Stock Quote Data
Top Stock Quote Data APIs, Datasets, and Databases
Find the top commercial Stock Quote Data sets, feeds and streams.
Real-Time & Historical US Stock Data
|History||15 years of past data available|
Top Stock Quote Data Providers, Vendors, and Companies
Find the top Stock Quote Data aggregators, suppliers, and firms.
The Ultimate Guide to Stock Quote Data 2020
Learn everything about Stock Quote Data. Understand data sources, popular use cases, and data quality.
Table of Contents
- What is Stock Quote Data?
- How is Stock Quote Data collected?
- What are the attributes of Stock Quote Data?
- What is Stock Quote Data used for?
- How can a user assess the quality of Stock Quote Data?
- Who are the best Stock Quote Data providers?
- Where can I buy Stock Quote Data?
- How can I get Stock Quote Data?
- What are similar data types to Stock Quote Data?
- What are the most common use cases for Stock Quote Data?
What is Stock Quote Data?
On a stock exchange market, prices of trading stocks are quoted to give information about the bid and ask the price of the share, the last traded price, and the definite volume of the stocks traded. Therefore, a stock quote is a projected price at which one party is willing to buy or sell a given number of shares. Stock quote data is essentially displayed at the market in conjunction with other additional information about high and low prices for a given share in a given day of trading and its intrinsic shift in value.
How is Stock Quote Data collected?
As the stock market records trading data, this information is collected and compiled by licensed financial data vendors that make this data available to investors, through online means. Investors have access to this stock quote data online or on mobile devices that include smartphones. Furthermore, a number of internet portals and websites offer stock quote data. These internet portals range their prices for the access of this information based on the accessibility. Historical tock quote data is offered at no charge via news platforms, while real-time stock quote data is offered to clients who have subscription plans to the data provider.
What are the attributes of Stock Quote Data?
The pieces of information included in a stock quote dataset when a buyer or seller places an order for a given stock include the security of interest, the price, and the number of shares that are available for buying or selling.
The bid and ask price of a share indicated on a stock quote data refers to the highest bid price and the lowest ask price for the stock in question. On the other hand, some stock quote data will also indicate the number of shares that are present for trading. Another attribute of stock quote data is the field that indicates the last trade that shows the price at which the last buy or sell was executed. The opening price features indicate the price of the stock that was recorded at the convening of the day’s trading.
What is Stock Quote Data used for?
Stock quote data feeds are necessary sources of information that provide information to stock market investors about the price fluctuations of securities on a stock market. In a nutshell, the price value that is displayed on a stock quote is a key indicator of buying and selling activity that has a direct bearing on the direction of the value of given trading security. At the beginning of each trading day, news and industry trends associated with given security can affect the perceptions of investors about the stock and prompt them to make choices about the stock. Positive news about the stocks can drive the price high as more investors buy into the company. The fluctuations in stock value and prices are replicated in the stock quote data that investors and other watchers of the company can use to make informed investment decisions.
How can a user assess the quality of Stock Quote Data?
In decoding the quality of stock quote data, users ought to evaluate the following aspects:
• Level of completion – the stock quote dataset shouldn’t have any missing values.
• Accuracy and correctness – the stock quote data ought to match the company reality of which it represents and not include biased information.
• Timeliness – the stock quote data should be up-to-date and available on-demand to give investors a real-time overview of the stock price as affected by the real-time market forces.
Who are the best Stock Quote Data providers?
Finding the right Stock Quote Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Stock Quote Data providers that you might want to buy Stock Quote Data from are Barchart, Nikkei Market Data, QuoteMedia, 1Forge, and Nasdaq Market Data Feeds.
Where can I buy Stock Quote Data?
Data providers and vendors listed on Datarade sell Stock Quote Data products and samples. Popular Stock Quote Data products and datasets available on our platform are Real-Time & Historical US Stock Data by Finage.
How can I get Stock Quote Data?
You can get Stock Quote Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Stock Quote Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Stock Quote Data APIs, feeds and streams to download the most up-to-date intelligence.
What are similar data types to Stock Quote Data?
Stock Quote Data is similar to Short Interest Data, Stock Fundamental Data, Intraday Stock Data, Stock Price Data, and Securities Reference Data. These data categories are commonly used for Stock Market Predictions and Stock Quote Data analytics.
What are the most common use cases for Stock Quote Data?
Popular Stock Quote Data Use Cases
Find out the most common applications of Stock Quote Data.