Best Equity Market Datasets for Comprehensive Analysis
Equity market datasets refer to comprehensive collections of data related to the stock market. These datasets typically include information on various equity instruments such as stocks, exchange-traded funds (ETFs), and indices. They provide valuable insights into the performance, trading activity, and historical trends of these financial instruments. Equity market datasets often encompass a wide range of data points, including historical prices, trading volumes, market capitalization, dividend yields, and other fundamental and technical indicators. These datasets are utilized by financial institutions, investment firms, and data analysts to conduct research, develop trading strategies, and make informed investment decisions in the dynamic and ever-changing world of equity markets.
Recommended Equity Market Datasets
Global ETF Market Data | Equity Market Data | 9K ETF | 30 pricing sources
Woodseer Forecast Dividend Data - Dividend Data, Alternative Data, Derivatives Data, Equity Market Data, Stock Market Data and Equities & ADRs
Africa & Middle East | Insider Trading Data | 25+ Years Historic Data | Stock Market Data | Public Equity Market Data for Investment Management
Equity market data | Institutional Holder portfolio | Over 10,000 Wealth Managers steak in public companies | 7K+ stocks | Historical & Real Time
InfoTrie Delayed Market Data - Over 70k + Stocks, 150+ equity markets globally
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Global Private Equity (PE) Funding Data | Refreshed 2x/Mo | Delivery Hourly via CSV/JSON/PostgreSQL DB Delivery | Company Data
Private Equity (PE) Funding Data | Global Investment Professionals | Contact Details for Fund Managers | Best Price Guaranteed
Company Data, Startup Data | Scrape publicly available Company Datasets | Global B2B company Datasets 2024 | Best Startup Database
TagX - Stock market data | End of Day Pricing Data | Shares, Equities & bonds | Global Coverage | 10 years historical data
EDI Equity Analytics Global of 60 equity derived data fields | 17 years Historic Data | Equities traded in 144 global exchanges
What are equity market datasets?
Equity market datasets refer to comprehensive collections of data related to the stock market. These datasets typically include information on various equity instruments such as stocks, exchange-traded funds (ETFs), and indices. They provide valuable insights into the performance, trading activity, and historical trends of these financial instruments.
What kind of data is included in equity market datasets?
Equity market datasets often encompass a wide range of data points, including historical prices, trading volumes, market capitalization, dividend yields, and other fundamental and technical indicators. These datasets provide a wealth of information that can be used for analysis and research purposes.
Who uses equity market datasets?
Equity market datasets are utilized by financial institutions, investment firms, and data analysts to conduct research, develop trading strategies, and make informed investment decisions in the dynamic and ever-changing world of equity markets. These datasets are essential tools for professionals in the finance industry.
How are equity market datasets used?
Equity market datasets are used in various ways. They can be used to analyze historical trends and patterns, identify potential investment opportunities, backtest trading strategies, and assess the performance of different equity instruments. These datasets provide valuable insights that help investors and analysts make informed decisions.
Where can I access equity market datasets?
Equity market datasets can be accessed through various sources. Some financial data providers offer subscription-based services that provide access to comprehensive datasets. Additionally, there are free sources available that provide limited datasets for basic analysis. It is important to choose a reliable and reputable data provider for accurate and up-to-date information.
Are equity market datasets customizable?
Yes, equity market datasets can be customized to meet specific needs. Depending on the data provider, users may have the option to select specific equity instruments, time periods, and data points of interest. Customization allows users to focus on the data that is most relevant to their research or investment strategies.