Total Economy (TE): Uses: Allocations of Primary Income Account (API data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s UK – Table UK.AB023: ESA10: Resources and Uses: Total Economy: Primary Income.

API Interface Service Platform Market Outlook

The global API Interface Service Platform market size was valued at approximately USD 8.5 billion in 2023 and is projected to reach around USD 23.4 billion by 2032, growing at a CAGR of 12.1% during the forecast period. This growth is primarily driven by the increasing need for seamless integration of various software applications and the rising adoption of cloud-based solutions across different industries.

One of the primary growth factors for the API Interface Service Platform market is the escalating demand for digital transformation across various sectors. Organizations are increasingly leveraging APIs to enhance their operational efficiency, facilitate real-time data exchange, and improve customer experiences. The rising trend of microservices architecture, which relies heavily on APIs for communication between different services, is further propelling the marketÂ’s growth.

Additionally, the surge in mobile application usage and the proliferation of IoT devices are significantly contributing to the expansion of this market. APIs serve as critical intermediaries that enable communication and data transfer between mobile applications, IoT devices, and backend systems. This integration is crucial for developing innovative applications and services, thereby driving the demand for robust API interface platforms.

The growing emphasis on open banking initiatives and the increasing adoption of APIs in the financial sector are also notable factors fueling the market growth. Financial institutions are utilizing APIs to offer more personalized and efficient services to their customers. The integration of APIs facilitates seamless data sharing between different financial systems, enhancing the overall user experience and operational efficiency.

Regionally, North America is expected to dominate the API Interface Service Platform market during the forecast period, followed by Europe. The presence of major technology companies, high adoption rate of advanced technologies, and the growing demand for digital transformation solutions are key factors contributing to the market growth in these regions. Additionally, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by rapid industrialization, increasing investments in IT infrastructure, and the rising adoption of digital solutions across various industries.

Component Analysis

The API Interface Service Platform market is segmented into software, hardware, and services. The software segment holds the largest share, driven by the increasing demand for API management platforms and tools that facilitate seamless integration and communication between different applications. These software solutions offer a range of functionalities, including API creation, deployment, monitoring, and security, making them indispensable for modern enterprises.

The hardware segment, although smaller in comparison to software, is also witnessing growth due to the need for robust infrastructure to support API operations. This includes servers, storage devices, and networking equipment that ensure high performance and reliability of API services. The rising adoption of edge computing is further contributing to the demand for specialized hardware that can handle API requests closer to the source of data generation.

Services form a crucial component of the API Interface Service Platform market, encompassing consulting, implementation, and maintenance services. As organizations strive to optimize their API strategies, there is a growing need for expert guidance and support. Consulting services help businesses in identifying the right API solutions and creating effective API strategies. Implementation services ensure the smooth deployment of API platforms, while maintenance services provide ongoing support and upgrades to keep the systems running efficiently.

Furthermore, the increasing complexity of IT environments and the need for customized solutions are driving the demand for professional services. Managed services, in particular, are gaining traction as they offer comprehensive support, including monitoring, security, and performance optimization, allowing businesses to focus on their core operations while ensuring their API infrastructure operates seamlessly.

Report Scope

Our Financial API provides access to a vast collection of historical financial statements for over 50,000+ companies listed on major exchanges. With this powerful tool, you can easily retrieve balance sheets, income statements, and cash flow statements for any company in our extensive database. Stay informed about the financial health of various organizations and make data-driven decisions with confidence. Our API is designed to deliver accurate and up-to-date financial information, enabling you to gain valuable insights and streamline your analysis process. Experience the convenience and reliability of our company financial API today.

API Distillate Stocks in the United States increased to 0.80 BBL/1Million in July 11 from -0.80 BBL/1Million in the previous week. This dataset provides - United States API Distillate Stocks Change- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Content

This series is constructed as Advance Retail and Food Services Sales (https://fred.stlouisfed.org/series/RSAFS) deflated using the Consumer Price Index for All Urban Consumers (1982-84=100) (https://fred.stlouisfed.org/series/CPIAUCSL).

Context

This is a dataset from the Federal Reserve Bank of St. Louis hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve Bank of St. Louis using Kaggle and all of the data sources available through the St. Louis Fed organization page!

• Update Frequency: This dataset is updated daily.

• Observation Start: 1992-01-01

• Observation End : 2019-10-01

Acknowledgements

This dataset is maintained using FRED's API and Kaggle's API.

Cover photo by Ive Erhard on Unsplash
Unsplash Images are distributed under a unique Unsplash License.