What is Stock Quote Data? Definition, Sources & Datasets to buy
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
What is Stock Quote Data?
Stock quote data refers to real-time or delayed information about the current trading price and other relevant details of a particular stock. It includes the stock’s ticker symbol, last traded price, bid and ask prices, trading volume, and other market-related data. This data is crucial for investors and traders to make informed decisions about buying or selling stocks.
Examples of stock quote data include the opening, high, low, and closing prices (OHLC data) for a specific stock over a given period. This data is used by investors, traders, financial analysts, and researchers to track stock performance, make investment decisions, conduct technical analysis, and monitor market trends. In this page, you’ll find the best data sources for stock quote data, including NSE API to get historical data.
Best Stock Quote Databases & Datasets
Here is our curated selection of top Stock Quote Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
Global Stock Market Data | Equity Market Data | 80K stocks | 150 pricing sources | Intraday Data
Dappier | Financial & Real-Time Stock Market Data | RAG API, LLM Compatible | Market & Exchange Search
AlgoSeek Equity Trade and Quote Data US coverage - nanosecond timestamps since 2016
Tradefeeds Stock Market Index API
Stock Market Index API by Finnworlds
Intraday Historical volatility, greeks and quotes
Ecommerce Product & Competitor Pricing Data | SKU Data Insights | Global Product Pricing Data | Unlimited Free Data Attributes | GDPR Compliant
Ecommerce Data & Ecommerce Product Data | Global Digital Shelf Data | Unlimited Free Data Points | Track Competitors & Best Sellers | GDPR Compliant
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Top Stock Quote Data Providers & Companies
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Exchange Data International
CoverageUSAUK+248With EDI you get high quality, affordable financial data customized to precisely fit your operational requirements.ISO9001CertifiedISO27001Certified1.5 mSecurities -
Cbonds
CoverageUSAUK+248VWe use the Cbonds API and are very satisfied with the data quality and the interface. Everything works smoothly, and the support has been reliable. We appreciate the service and look forward to continuing our cooperation.
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Dappier
CoverageUSAUK+248VAs the operator of HeyPAT, a leading AI agent for WhatsApp, Telegram and SMS, we couldn’t be more impressed with Dappier’s web search data model. It’s been a game-changer for our tool, enabling our end users to retrieve accurate, real-time data from the web. Since implementing Dappier, our AI agent has been able to keep pace with breaking stories and trending topics, ensuring our community of thousands stays informed and engaged. The precision of Dappier’s model has brought a new level of usability to HeyPAT, as our users know they can count on us for timely, up-to-the-minute info. If you’re looking to elevate your AI’s responsiveness and relevance, Dappier’s web search data model is a powerful solution.
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Finage
CoverageUSAUK+238Finage is a real-time stock, currency and cryptocurrency data provider company via API, WebSocket & Widgets. Easy, secure and affordable way to build financial applications and platforms for your business.%100Up-TimeLatency<1msUnlimitedRequests -
Intrinio
CoverageUSAIntrinio is a financial data partner powering innovators at financial institutions, startups, and universities by delivering high-quality data through cutting-edge tools designed for developers and engineers, via an automated data supply chain.
Popular Use Cases for Stock Quote Data
Stock Quote Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for Stock Quote Data.
Main Attributes of Stock Quote Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The name of a brand. | View 1 datasets | |
| String | The official website of a company. | View 1 datasets | |
| String | The full name of a contact (first, middle, and last name). | View 1 datasets | |
| String | The currency code as per ISO 4217. | View 1 datasets | |
| String | The International Securities Identification Number (ISIN). | View 1 datasets | |
| String | The Amazon Standard Identification Number (ASIN) of a product. | View 1 datasets |
Frequently Asked Questions
How is the Quality of Stock Quote Data Maintained?
The quality of Stock Quote Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Stock Quote Data Updated?
The update frequency for Stock Quote Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Stock Quote Data Secure?
The security of Stock Quote Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Stock Quote Data Delivered?
Stock Quote Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Stock Quote Data.
How Much Does Stock Quote Data Cost?
The cost of Stock Quote Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Stock Quote Data for your needs.
What Are Similar Data Types to Stock Quote Data?
Stock Quote Data is similar to other data types, such as Proprietary Market Data, Indices Data, Stock Fundamental Data, Intraday Stock Data, and Stock Price Data. These related categories are often used together for applications like Trading and Portfolio Analysis.
