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 Economic Indicator Service (EIS) aims to deliver economic content to financial institutions on both buy and sell-side and service providers. This new service currently covers 34,351 recurring macro-economic indicators from 135 countries ( as of December 16, 2019 ) such as GDP data, unemployment releases, PMI numbers etc.

Economic Indicator Service gathers the major economic events from a variety of regions and countries around the globe and provides an Economic Events Data feed and Economic Calendar service to our clients. This service includes all previous historic data on economic indicators that are currently available on the database.

Depending on availability, information regarding economic indicators, including the details of the issuing agency as well as historical data series can be made accessible for the client. Key information about EIS: • Cloud-based service for Live Calendar – delivered via HTML/JavaScript application formats, which can then be embedded onto any website using iFrames • Alternatives methods available – such as API and JSON feed for the economic calendar that can be integrated into the company’s system • Live data – updated 24/5, immediately after the data has been released • Historical data – includes a feed of all previous economic indicators available We are currently adding additional indicators/countries from Africa as well as expanding our coverage of Indicators in G20. The calendar includes the following. • Recurring & Non-recurring indicators covering 136 countries across 21 regions. • Indicators showing high, medium, and low impact data. • Indicators showing actual, previous, and forecast data. • Indicators can be filtered across 16 subtypes. • News generation for selected high-impact data. • Indicator description and historical data up to the latest eight historical points with a chart.

📅 Forex Factory Economic Calendar Dataset (2007-01-01 to 2025-04-07)

This dataset contains a comprehensive archive of macroeconomic calendar events sourced from Forex Factory, spanning from January 1, 2007 to April 7, 2025.Each row captures a specific event with detailed metadata including currency, event type, market impact level, reported values, and descriptive context.

  📦 Dataset Summary

Total timespan: 2007-01-01 → 2025-04-07
Format: CSV (UTF-8)
Timezone:… See the full description on the dataset page: https://huggingface.co/datasets/Ehsanrs2/Forex_Factory_Calendar.

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  Economic Calendar Events Dataset





  Data Source

This dataset is generated by merging multiple economic calendar JSON files. The original data comes from various public economic calendar sources. Each JSON file contains several economic events, covering holidays, macroeconomic indicators, and important announcements from major countries and regions worldwide.

  Data Content

Each row represents a single economic event, with fields including event ID, title… See the full description on the dataset page: https://huggingface.co/datasets/huggingXG/forex_calendar.

Dataset

This dataset was created by cTatu

Contents

Browse LSEG's Events , discover our range of data, indices & benchmarks. Our Data Catalogue offers unrivalled data and delivery mechanisms.

All-City event calendar - ARCHIVED

For the new LA City Events dataset (refreshed daily), see https://data.lacity.org/A-Prosperous-City/LA-City-Events/rx9t-fp7k

📹Project Video available on YouTube - https://youtu.be/WmJYHz_qn5s

Realistic Synthetic - AI Financial & Market Data for Gemini(Google), ChatGPT(OpenAI), Llama(Meta)

This dataset provides a synthetic, daily record of financial market activities related to companies involved in Artificial Intelligence (AI). There are key financial metrics and events that could influence a company's stock performance like launch of Llama by Meta, launch of GPT by OpenAI, launch of Gemini by Google etc. Here, we have the data about how much amount the companies are spending on R & D of their AI's Products & Services, and how much revenue these companies are generating. The data is from January 1, 2015, to December 31, 2024, and includes information for various companies : OpenAI, Google and Meta.

This data is available as a CSV file. We are going to analyze this data set using the Pandas DataFrame.

This analyse will be helpful for those working in Finance or Share Market domain.

From this dataset, we extract various insights using Python in our Project.

1) How much amount the companies spent on R & D ?

2) Revenue Earned by the companies

3) Date-wise Impact on the Stock

4) Events when Maximum Stock Impact was observed

5) AI Revenue Growth of the companies

6) Correlation between the columns

7) Expenditure vs Revenue year-by-year

8) Event Impact Analysis

9) Change in the index wrt Year & Company

These are the main Features/Columns available in the dataset :

1) Date: This column indicates the specific calendar day for which the financial and AI-related data is recorded. It allows for time-series analysis of the trends and impacts.

2) Company: This column specifies the name of the company to which the data in that particular row belongs. Examples include "OpenAI" and "Meta".

3) R&D_Spending_USD_Mn: This column represents the Research and Development (R&D) spending of the company, measured in Millions of USD. It serves as an indicator of a company's investment in innovation and future growth, particularly in the AI sector.

4) AI_Revenue_USD_Mn: This column denotes the revenue generated specifically from AI-related products or services, also measured in Millions of USD. This metric highlights the direct financial success derived from AI initiatives.

5) AI_Revenue_Growth_%: This column shows the percentage growth of AI-related revenue for the company on a daily basis. It indicates the pace at which a company's AI business is expanding or contracting.

6) Event: This column captures any significant events or announcements made by the company that could potentially influence its financial performance or market perception. Examples include "Cloud AI launch," "AI partnership deal," "AI ethics policy update," and "AI speech recognition release." These events are crucial for understanding sudden shifts in stock impact.

7) Stock_Impact_%: This column quantifies the percentage change in the company's stock price on a given day, likely in response to the recorded financial metrics or events. It serves as a direct measure of market reaction.

This resource provides a concise summary of selected Canadian economic events, as well as international and financial market developments by calendar month. It is intended to provide contextual information only to support users of the economic data published by Statistics Canada. In identifying major events or developments, Statistics Canada is not suggesting that these have a material impact on the published economic data in a particular reference month.

We deliver via API access to Companies Financial statements, Insider transaction, Stock Ownership and all information relative to Stock Fundamental

Here is the extensive list of all the information that you can access via our API:

STOCK FUNDAMENTALS

Financial Statements Annual/Quarter Financial Statements As Reported International Filings Annual/Quarter Quarterly Earnings Reports Shares Float SEC RSS Feeds Real-time SEC Filings Rss feed 8K (Important Events)

STOCK FUNDAMENTALS ANALYSIS

Financial Ratios Annual/Quarter Enterprise Value Annual/Quarter Financial Statements Growth Annual Key Metrics Annual/Quarter Financial Growth Annual/Quarter Rating Daily DCF Real-time

STOCK CALENDARS

Earnings Calendar Popular IPO Calendar Stock Split Calendar Dividend Calendar Economic Calendar

COMPANY INFORMATION

Profile Minute Key Executives Market Capitalization Daily Company Outlook New Stock Peers

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Event Management Software Market Size 2025-2029

The event management software market size is forecast to increase by USD 3.17 billion, at a CAGR of 8.6% between 2024 and 2029.

The market is experiencing significant growth, driven by demand for advanced technologies such as machine learning and artificial intelligence and the increasing demand for cost-effective solutions. The emergence of chatbots in event management is another key trend, offering automated registration and customer support, enhancing the attendee experience. However, uncertainty surrounding the return on investment for event management software remains a challenge for potential buyers. Companies must carefully evaluate the benefits against the costs to justify the investment. Effective cost management and demonstrating clear value propositions will be crucial for market success. Chatbots, while offering operational efficiencies, require a strategic approach to ensure they deliver a positive attendee experience and align with the overall event objectives.
Navigating these challenges will require a deep understanding of customer needs and market dynamics, enabling companies to capitalize on the opportunities presented by this dynamic and evolving market.

What will be the Size of the Event Management Software Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market continues to evolve, with dynamic market activities shaping the industry's landscape. Seamlessly integrated solutions now encompass sustainability features, session scheduling, and event evaluation, among others. These tools enable real-time data analysis, company management, and user-friendly interfaces. Event calendars, registration management, on-demand content, and cloud-based hosting are also essential components, ensuring a comprehensive event planning experience. Moreover, virtual event platforms and hybrid event support have gained prominence, allowing for increased flexibility and accessibility. Networking features, social media integration, email marketing, and marketing automation further enhance the user experience. Data analytics, project management tools, and event logistics ensure event success metrics are met, while compliance standards and API integration provide additional value.

Attendee tracking, customer feedback, and security features are crucial elements for maintaining a seamless event experience. Mobile app development and ticketing systems cater to the growing demand for convenience and flexibility. Event budgeting remains a priority, with real-time data and company management ensuring financial efficiency. The ongoing unfolding of market activities underscores the importance of adaptability and innovation in the event management software sector.

How is this Event Management Software Industry segmented?

The event management software industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Deployment

  Cloud-based
  On-premises


Component

  Software
  Services


Sector

  SMEs
  Large enterprises


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

.

By Deployment Insights

The cloud-based segment is estimated to witness significant growth during the forecast period.

In the dynamic world of event management, the adoption of advanced technology solutions has become a necessity for businesses to streamline their operations and enhance the attendee experience. Cloud-based event management software has emerged as a preferred choice due to its numerous benefits. With infinite data storage capacity, cloud-based software eliminates the issue of insufficient space for event data. Furthermore, the SaaS pricing model offers cost savings and reduces operational and investment risks for companies. The extensive use of the Internet has accelerated the growth of this segment, making it a preferred choice for managing sessions, scheduling, event evaluation, lead capture, accessibility features, hybrid event support, reporting, social media integration, venue booking, speaker management, email marketing, websites, success metrics, user experience, data analytics, networking features, live streaming, project management tools, event logistics, compliance standards, API integration, attendee tracking, customer feedback, marketing automation, security features, mobile app development, ticketing systems, budgeting, real-time data, company management, user interface, event calendar, registration management, on-demand content, cloud-ba

View LSEG's extensive Economic Data, including content that allows the analysis and monitoring of national economies with historical and real-time series.

Consumer Confidence In the Euro Area increased to -14.70 points in July from -15.30 points in June of 2025. This dataset provides the latest reported value for - Euro Area Consumer Confidence - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Economic Optimism Index in the United States increased to 50.90 points in August from 48.60 points in July of 2025. This dataset provides the latest reported value for - United States IBD/TIPP Economic Optimism Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Capital-Expenditures Time Series for Workday Inc. Workday, Inc. provides enterprise cloud applications in the United States and internationally. The company offers a suite of financial management applications to maintain accounting information; manage financial processes, such as payables and receivables; identify real-time financial, operational, and management insights; perform financial consolidation; reduce time-to-close; promote internal control and auditability; and achieve consistency across finance operations. It also provides spend management solutions that help organizations to streamline supplier selection and contract management, build and execute sourcing events, such as requests for proposals, and manage indirect spend; expense management solutions to submit and approve expenses; and a suite of human capital management applications that enables HR teams to hire, onboard, pay, develop, reskill, and provide employee experiences. In addition, the company offers planning applications; and applications for analytics and reporting comprising augmented analytics to surface insights to the line of business in simple-to-understand stories. Further, it provides supply chain and inventory solutions to healthcare organizations; solutions to manage the end-to-end student and faculty lifecycle; Workday Extend for customers and their developers to build custom applications; and Workday Illuminate, which helps customers accelerate manual tasks, assist employees, and transform business processes. The company serves the professional and business services, financial services, healthcare, education, government, technology, media, retail, and hospitality industries. It sells its solutions through its direct sales organization. The company was formerly known as North Tahoe Power Tools, Inc. and changed its name to Workday, Inc. in July 2005. Workday, Inc. was incorporated in 2005 and is headquartered in Pleasanton, California.

Financial-Leverage-Ratio Time Series for Betsson AB. Betsson AB (publ), through its subsidiaries, invests in and manages online gaming business in the Nordic countries, Latin America, Western Europe, Central and Eastern Europe, Central Asia, and internationally. The company offers casino games, including slots, table games, and live casino; sportsbook that offers online betting on a various sports and events; and other games, such as poker, bingo, and scratch cards. It markets its products under the Betsson, Betsafe, Nordicbet, Racebets, Starcasino, and Inkabet brands. The company was incorporated in 1963 and is based in Stockholm, Sweden.

This dataset presents an extensive record of daily historical stock prices for Tesla, Inc. (TSLA), one of the world’s most innovative and closely watched electric vehicle and clean energy companies. The data was sourced from Yahoo Finance, a widely used and trusted provider of financial market data, and covers a significant period spanning from Tesla’s initial public offering (IPO) to the most recent date available at the time of extraction.

The dataset includes critical trading metrics for each market day, such as the opening price, highest and lowest prices of the day, closing price, adjusted closing price (accounting for dividends and splits), and total trading volume. This rich dataset supports a variety of use cases, including financial market analysis, investment research, time series forecasting, development and backtesting of trading algorithms, and educational projects in data science and finance.

Dataset Features

• Date: The calendar date for each trading session (in YYYY-MM-DD format)
• Open: The opening price of TSLA shares at the start of the trading day
• High: The highest price reached during the trading session
• Low: The lowest price reached during the trading session
• Close: The last price at which the stock traded during the day
• Adj Close: The closing price adjusted for corporate actions (splits, dividends, etc.)
• Volume: The total number of TSLA shares traded on that day

Source and Collection Details

• Source: Yahoo Finance - Tesla (TSLA) Historical Data
• Collection Method: Data was downloaded using Yahoo Finance's CSV export feature for accuracy and completeness.
• Time Range: Covers from Tesla’s IPO (June 2010) to the most recent available trading day.
• Data Integrity: Minimal cleaning was performed—dates were standardized, and any duplicate or empty rows were removed; all values remain as originally reported by Yahoo Finance.

Example Use Cases

• Stock Price Prediction: Train and test time series models (ARIMA, LSTM, Prophet, etc.) to forecast Tesla’s stock prices.
• Algorithmic Trading: Backtest and evaluate trading strategies using historical price and volume data.
• Market Trend Analysis: Analyze price trends, volatility, and return rates over different periods.
• Event Study: Investigate the impact of major announcements (e.g., product launches, earnings releases) on TSLA stock price.
• Educational Projects: Use as a hands-on resource for learning finance, statistics, or machine learning.

License & Acknowledgments

• Intended Use: This dataset is provided for academic, research, and personal projects. For commercial or investment use, please verify data accuracy and consult Yahoo Finance’s terms of use.
• Acknowledgment: Data sourced from Yahoo Finance. All trademarks and copyrights belong to their respective owners.

Interest-Expense Time Series for Q2 Holdings. Q2 Holdings, Inc. provides digital solutions to financial institutions, financial technology companies, FinTechs, and alternative finance companies (Alt-FIs) in the United States. The company offers Digital Banking Platform, an end-to-end digital banking platform that supports its financial institution customers in their delivery of retail, SMB, and commercial functionalities across digital channels; and risk and fraud solutions that are designed to enhance the security and integrity of digital banking operations, including real-time security analytics and behavioral analysis, event-driven validation for non-transactional fraud management, electronic transaction dispute management, ACH file monitoring and risk reporting, and check and ACH positive pay systems for commercial users. It also provides Q2 Innovation Studio, an application program interface and software development kit based open technology platform that allows financial institution customers and other partners to deploy customized experiences and the financial services to end users; and Helix, a cloud-native, real-time core processing platform that combines the services and functionality for companies and financial institutions. In addition, the company offers digital lending and relationship pricing solutions that provide tools for managing commercial lending deposits and fee-based transactions comprising loan pricing and negotiation tools, treasury pricing and fee-based service structuring, AI assistance for relationship managers, end-to-end loan origination and servicing, automation of lending activities, and support services to diverse loan types and asset classes, as well as portfolio management services, such as analysis, performance, reporting, and trend identification. The company was formerly known as CBG Holdings, Inc. and changed its name to Q2 Holdings, Inc. in March 2013. Q2 Holdings, Inc. was founded in 2004 and is headquartered in Austin, Texas.