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Best Financial Market Datasets
What is Financial Market Data?
Financial Market Data refers to the exchange of securities. Sources make a comparison between Data Vendor and Fast Data Provider. It provides the information of trading like a stock exchange. These trading platforms provide updated data to the traders. Financial Market Data is an essential part of the growth and development of a nation.
Financial Market Data reported by a trading venue. It is Finance (Price) and Trade-related information. It helps to know the historical and present market data of equity, stock, inventories, products, currencies. This data is collected from the stock trading markets.
Financial Market Data required by many users nowadays to take the right decision for their business. We at Web Scrape provides accurate Financial Market Data scraping service in a very prompt manner. We take the scraping service to a completely new level. We have the largest database Of Financial Market Data. You can buy Financial market Datasets and APIs at a low-cost from Web Scrape for the analysis. We provide you real-time data which helps in pushing your business.
Subcategories of Financial Market Data:
- Alternative Data
- Commodity Data
- Core Financial Data
- Currency Data
- Debt Capital Structure Data
- Delayed Market Data
- Derivatives Data
- Economic Data
- Equity Market Data
- ESG Data
- Estimates Data
- Filings Data
- Financial Entities Data
- Fixed Income Data
- Fund Data
- Implied Volatility Data
- Indices Data
- Interest Rate Data
- Merger & Acquisition Data
- Mutual Funds Data
- OTC Data
- Proprietary Market Data
- Real-Time Market Data
- Reference Data
- Share Market Data
- Stock Market Data
- Trading Data
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Best Financial Market Data Providers
What are the Most Common Types of Financial Market Data?
Alternative Data refers to financial instruments. Alternative Data is information about any company, that is unfolded by other sources which outside of the company. It is mostly used by Hedge Fund managers and other institutional investment industries that are related to the investment company. Location data, Satellite data, ESG, News Sentiment, Weather data, Credit Card data, etc. are included in Alternative Data.
Commodity Data is related to the Commodity market. It is used for understanding the commodity market and gaining insights into buying and selling commodities. It is the information of the activities of commodities in the international market like price fluctuation, national products, buyers, sellers, and other special factors. It is used for Portfolio Optimization, Trading, Assets Management, Increase profit on investment, and investment decisions.
Core Financial Data
Core Financial Data refers to Enterprise's Financial position. Investors use Core Financial Data to analyze the Financial market. These data may have Historical, Real-time, or Future values of finance. It includes Account Payable, Accounts Receivable, Fixed Assets, Project Accounting, Project Costing & Building, Purchasing Functionality, Financial Analytics, and Reporting Capabilities.
Currency Data especially refers to the difference between two different currencies. It also refers to the market exchange rate of the currency. It is mostly used for international business. Currency Data is also used for Risk management calculation, Predict changes in the market by highlighting different currency trends.
Debt Capital Structure Data
Debt Capital Structure Data refers to the global company's Debt information. It calculates the total corporate credit scoring. It is used to get information about the total debt of companies. Debt Capital Structured Data is collected from the company's internal Financial Statements.
Delayed Market Data
Delayed Market Data is one type of exchange data that is typically offered by a market data vendor. These data are available for instruments for which you do not currently hold market data subscriptions. It is publicly available on some time lag.
Derivative Data is Intelligence concerning instrument value in the financial market. Stock, Bonds, Commodities, Currencies, Interest Rates, Market indexes are underlying assets of Derivatives Data. Derivative Data mostly used by Investors, Traders, and Trading Platforms. It is used to gain insight into Financial Market performance, Portfolio optimization, avoid unreasonable risk, analyze future predictions of the performance of securities in the market.
Economic Data refers to the economic performance and stability of any firm or business. To understand how economies function and develop in a specific region or country, Micro and Macro-analysis are used. It contains economic facts and figures. These data are collected on a periodic basis.
Equity Market Data
Equity Market means the market, in which a company's shares are issued and traded. This market data information provided in Equity Market Data. Equity Market Data used by Brokers, Investors, and Traders. It is used for finding the best Equity market places and making final market reports. It includes equity share price, share price fluctuation, market trend. It shows the effects of the changes on the economy.
ESG Data means information about Environmental, Social, and Governance factors. This data used to evaluate companies' business practices to make effective investment decisions. Source makes the comparison between ESG data provider and Fast vendor. It is mostly used by investment firms and hedge funds.
Estimate Data refers to asset prices from markets across the world. It is collected by the economic analysts for the purpose of analysis, making predictions, forecasting the price of different companies and portfolios. It is one type of approximation process.
Filings Data are collected from the company's files. It provides information to users about Mergers and Acquisition (M&A), Tender offers Purchase, Corporate releases. Filing is one type of documentary proof of financial responsibility. Investors and Financiers use Filing Data to select portfolios effectively by accessing perfect information.
Financial Entities Data
Financial Entities Data refers to public and private companies and their connection with the subsidiaries and manager. Financial Entities are used to tracking any changes that affect investment and manager decisions.
Fixed Income Data
Fixed Income Data refers to the investment arrangement of fixed assets. It is mostly used by investors and analysts to analyze risk and for portfolio management. Investors may be repaid or prepaid fixed rate of interests or dividend of the company. Fixed Income Data provides the information about terms and conditions of bonds and securities.
Fund Data provides all information about the particular money, which is specially allotted or set aside for any specific purpose. Fund pools are usually invested and managed professionally by financiers to generate alpha. It used to predict future fund value. Mutual fund, equity fund, index fund, hedge, and other financial instruments are included in the Fund.
Implied Volatility Data
Implied Volatility refers to future price changes or moves of securities. It is mostly used by investors and traders to take advantage of future supply and demand, future price changes in securities. They can gain their profits by optimizing their portfolio.
Indices Data is one of the parts of Financial Market Data. An Index measures a group or assets using standardized methodology. Indices Data mostly used by investors and companies to predict market trends or market price or market decisions for effective decision making.
Interest Rate Data
Interest Rate Data refers to the rate of interest of creditors charges. It is calculated on an annual basis and in percentage. Interest Rate Data generally used by individuals and businesses. It is collected by the country's central bank. The Interest Rate is based on Time.
Merger & Acquisition Data
Merger & Acquisition (M&A) refers to M & A deals among the companies. In the M & A data, there are deals date, completion of deals, and parties are included. It results in the consolidation of assets and liabilities under one entity. Merger & Acquisition Data generally used by companies. It is used for analyzing marketing trends and areas for investments.
Mutual Funds Data
Mutual Fund Data refers to the intelligence in securities combination. Mutual Fund is a professional investment fund. To identify profitable portfolios and to generate profit, it is used in the security market by investors and traders. These data are collected from the security market, brokers, investors, research firms, etc.
OTC means Over-the-Counter. OTC Data provides information about unlisted securities, which are traded on the OTC market. It provides financial market intelligence. It collects from either the first or second or third party. It is mostly used by financial market investors to make well-informed investments.
Proprietary Market Data
Proprietary Market Data refers to the Proprietary trading and Proprietary trading market. It is mostly used by traders and businesses. It is used to analyze market trends. It provides historical intelligence, which helps to analyze long-term market trends.
Real-Time Market Data
Real-Time Market Data provides updated price or volume of that stock, which trades on the exchange. It helps to take the next step in a present decision. It is collected from the brokers and exchanges. It is mostly used by businesses and traders.
Reference Data provides information of specific given data. It is used to save businesses from risky investments and borrowings and also in data management. It is used by debt holders and traders and businesses. Reference Data is used to categorize other data. eg. Reference asset data provides information about a given asset.
Share Market Data
Share Market Data is also known as Stock Market Data. It refers to the group of market details, in which trade of shares and publicly issued share actions occur. It also refers to current market trends. It is used by Shareholders, companies, and traders.
Stock Market Data
Stock Market Data is financial market data. It relates to the historical, real-time, or future values of equities. It is used by investors to analyze the stock market and take investment decisions. It is generally used by investors, market research agencies, and traders. It collects from various sources like stock market research firms, brokers, public records, etc.
Trading Data refers to real-time stock and market price, fixed-income products data, currencies, derivatives. It is used by investors and traders to make trading decisions. It is collected from the stock exchange. It provides the right information at the right time.
How to Use Financial Market Data?
Example of the Most Common Use Cases for Financial Market Data
In the stock exchange market, Financial Market Data is very important to the investors and traders for taking real-time decisions of selling and buying stocks with the maximum returns. It is the way to know about Historical Market Data or Current Market Situations. These data also provide information on the Country’s economic situation.
With the help of Financial Market Data, an Investor or Individual can calculate market risk portfolios on investments. It also used to compare two or more business data and make necessary changes in such business strategies. This data keeps the business updated with all the ups and downs of the financial market.
Examples of Financial Market Data Attributes
Typical Financial Market Data Attributes
Financial Market Data provides the latest prices of the investment products and also historical data trends. Buyers get the required financial information and the seller gives its information to the market by Financial Market Data.
Financial Market Data has the product’s ticker symbol, the most recent bid price, the most recent ask price, price, and quantity of the last sale.
Financial Market Data includes all this information in the dataset – primary and new issues, trade, clearing, investment management, security leading, investment research, settlement, etc.
These data help to represent the identity of companies, prices of the securities and assets, price and quantity of the last sale, etc.
Similar Data Types Of Financial Market Data
- Environmental Data
- B2B Data
- Energy Data
- Real Estate Data
- Geospatial Data
Most Common Use Cases For Financial Market Data
- Hedge Funds
- Stock Market Predictions
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