Financial Market Data: Best Financial Market Databases & Datasets

What is Financial Market Data?

Financial market data or simply market data refers to information that is usually issued by a trading platform such as the stock exchange. It’s meant to keep traders updated about the most recent prices of financial instruments such as shares, derivatives, commodities, and currencies. This data is then used by investors and traders on a real-time basis to advance decisions about stock buying or selling on the financial markets. While real-time finance data is important, an overview of historical market data is also important in the sense that it helps traders and investors evaluate the trends of prices of various entities hence computing market risks on investment portfolios.

How is Financial Market Data collected?

Financial data collection and delivery is a time-sensitive undertaking that employs the use of specialized technologies. Data is collected directly from the stock trading markets and distributed by vendors who deliver it under various frequencies such as real-time, delayed, or end-of-day delivery. The delivery of collected finance market data is accomplished through broadcast, satellite, private line, VPN, or internet. Once this data is made available, users can access it through these third-party vendors through subscription whose price depends on the frequencies of delivery.

How big is the Financial Market Data industry?

Inclusive of all the subcategories of the financial market industry such as lending, investment management, insurance, brokerages, payments and fund transfer services, it is projected by financial experts that the global Financial Analytics Market size will grow from the 2018 value of USD 6.9 billion to 11.4 billion by 2023. Expert analysis therefore predicts the financial markets industry is so big to the extent that it exhibits a Compound Annual Growth Rate (CAGR) of 10.7%. The extent of growth of the financial market data industry has provided avenues for growth in the business for the provision of data analytics services for customers looking to buy financial market data. There has been exponential growth in the number of data marketplaces that specialize in finance market data, providing data to consumers either through finance market data subscriptions or one time purchase of financial datasets.

What are the attributes of Financial Market Data?

Financial market data allows users to see the latest prices of investment products, and to have a view of historical trends of data. As such, finance market data will generally have the following list of attributes:

• A product’s ticker symbol. This is an assortment of symbols that represent the identity of companies listed on the stock market.
• The most recent bid price. This is data that represents the price at which a dealer is willing to buy securities or other assets listed on the stock market.
• The most recent ask price. This data represents the lowest price a seller of a security is intending to accept for a share of that stock.
• The precise time of the last quote and trade, and also the price and quantity of the last sale.

What are the uses of Financial Market Data?

Financial market data is important for investors and traders on the stock exchange market for which they can make real-time decisions about trading opportunities on the stock market by assessing the current market data and the historical market data. Having a glimpse of the current and historical market standing gives investors a very important insight as far as projecting what the future holds in the financial markets, hence making the right decisions in buying and selling of stocks for maximum returns. Information about the current market standing is also an important barometric measure of a country’s economic well-being. Finance market data gives an overview of the general mood of a country’s economic situation.

What is Financial Market Data analysis?

In general terms, data analysis is a field of data science where the user aims to carry out detailed examination of a given dataset. When provided with the right criteria, data analysis is the process of scrutinizing and evaluating facets of historical and real-time data to yield the most valuable and precise insights. In the field of financial markets, data analysis is an important component that evaluates and points out factors that have a direct bearing towards financial trends, from stock prices, to consumer behavior. Through data analysis, investors and businesses make informed decisions as far as investment decisions are concerned. When purchasing financial market data, having a clear idea of the type of data analysis you plan to conduct is one of the ways that data users can determine the value of financial market data and make informed decisions when buying the data.

What is static data in finance?

In finance, static data refers to data elements which are unalterable. For instance, static data may pertain to financial product specifications and expiration dates, tick number, firmographic information such as company ownership, taxonomical information concerning counter-parties, and other supply chain partners. The opposite of static data is dynamic data, which changes according to systematic updates, such as stock price.

How does Market Data affect the financial industry?

The efficiency of trading on the financial markets is highly dependent on the amount of information about markets and the accessibility of this information. Market data therefore plays a crucial role in finance markets as it generates millions of pieces of information every day on financial markets at a global scale. Financial market data analysis largely influences financial industries through improved returns forecasting, prediction of levels of volatility of the financial market, estimation of market valuations, detailed risk analysis of given financial markets, management of portfolios, trade index performance, option pricing, idiosyncratic volatility and algorithmic trading. The effect of market data on financial industries is twofold: effects on market hypotheses, and effects on market dynamics.

What is Financial Market Data taxonomy?

Taxonomy of financial market data refers to a common hierarchical grouping of data analytics in financial markets to make it easier for these analytics to be comprehended and trusted within a given financial institution or setting. Given that financial markets data comes in different categories and forms as provided by financial market data vendors, proper data analysis of these various sub-categories of financial market information should be carried out, for example using quantitative research. For financial market investors who are considering buying financial market data online, taxonomical classification is a key component that ought to be taken into account when determining whether the price of a commercial financial market dataset is worthwhile for them. In data analytics, taxonomy is an enhanced way to separate valuable insights from excess information. In other words, financial market data taxonomy is a process that enables data buyers to focus on the specific dataset that is beneficial to their use case and needs.

What information is on a Financial Market Data dashboard?

A financial market data dashboard is an investment and business intelligence software system whose features comprise of powerful tools and insights that are designed to carry out financial tasks quickly and efficiently for everyday running of financial market-based businesses. The key information that is shown on financial markets dashboard include market operations, data concerning the trends in financial markets such as stock prices, and surveys and reports for global financial markets.

Where can I get a Financial Market Data dashboard?

Through subscription services or one-time payments, financial market data dashboards can be accessed by commercial financial market data providers. Commercial providers of these dashboards for financial market data are mostly leaders in investment and business intelligence solutions derived from big data analytics. These dashboards provide a range of financial data attributes, giving clients a comprehensive look at financial markets, and the opportunity to choose the right dataset for their specific needs.

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

Assessing the quality of financial market data is founded on two important aspects, the time factor, and the precision factor. Time is an important factor for a user to assess the quality of market data because of it’s far-reaching implications on financial trading decisions. The aspect of time of market data gives an investor an overview of changes in stock prices. Precision and the level of completion of market data is a quality aspect that can tell a user about how best the data captures the core attributes of financial markets.

Where can I buy Financial Market Data?

Data providers and vendors listed on Datarade sell Financial Market Data products and samples. Popular Financial Market Data products and datasets available on our platform are Historical Financial Data For 230M Companies Worldwide by BoldData, Coresignal | From the Largest Professional Network | Employee Data / Global / 577M Records / Fresh Data / 40 Months of Historical Data / Updated daily by Coresignal, and InfoTrie I-Feed API - real-time financial news updates, tickerized with 15 years history by InfoTrie.

How can I get Financial Market Data?

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

What are similar data types to Financial Market Data?

Financial Market Data is similar to Environmental Data, B2B Data, Energy Data, Real Estate Data, and Geospatial Data. These data categories are commonly used for Hedge Funds and Algorithmic Trading.

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

The top use cases for Financial Market Data are Hedge Funds, Algorithmic Trading, and Stock Market Predictions.