Finnhub is the ultimate stock api in the market, providing real-time and historical price for global stocks with Rest API and websocket. We also support a tons of other financial data like stock fundamentals, analyst estimates, fundamental data and more. Download the file to access balance sheet of Amazon.

API Crude Oil Stock Change in the United States decreased to -4.60 BBL/1Million in March 21 from 4.59 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.

Global Shares Data Reference data on more than 80K stocks worldwide. Historical data from 2000 onwards. Pay only for the parameters you need. Flexible in customizing our product to the customer's needs. Free test access as long as you need for integration. Reliable sources: issues documents, disclosure website, global depositories data and other open sources. The cost depends on the amount of required parameters and re-distribution right.

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.

We monitor 20+ years of history and track companies' (public and private) profiles and financial statements such as income statements, balance sheets, cash flow, earnings reports, and more supporting custom use cases:

1. Extensive Coverage: Access detailed financial data, including income statements, balance sheets, cash flow, and key metrics across 60+ global equity markets.
2. Rich Data Set: Benefit from over 20 years of historical financial data, including stock fundamentals, insider trading, and proprietary market data.
3. Comprehensive Insights: We've got you covered, from raw feed to advanced and custom access for equity profiles and market movements!
4. Seamless Integration: Retrieve stock fundamental data via API/SFTP with customizable fields and formats for flexible integration and tailored analysis.
5. Trusted by Professionals: Used by financial institutions, asset managers, analysts, and researchers to gain insights into financial health and market dynamics.
6. Secure & Compliant: Ensure secure, globally compliant data access, enabling seamless integration into your systems while adhering to local regulations.

Empower smarter investment decisions with comprehensive stock fundamental data solutions.

Book a meeting here: https://calendar.app.google/4UEQVKsuSiTM4JxB8 to gain immediate access to refreshed stock fundamental data APIs today.

Get Nasdaq real-time and historical data with support for fast market replay at over 19 million book updates per second. Test our data for free with only 4 lines of code.

Nasdaq TotalView-ITCH is a proprietary data feed that disseminates full order book depth and last sale data from the Nasdaq stock market (XNAS). It delivers every quote and order at each price level, along with any event that updates the order book after an order is placed, such as trade executions, modifications, or cancellations. Nasdaq is the most active US equity exchange by volume and represented 13.03% of the average daily volume (ADV) as of January 2025.

With its L3 granularity, Nasdaq TotalView-ITCH captures information beyond the L1, top-of-book data available through SIP feeds and enables more accurate modeling of book imbalances, trade directionality, quote lifetimes, and more. This includes explicit trade aggressor side, odd lots, auction imbalance data, and the Net Order Imbalance Indicator (NOII) for the Nasdaq Opening and Closing Crosses and Nasdaq IPO/Halt Cross—the best predictor of Nasdaq opening and closing prices available. Other key advantages of Nasdaq TotalView-ITCH over SIP data include faster real-time dissemination and precise exchange-side timestamping directly from Nasdaq.

Real-time Nasdaq TotalView-ITCH data is included with a Plus or Unlimited subscription through our Databento US Equities service. Historical data is available for usage-based rates or with any subscription. Visit our pricing page for more details or to upgrade your plan.

Breadth of coverage: 20,329 products

Asset class(es): Equities

Origin: Directly captured at Equinix NY4 (Secaucus, NJ) 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, BBO-1s, BBO-1m, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics, Status, Imbalance Learn more

Resolution: Immediate publication, nanosecond-resolution timestamps

API Distillate Stocks in the United States increased to 3.20 BBL/1Million in January 3 from -1.70 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.

PredictLeads offers a robust data solution specifically tailored for venture capital and private equity firms, delivering critical insights into the financing landscape. Our platform provides B2B intent data and company funding data to help investors identify early-stage growth signals, discover promising startups, and monitor industry trends.

With VC funding data, investors gain access to comprehensive details on companies backed by venture capital, spanning various funding stages. Our alternative data offers unique insights into emerging market trends, allowing firms to enhance their investment strategies. Investor data further supports firms by revealing competitor movements, enabling co-investment opportunities, and deepening insight into investor networks.

Key Features of PredictLeads Financing Events Data:

➡️ Comprehensive Company Funding Data: Access detailed insights on funding rounds, including investment amounts, types, and investors, to understand market opportunities. ➡️ Real-Time and Historical Funding Insights: Leverage up-to-date and historical B2B intent data to track funding trends and optimize investment timing. ➡️ Competitor and Market Analysis: Combine B2B intent data with financing information for in-depth analysis of competitor activity and market shifts. ➡️ Web Scraping Data for Accuracy: Our data is sourced from over 152,000 reliable sources, ensuring timely and accurate information for investor analysis. ➡️ Enhanced Personalized Outreach: Target companies with recent investments, including VC and PE-backed firms, to develop effective, personalized engagement strategies.

PredictLeads delivers a comprehensive financing events dataset designed to help venture capital (VC) and private equity (PE) firms track funding rounds, investment trends, and emerging startups. By leveraging real-time and historical company funding data, investors can identify early-stage opportunities, analyze competitor moves, and optimize deal sourcing strategies.

Use Cases: ✅ Deal Tracking – Spot companies in active funding rounds to identify investment-ready startups. ✅ Market Research – Monitor sector growth, investor activity, and funding trends to stay ahead of the market. ✅ Competitor Analysis – Analyze funding events of competitors and portfolio companies to assess market positioning. ✅ Investor Outreach – Target VC and PE-backed companies for co-investment and partnership opportunities. ✅ CRM Enrichment – Integrate company funding data into CRM systems for personalized investment insights.

Key API Attributes: - id (string, UUID) – Unique identifier for the financing event. - effective_date (ISO 8601 date-time) – Date when the investment was made. - found_at (ISO 8601 date-time) – Timestamp of when the event was detected. - categories (array of strings) – Funding round types (e.g., "series_a", "venture"). - financing_type (string) – Type of funding event (e.g., "Series A", "Private Equity"). - amount (string) – Investment amount (e.g., "$50M"). - amount_normalized (integer) – Investment amount in numeric format (e.g., 50000000). - source_urls (array of URLs) – Links to articles confirming the funding event. - company (object) – The funded company, including its domain and company name. - investors (array of objects) – List of investors involved in the financing round.

📌 Used by top VC and PE firms to drive data-driven investment strategies and gain a competitive edge in deal sourcing.

API Example: https://docs.predictleads.com/v3/api_endpoints/financing_events_dataset

Currency and split-adjusted pricing data across open, close, high, low, volume, adjustment factor, shares outstanding, volume-weighted average price and other data points.

Databento provides upcoming and historical corporate actions impacting over 310,000 global securities, including every company announcement and 61 events like dividends, splits, mergers & acquisitions, listings, and more.

Dividends: Upcoming and past dividends, declaration, ex-dividend, record, and payment dates.

Forward and reverse splits: Capital changes like forward splits and reverse splits with effective dates.

Adjustment factors: To back-adjust end-of-day prices, EPS, P/E and other prices for all corporate actions.

Mergers and acquisitions: Ticker changes caused by mergers, acquisitions, demergers, spinoffs, and more.

IPOs and new listings: Upcoming and historical listings like initial public offerings (IPOs), with listing dates.

Listing continuity: Listing continuity events like name changes, delistings, and description changes.

Capital changes: Such as share buybacks, redemptions, bonus issues, and rights issues.

Legal actions: Legal issues like bankruptcy and class action lawsuits, with filing and notice dates.

Announcements: Machine-readable announcements from over 400 sources, timestamped to the second.

Our reference API has the following structure:

Corporate actions provides point-in-time (PIT) corporate actions events with global coverage.

Adjustment factors provides end-of-day price adjustment factors for capital events, spanning multiple currencies for the same event.

BatchData's Property Data API offers comprehensive access to 600+ unique data points given a specific residential or commercial address. This includes property characteristics, construction details, sales & loan information, MLS data, valuation, equity, tax profiles, liens, updated daily.

CoinAPI provides institutional-grade perpetual contract data from leading crypto derivatives exchanges worldwide. Our specialized perpetual data feeds capture the essential metrics traders need: mark prices, funding rates, open interest figures, and trading volumes across all major trading pairs.

We deliver this critical perpetual market data with professional-level precision, allowing traders to monitor funding rate changes that impact position costs, track open interest shifts that signal market sentiment, and identify volume patterns that precede significant price movements. This level of detail helps trading desks capitalize on the unique mechanics of perpetual markets where funding rates create distinct opportunities.

Why work with us?

Market Coverage & Data Types: - Real-time and historical data since 2010 (for chosen assets) - Full order book depth (L2/L3) - Tick-by-tick data - OHLCV across multiple timeframes - Market indexes (VWAP, PRIMKT) - Exchange rates with fiat pairs - Spot, futures, options, and perpetual contracts - Coverage of 90%+ global trading volume

Technical Excellence: - 99,9% uptime guarantee - Multiple delivery methods: REST, WebSocket, FIX, S3 - Standardized data format across exchanges - Ultra-low latency data streaming - Detailed documentation - Custom integration assistance

In a market that never sleeps, reliable data is your most valuable asset. CoinAPI's architecture processes millions of market events daily with 99.9% uptime, ensuring you never miss critical market movements. Join hundreds of financial institutions already leveraging our solutions to navigate the dynamic world of digital assets.

Breadth of coverage: 14,160 products

Asset class(es): Equities

Origin: Directly captured at Equinix NY4 (Secaucus, NJ) 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, Imbalance Learn more

Resolution: Immediate publication, nanosecond-resolution timestamps

This dataset provides values for API CRUDE OIL STOCK CHANGE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

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.

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.

Gain data-driven insights for informed investment decisions. Access market sentiment data since 2013 and customize the API for seamless integration. Maximize your stock market understanding with comprehensive analytics on global stock indices, and public and private companies. Analyze sentiment trends and investor behavior with confidence.

Sample Dataset - Historical News Sentiment data for your reference.

Key Features:

1. Tick-by-Tick Sentiment: Access detailed market dynamics with tick-by-tick sentiment data.
2. Custom API: Request a customizable API covering over 70,000 tickers, including major FX, commodities, topics, and people.
3. Proven Expertise: Trust our track record since 2013 for historical data on long-term sentiment patterns.
4. Uncover Hidden Insights: Gauge investor sentiment and reveal market opportunities with the custom API.
5. Real-Time Benchmarks: Enhance your strategies with real-time sentiment indicators.
6. Customizable and Flexible Delivery: Tailor the dataset to your requirements and integrate seamlessly into your workflows.

Gain a competitive edge with InfoTrie's Historical Tick-by-Tick Stock Market Sentiment Data. Request access now to elevate your investment strategies and make data-driven decisions.

More information on : https://infotrie.com/sentiment-analysis/

According to Cognitive Market Research, the global Financial Data Service market size will be USD 24152.5 million in 2024. It will expand at a compound annual growth rate (CAGR) of 8.50% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 9661.00 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.7% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 7245.75 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 5555.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.5% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 1207.63 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.9% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 483.05 million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.2% from 2024 to 2031.
Datafeed/API solutions are the dominant segment, as they allow seamless data integration into existing systems and platforms, making them ideal for companies requiring real-time data across multiple applications

Market Dynamics of Financial Data Service Market

Key Drivers for Financial Data Service Market

Increased Data-Driven Decision-Making to Boost Market Growth

As digital transformation sweeps through financial services, data-driven decision-making has become essential for businesses to remain competitive. Institutions, both financial and non-financial, are increasingly leveraging financial data to guide strategic investments, manage risks, and streamline operations. By utilizing real-time data and predictive analytics, companies gain actionable insights to optimize their investment portfolios and financial planning. With the enhanced capability to analyze data trends and assess market scenarios, businesses can mitigate risks more effectively, making this driver critical to the growth of the financial data service market. For instance, in September 2022, Alibaba Cloud, the digital technology and intellectual backbone of Alibaba Group launched a comprehensive suite of Alibaba Cloud for Financial Services solutions. Comprising over 70 products, these solutions are designed to help financial services institutions of all sizes across banking, FinTech, insurance, and securities, digitalize their operations

Advancements in Analytics Technology to Drive Market Growth

The integration of advanced analytics technologies like artificial intelligence (AI) and machine learning (ML) in financial data services has significantly enhanced the accuracy and scope of market insights. AI and ML enable companies to process vast amounts of financial data, identify patterns, and make predictions, thus facilitating strategic planning and investment optimization. These technologies also allow for real-time insights, giving firms a competitive advantage in rapidly evolving markets. With continuous improvements in AI and ML, the demand for advanced data services is expected to grow, positioning this as a key driver of market expansion.

Restraint Factor for the Financial Data Service Market

High Cost of Data Services, will Limit Market Growth

The high cost associated with premium financial data services is a significant restraint, particularly for small and medium-sized enterprises (SMEs). Many advanced platforms and data feeds come with substantial subscription fees, limiting their accessibility to larger organizations with more considerable budgets. This cost barrier restricts smaller firms from fully integrating advanced data insights into their operations. As a result, high subscription costs prevent widespread adoption among SMEs, hindering the financial data service market’s overall growth potential.

Impact of Covid-19 on the Financial Data Service Market

Covid-19 significantly impacted the Financial Data Service Market as companies increasingly relied on accurate data analytics for rapid decision-making amid market volatility. During the pandemic, financial data providers observed heightened demand for real-time and historical data to model economic scenarios and assess risks accurately. This shift spurred technological advancements a...

Real Estate Information - Parcel Level Data. Only active parcels are included in this data set. The "ParcelNumber" field can be joined to the "ParcelNumber" field in the "Parcel Area Details" data set for mapping purposes.Please refer to this Data Guide for details on how to access and join Real Estate data

Global trade data of Stock lot under 48052590, 48052590 global trade data, trade data of Stock lot from 80+ Countries.