This dataset provides comprehensive access to financial market data from Google Finance in real-time. Get detailed information on stocks, market quotes, trends, ETFs, international exchanges, forex, crypto, and related news. Perfect for financial applications, trading platforms, and market analysis tools. The dataset is delivered in a JSON format via REST API.

Global Stock Market Data. More than 150 pricing sources, including biggest world stock exchanges. Pay only for the stock exchanges, parameters or regions you need. Flexible in customizing our product to the customer's needs. Free test access as long as you need for integration. Reliable sources: stock exchanges and market participants. The cost depends on the amount of required parameters and re-distribution right.

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.

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

The best choice for those looking for license-free US market data for commercial use is US Equities Basic, which includes data display, redistribution, professional trading, and more.

US Equities Basic is based upon a derived IEX feed. The volume coverage is 3-5% of the total trading volume in North America, which helps entities mitigate license expenses and start with real-time data.

US Equities Basic provides raw quotes, trades, aggregated time series (OHLCV), and snapshots. Both REST API and WebSocket API are available.

End-of-day price information disseminated after 12:00 AM EST does not require licensing in the United States by law. This applies to all exchanges, even those not included in the US Equities Basic. Finazon combines all price information after every trading day, meaning that while markets are open, real-time prices are available from a subset of exchanges, and when markets close, data is synced and contains 100% of US volume. All historical prices are adjusted for corporate actions and splits.

Tip: Individuals with non-professional usage are not required to get exchange licenses for real-time data and, hence, are better off with the US Equities Max dataset.

Update

Unfortunately, the API this dataset used to pull the stock data isn't free anymore. Instead of having this auto-updating, I dropped the last version of the data files in here, so at least the historic data is still usable.

Content

This dataset provides free end of day data for all stocks currently in the Dow Jones Industrial Average. For each of the 30 components of the index, there is one CSV file named by the stock's symbol (e.g. AAPL for Apple). Each file provides historically adjusted market-wide data (daily, max. 5 years back). See here for description of the columns: https://iextrading.com/developer/docs/#chart

Since this dataset uses remote URLs as files, it is automatically updated daily by the Kaggle platform and automatically represents the latest data.

Acknowledgements

List of stocks and symbols as per https://en.wikipedia.org/wiki/Dow_Jones_Industrial_Average

Thanks to https://iextrading.com for providing this data for free!

Terms of Use

Data provided for free by IEX. View IEX’s Terms of Use.

Browse LSEG's market-leading global Pricing and Market Data for the financial markets, providing the broadest range of cross-asset market and pricing data.

Access LSEG's London Stock Exchange (LSE) Market Data, and find benchmarks, indices, and real-time and historic market information.

View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

Context

The algorithmic trading space is buzzing with new strategies. Companies have spent billions in infrastructures and R&D to be able to jump ahead of the competition and beat the market. Still, it is well acknowledged that the buy & hold strategy is able to outperform many of the algorithmic strategies, especially in the long-run. However, finding value in stocks is an art that very few mastered, can a computer do that?

Content

This Data repo contains two datasets:

1. Example_2019_price_var.csv. I built this dataset thanks to Financial Modeling Prep API and to pandas_datareader. Each row is a stock from the technology sector of the US stock market (that is available from the aforementioned API, which is free and highly recommended). The column contains the percent price variation of each stock for the year 2019. In other words, it collects the percent price variation of each stock from the first trading day on Jan 2019 to the last trading day of Dec 2019. To compute this price variation I decided to consider the Adjusted Close Price.

2. Example_DATASET.csv. I built this dataset thanks to Financial Modeling Prep API. Each row is a stock from the technology sector of the US stock market (that is available from the aforementioned API). Each column is a financial indicator that can be found in the 2018 10-K filings of each company. There are no Nans or empty cells. Furthermore, the last column is the CLASS of each stock, where:

   1. class = 1 if the price of the stock increases during 2019
   2. class = 0 if the price of the stock decreases during 2019

In other words, the last column is used to classify each stock in buy-worthy or not, and this relationship is what should allow a machine learning model to learn to recognize stocks that will increase their value from those that won't.

NOTE: the number of stocks does not match between the two datasets because the API did not have all the required financial indicators for some stocks. It is possible to remove from Example_2019_price_var.csv those rows that do not appear in Example_DATASET.csv.

Inspiration

I built this dataset during the 2019 winter holidays period, because I wanted to answer a simple question: is it possible to have a machine learning model learn the differences between stocks that perform well and those that don't, and then leverage this knowledge in order to predict which stock will be worth buying? Moreover, is it possible to achieve this simply by looking at financial indicators found in the 10-K filings?

NASDAQ Listed Companies Dataset

Description:

This dataset provides comprehensive information on companies listed on the NASDAQ stock exchange. It includes essential details about each company, making it a valuable resource for financial analysis, stock market research, and investment strategies.

Features:

• symbol: The unique ticker symbol used to identify the company's stock on the NASDAQ exchange.
• name: The full name of the company.
• currency: The currency in which the company's stock is traded.
• exchange: The stock exchange where the company is listed (in this case, NASDAQ).
• mic_code: The Market Identifier Code (MIC) for the NASDAQ exchange.
• country: The country where the company is headquartered.
• type: The type of company, such as common stock or preferred stock.
• Usage: This dataset can be used for various purposes including:

Stock Market Analysis:

Analyze stock symbols, company names, and market data.

Financial Modeling:

Incorporate company details into financial models and investment strategies.

Market Research:

Understand the distribution of companies by country and currency.

Data Visualization:

Create visualizations of the NASDAQ market landscape.

Data Source:

The data is sourced from the Twelve Data API, which provides up-to-date financial and stock market information.

Notes: The dataset includes only NASDAQ-listed companies and does not cover other exchanges. Ensure to comply with any data usage policies or licensing agreements associated with the data source. Feel free to adapt the description based on the specific details and attributes of your dataset.

Twelve Data is a technology-driven company that provides financial market data, financial tools, and dedicated solutions. Large audiences - from individuals to financial institutions - use our products to stay ahead of the competition and success.

At Twelve Data we feel responsible for where the markets are going and how people are able to explore them. Coming from different technological backgrounds, we see how the world is lacking the unique and simple place where financial data can be accessed by anyone, at any time. This is what distinguishes us from others, we do not only supply the financial data but instead, we want you to benefit from it, by using the convenient format, tools, and special solutions.

We believe that the human factor is still a very important aspect of our work and therefore our ethics guides us on how to treat people, with convenient and understandable resources. This includes world-class documentation, human support, and dedicated solutions.

Company Financial API gives access to aggregated company financial data on 80M+ companies from the whole of Europe and beyond.

Company registration data: company name national identifier and its type registered address: street, postal code, city, state / province, country business activity: SIC code, local activity code with classification system year of establishment company type location type

Sales and number of employees data: sales in EUR, USD and local currency (with local currency code) total number of employees sales and number of employees accuracy local number of employees (in case of multiple branches) companies’ sales and number of employees market position compared to other companies in a country / industry / region

Industry data: size of the whole industry size of all companies operating within a particular SIC code benchmarking within a particular country or industry regional benchmarking (EU 27, state / province)

Contact details: company website company email domain (without person’s name)

Invoicing details available for selected countries: company name company address company VAT number

Global API Management Market size valued at US$ 5.82 Billion in 2023, set to reach US$ 65.00 Billion by 2032 at a CAGR of about 27.3% from 2024 to 2032.

Yahoo Finance dataset provides information on top traded companies. It contains financial information on each company including stock ticker and risk scores and general company information such as company location and industry. Each record in the dataset is a unique stock, where multiple stocks can be related to the same company. Yahoo Finance dataset attributes include: company name, company ID, entity type, summary, stock ticker, currency, earnings, exchange, closing price, previous close, open, bid, ask, day range, week range, volume, and much more.

Renewable Energy Market Data API Market Outlook

According to our latest research, the global Renewable Energy Market Data API market size is valued at USD 1.21 billion in 2024, with a robust compound annual growth rate (CAGR) of 18.7% projected through the forecast period. By 2033, the market is expected to reach approximately USD 6.38 billion. This impressive growth trajectory is driven by the increasing adoption of digitalization in the energy sector, the integration of advanced analytics, and the growing necessity for real-time renewable energy data to optimize power generation, grid management, and energy trading operations globally.

One of the primary growth factors for the Renewable Energy Market Data API market is the rapid expansion of renewable energy installations worldwide. As governments and private sector players intensify their commitments to reduce carbon emissions and achieve sustainability targets, the need for precise, real-time, and interoperable data has become paramount. APIs play a critical role by enabling seamless data exchange between disparate systems, supporting the integration of solar, wind, hydro, bioenergy, and geothermal sources into national and regional grids. This digital backbone not only enhances operational efficiency but also supports regulatory compliance and reporting, which are increasingly stringent in major markets.

In addition, the proliferation of smart grids and the rising demand for advanced forecasting and analytics solutions have further accelerated the uptake of Renewable Energy Market Data APIs. Utilities, energy companies, and grid operators are leveraging these APIs to monitor performance, predict supply fluctuations, and optimize energy trading strategies in real time. The ability to access granular and actionable data empowers stakeholders to minimize downtime, manage distributed energy resources more effectively, and respond proactively to changes in supply and demand. This data-driven approach is essential for maintaining grid stability and maximizing the value of renewable assets in a rapidly evolving energy landscape.

Technological advancements in cloud computing and artificial intelligence are also shaping the future of the Renewable Energy Market Data API market. Cloud-based deployment models offer scalability, flexibility, and cost-efficiency, making them increasingly attractive for both established utilities and emerging energy startups. Meanwhile, AI-driven analytics enhance the predictive capabilities of APIs, supporting more accurate forecasting and decision-making. As the market matures, we anticipate greater standardization of API protocols and broader adoption across diverse end-user segments, including government agencies, research institutions, and independent power producers.

Regionally, North America and Europe are leading the charge in API adoption, thanks to their advanced renewable infrastructure and supportive regulatory environments. However, Asia Pacific is emerging as a high-growth market, driven by rapid urbanization, significant investments in clean energy projects, and government-led digital transformation initiatives. The Middle East & Africa and Latin America are also witnessing increased adoption, albeit at a slower pace, as these regions work to modernize their energy sectors and diversify their energy mix. Overall, the global outlook for the Renewable Energy Market Data API market remains highly positive, with substantial opportunities for innovation and expansion across all major regions.

Type Analysis

The Renewable Energy Market Data API market is segmented by type into Solar, Wind, Hydro, Bioenergy, Geothermal, and Others. The solar segment currently holds the largest share, driven by the exponential growth in solar PV installations globally and the necessity for real-time data to monitor and optimize solar asset performance. Solar APIs facilitate seamless integration of production data, weather forecasts, and maintenance schedules, enabling operators to maximize efficiency

Snapshot img

API Management Market Size 2025-2029

The API management market size is forecast to increase by USD 3.75 billion at a CAGR of 12.3% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing adoption of digital payment solutions and the proliferation of digital wallets. However, challenges persist, including poor internet connectivity in developing countries, which can hinder the adoption and effective implementation of Api Management solutions. Companies must navigate these challenges to capitalize on the market's potential. Strategies such as investing in offline solutions and partnering with local providers can help overcome connectivity issues and expand market reach.
Additionally, focusing on security and scalability will be crucial, as businesses demand reliable and secure Api Management solutions to support their digital initiatives. These trends reflect the digital transformation underway in various industries, as businesses seek to enhance customer experience and streamline operations. Overall, the market presents opportunities for innovation and growth, with companies that address the unique challenges of this dynamic landscape poised to succeed.

What will be the Size of the API Management 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 is experiencing significant innovation, with a focus on enhancing API Return on Investment (ROI) through multi-cloud API adoption and API-driven development. API maturity is on the rise, driving the need for advanced API logging, performance benchmarking, and usage analytics. API interoperability and standardization are crucial to addressing integration challenges in complex API ecosystems. API observability and developer experience are becoming key differentiators, with the emergence of API documentation generators and debugging tools. API adoption rates continue to grow, fueled by the increasing use of composite and hybrid cloud APIs, serverless functions, and microservices orchestration.

The market is experiencing significant growth, driven by the increasing adoption of digital payment solutions and the proliferation of digital wallets. API platform comparisons and compliance are essential for businesses navigating the diverse landscape of API offerings. API monetization strategies, such as API-led connectivity and edge computing APIs, are gaining traction. API evolution is ongoing, with a shift towards API-first design and headless CMS integration. API usage patterns are evolving, requiring new testing frameworks and security measures to address API performance optimization and vulnerabilities. Ultimately, API governance policies and discovery tools are essential for managing the complexities of API consumption and ensuring compliance in the dynamic API market.

How is this API Management Industry segmented?

The api management 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
  On-premises


Solution

  API gateways
  API lifecycle management
  API security
  API analytics and monitoring
  API developer portals


End-user

  Large enterprises
  SMEs


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  Middle East and Africa

    UAE


  APAC

    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Deployment Insights

The cloud segment is estimated to witness significant growth during the forecast period. The market is experiencing significant growth, driven by the digital transformation sweeping across industries. Cloud-based API solutions dominate the market, enabling seamless communication and data transfer between applications and the cloud. This segment's dominance is attributed to the proliferation of IoT and Big Data, which enhance application interfaces for superior customer experiences. Additionally, the increasing awareness of security vulnerabilities and the demand for automation have fueled the market's expansion in sectors like BFSI, e-commerce, healthcare and life sciences, education, and retail. Cloud APIs facilitate the integration of various cloud and on-premises applications, simplifying API provisioning, activation, setup, monitoring, and troubleshooting for developers and administrators.

Agile development methodologies, such as DevOps and CI/CD, have further accelerated the adoption of cloud APIs. APIs have become essential components of modern application architectures, including microservices, event-driven, and real-time systems. GraphQL APIs and service meshes have emer

Open Banking API Market Outlook

According to our latest research, the global Open Banking API market size reached USD 5.4 billion in 2024, reflecting robust momentum driven by the digital transformation of the financial sector. With a strong compound annual growth rate (CAGR) of 23.7% forecasted for the period 2025 to 2033, the market is expected to surge to approximately USD 43.2 billion by 2033. This impressive growth trajectory is primarily fueled by the increasing demand for seamless digital banking experiences, regulatory mandates promoting open banking, and the rapid proliferation of fintech innovations globally. As per our latest research, Open Banking APIs are fundamentally reshaping the financial ecosystem by enabling secure data sharing and fostering collaborative financial services.

One of the key growth factors propelling the Open Banking API market is the regulatory push from governments and financial authorities across the globe. Regulatory frameworks such as the European Union’s PSD2, the UK’s Open Banking Initiative, and similar mandates in Australia and parts of Asia are compelling banks to open up their data to third-party providers via secure APIs. These regulations are designed to enhance competition, foster innovation, and improve customer choice in the financial sector. As a result, financial institutions are increasingly investing in API infrastructure to comply with these mandates, which is significantly accelerating the adoption and integration of Open Banking APIs across various financial services platforms.

Another significant driver is the evolving consumer demand for personalized and frictionless digital banking experiences. Modern customers are seeking greater control over their financial data, seamless multi-banking capabilities, and access to a broader suite of financial products and services. Open Banking APIs enable banks and fintechs to deliver such experiences by securely connecting disparate systems and facilitating real-time data exchange. The proliferation of smartphones and mobile banking apps has further accelerated this trend, as consumers now expect instant access to customized financial solutions, driving banks and third-party providers to innovate rapidly using open APIs.

The rapid advancement of financial technology (fintech) is also a major catalyst for the Open Banking API market. Fintech companies are leveraging open APIs to develop innovative solutions such as digital wallets, automated savings tools, personalized lending platforms, and advanced payment gateways. These innovations are not only enhancing customer engagement but also enabling banks to diversify their offerings and tap into new revenue streams. The collaborative ecosystem fostered by Open Banking APIs is thus breaking down traditional silos, promoting co-creation, and accelerating the pace of digital transformation within the financial services industry.

From a regional perspective, Europe continues to lead the Open Banking API market due to early regulatory adoption and a mature digital infrastructure. However, the Asia Pacific region is witnessing the fastest growth, driven by rapid fintech adoption, a large unbanked population, and supportive regulatory environments in countries like Singapore, Australia, and India. North America is also experiencing significant traction, particularly in the United States and Canada, where consumer demand for digital financial services is on the rise. Latin America and the Middle East & Africa are emerging markets with substantial growth potential as open banking frameworks gain traction and financial inclusion initiatives expand.

Component Analysis

The Open Banking API market by component is segmented into Solutions and Services. The Solutions segment comprises API platforms, data aggregation tools, and security solutions that enable banks and third-party providers to develop, manage, and secure open APIs. This segment is witnessing robust growth as financial institutions increasingly prioritize digital t

Success.ai offers a cutting-edge solution for businesses and organizations seeking Company Financial Data on private and public companies. Our comprehensive database is meticulously crafted to provide verified profiles, including contact details for financial decision-makers such as CFOs, financial analysts, corporate treasurers, and other key stakeholders. This robust dataset is continuously updated and validated using AI technology to ensure accuracy and relevance, empowering businesses to make informed decisions and optimize their financial strategies.

Key Features of Success.ai's Company Financial Data:

Global Coverage: Access data from over 70 million businesses worldwide, including public and private companies across all major industries and regions. Our datasets span 250+ countries, offering extensive reach for your financial analysis and market research.

Detailed Financial Profiles: Gain insights into company financials, including revenue, profit margins, funding rounds, and operational costs. Profiles are enriched with key contact details, including work emails, phone numbers, and physical addresses, ensuring direct access to decision-makers.

Industry-Specific Data: Tailored datasets for sectors such as financial services, manufacturing, technology, healthcare, and energy, among others. Each dataset is customized to meet the unique needs of industry professionals and analysts.

Real-Time Accuracy: With continuous updates powered by AI-driven validation, our financial data maintains a 99% accuracy rate, ensuring you have access to the most reliable and up-to-date information available.

Compliance and Security: All data is collected and processed in strict adherence to global compliance standards, including GDPR, ensuring ethical and lawful usage.

Why Choose Success.ai for Company Financial Data?

Best Price Guarantee: We pride ourselves on offering the most competitive pricing in the industry, ensuring you receive unparalleled value for comprehensive financial data.

AI-Validated Accuracy: Our advanced AI algorithms meticulously verify every data point to ensure precision and reliability, helping you avoid costly errors in your financial decision-making.

Customized Data Solutions: Whether you need data for a specific region, industry, or type of business, we tailor our datasets to align perfectly with your requirements.

Scalable Data Access: From small startups to global enterprises, our platform caters to businesses of all sizes, delivering scalable solutions to suit your operational needs.

Comprehensive Use Cases for Financial Data:

1. Strategic Financial Planning:

Leverage our detailed financial profiles to create accurate budgets, forecasts, and strategic plans. Gain insights into competitors’ financial health and market positions to make data-driven decisions.

1. Mergers and Acquisitions (M&A):

Access key financial details and contact information to streamline your M&A processes. Identify potential acquisition targets or partners with verified profiles and financial data.

1. Investment Analysis:

Evaluate the financial performance of public and private companies for informed investment decisions. Use our data to identify growth opportunities and assess risk factors.

1. Lead Generation and Sales:

Enhance your sales outreach by targeting CFOs, financial analysts, and other decision-makers with verified contact details. Utilize accurate email and phone data to increase conversion rates.

1. Market Research:

Understand market trends and financial benchmarks with our industry-specific datasets. Use the data for competitive analysis, benchmarking, and identifying market gaps.

APIs to Power Your Financial Strategies:

Enrichment API: Integrate real-time updates into your systems with our Enrichment API. Keep your financial data accurate and current to drive dynamic decision-making and maintain a competitive edge.

Lead Generation API: Supercharge your lead generation efforts with access to verified contact details for key financial decision-makers. Perfect for personalized outreach and targeted campaigns.

Tailored Solutions for Industry Professionals:

Financial Services Firms: Gain detailed insights into revenue streams, funding rounds, and operational costs for competitor analysis and client acquisition.

Corporate Finance Teams: Enhance decision-making with precise data on industry trends and benchmarks.

Consulting Firms: Deliver informed recommendations to clients with access to detailed financial datasets and key stakeholder profiles.

Investment Firms: Identify potential investment opportunities with verified data on financial performance and market positioning.

What Sets Success.ai Apart?

Extensive Database: Access detailed financial data for 70M+ companies worldwide, including small businesses, startups, and large corporations.

Ethical Practices: Our data collection and processing methods are fully comp...

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