Buy Share Market Data

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Based in USA
ClosingBell is a data provider offering Alternative Data, Share Market Data, and Stock Market Data. They are headquartered in United States of America.
Dow Jones Factiva
Based in USA
Dow Jones Factiva
Dow Jones Factiva is a data provider offering Business Listings Data, Consumer Identity Data, Identity Graph Data, News Data, and 3 others. They are headquar...
Shenzhen Stock Exchange (SZSE)
Based in China
Shenzhen Stock Exchange (SZSE)
Shenzhen Stock Exchange (SZSE) is a data provider offering Proprietary Market Data and Share Market Data. They are headquartered in China.

The Ultimate Guide to Share Market Data 2021

Learn about share market data analytics, sources, and collection.

What is Share Market Data?

A share market is a point where buying and selling of shares take place. A stock is a unit of representation of ownership of the company where a trader bought it. When an investor buys shares, they are investing in the company. If the company grows, the price of these shares also grows in value. At this point, an investor can decide to sell these shares and generate a profit. Therefore, based on these facts, share market data presents information about the trading of these company shares on the stock exchange markets hence giving potential investors an overview of current market trends. An overview of current market trends can help investors make decisions on whether to buy, sell, or retain shares. Share market financial activities are carried out through established formal exchanges or over-the-counter (OTC) marketplaces that are guided by set rules and regulations.

How is Share Market Data collected?

In the stock trading markets, highly advanced computer software and hardware systems referred to as ticker plants, are designed to handle data collection and throughput of massive data streams. Ticker plant offers a real-time display of stock prices for traders and feeds the computerized trading systems at high speeds to enable the capturing of opportunities before market shifts. These systems also have an in-process design that empowers them to store data for historical market data as a time series data. This data is then amassed by financial data vendors who then provide this share market data to financial firms, traders, and investors.

What are the attributes of Share Market Data?

Share market data consists of the opening and closing prices of stocks for a given trading period. Market data shows the available securities of government agencies, corporate companies, and semi-government companies. Share market data also highlights an overview of second-hand securities that includes bonds and shares that have previously been announced by the listed companies.

What are the uses of Share Market Data?

Stock market data acts as an economic barometer that shows the state of a given economy. Share market data shows all the trends in share prices in terms of major or minor changes in an economy. Share market data is also a critical indicator of the valuation of securities based on the forces of supply and demand. The valuation of stocks is a crucial aspect of stock trading that helps creditors, investors, and the government in executing their core functions. Furthermore, share market data assists in keeping the general public aware of the available equity investments hence encouraging a culture of investment in equity markets. Once this data is processed, investors can also use it as a scope for speculation that promotes healthy investment and saving habits.

How can a user assess the quality of Share Market Data?

Users can evaluate market data quality by taking into account two aspects, examining the quality of the channel itself and secondly, assessment of the actual market data. In assessing the channel quality, users can determine components of the trading channel in terms of the amount of bandwidth the market data is consuming, the level of microbursts the data channel can capture, whether the channel has sequence gaps, and any evidence of missing packets. On the other hand, users can evaluate the quality of share market data itself by considering the time aspect when it is made available. A dataset that offers real-time data streaming of the share market gives the stakeholders an up-to-date overview of market trends. For instance, being able to spot instantaneous price movements that are not normal can a long way in saving investors huge sums of money that could otherwise be lost if they did not have a real-time overview of the market.

Who are the best Share Market Data providers?

Finding the right Share Market Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Share Market Data providers that you might want to buy Share Market Data from are ClosingBell, Dow Jones Factiva, and Shenzhen Stock Exchange (SZSE).

Where can I buy Share Market Data?

Data providers and vendors listed on Datarade sell Share Market Data products and samples. Popular Share Market Data products and datasets available on our platform are Edge by Ascential⎢Market Share for Amazon⎢Amazon Data for Asia, Europe & North America by Edge by Ascential and ThinkCX | Carrier and ISPs Telecom Market Share Data TeleBreakdown for North American by ThinkCX.

How can I get Share Market Data?

You can get Share Market Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Share Market 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 Share Market Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Share Market Data?

Share Market Data is similar to Stock Market Data, Alternative Data, ESG Data, Merger & Acquisition Data, and Proprietary Market Data. These data categories are commonly used for Investing and Trading.

What are the most common use cases for Share Market Data?

The top use cases for Share Market Data are Investing, Trading, and Risk Management.