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Mutual Funds Data

Mutual funds data provides intelligence on combinations of securities. It is used by investors and traders in the securities markets to identify profitable portfolios and alpha generation opportunities. Datarade helps you access the best mutual funds data feeds and APIs.

Top Mutual Funds Data APIs, Datasets, and Databases

Find the top commercial Mutual Funds Data sets, feeds and streams.

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Intraday Data Analytics for ETF/ETP/ETCs traded on European exchanges - 1 Year

by Goldbaum
Intraday datasets and analytics for products trading on European exchanges. Our service provides datasets and measures based on iNAV/iCVs, prices, creations/redemptions and volumes.
Volume4K Financial security identification number (ISIN), 100K Financial security identification number (Exchange Symbol, CUSIP, WKN, SEDOL)
Quality100% Data Accuracy, 100% Analytics Accuracy
Country
Germany
United Kingdom
France
+ 6 others
History1 years of past data available
Use CaseTrading, Product Research + 3 more
Starts at
€5€4.50 / ISIN
10% Datarade discount
Free sample available
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Smart Static Datasets for ETF/ETP/ETCs traded on (Global Coverage) - Automatic Notifications System

by Goldbaum
Smart static datasets and information for products trading on global exchanges. Our service provides smart product categorisation. An automatic notifications system alerts you when material changes...
Volume4K Financial security identification number (ISIN), 100K Financial security identification number (Exchange Symbol, CUSIP, WKN, SEDOL)
Quality100% Data Accuracy, 100% System-ready
Country
USA
China
Japan
+ 246 others
History1 years of past data available
Use CasePredictive Analytics, Risk Management + 3 more
Starts at
€5€4.50 / ISIN
10% Datarade discount
Free sample available
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Regulatory, Legal and Marketing Documentation for ETF/ETP/ETCs (Global Coverage) - Automatic Notifications System

by Goldbaum
Documentation for products trading on global exchanges. Our service provides fund, market and index documents such as prospectus or factsheets. An automatic notifications system alerts you when doc...
Volume10M Documents
Quality100% Document Reconciliation, 100% System-ready
Country
USA
China
Japan
+ 246 others
History1 years of past data available
Use CasePortfolio Analysis, Investing + 3 more
Starts at
€1€0.90 / ISIN
10% Datarade discount
Free sample available
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Top Mutual Funds Data Providers, Vendors, and Companies

Find the top Mutual Funds Data aggregators, suppliers, and firms.

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Based in United States of America

Barchart is a leading provider of market data and services to the global financial, media, and commodity industries. Our solutions makes it easy for you to create your own financial products, tool...

Based in United States of America

Founded in 1985, Institutional Shareholder Services (“ISS”) empowers investors and companies by providing high-quality data, analytics, and insight. With nearly 2,000 employees, ISS is the world’s ...

Based in Luxembourg

Our API feeds packages of 100% accurate, system-ready, and up-to-date datasets and analytics (e.g. fund, market, index, ESG and smart) for ETFs/ETPs/ETCs and any other product traded on global exch...

Based in United States of America

ISS ESG is the responsible investment arm of Institutional Shareholder Services Inc., the world’s leading provider of environmental, social, and governance solutions for asset owners, asset manager...

Based in Canada

Quandl is a data provider offering Corporate Actions Data, Bond Pricing Data, Travel Intent Data, Alternative Data, Commodity Data, Mutual Funds Data, ETF Data, Swaps Data, Futures Price Data, Cred...

Based in United States of America

xignite is a data provider offering Bond Data, Corporate Actions Data, Bond Pricing Data, Fixed Income Data, Mutual Funds Data, ETF Data, Indices Data, Swaps Data, Futures Price Data, Fixed Income ...

Based in United States of America

FACTSET is a data provider offering Mutual Funds Data, ETF Data, Private Equity Data, Indices Data, Private Company Data, Merger & Acquisition Data, Company Data, Fixed Income Reference Data, Firmo...

Based in United States of America

Morningstar is a data provider offering Financial Institution Credit Rating Data, Commodity Data, Fixed Income Data, Mutual Funds Data, ETF Data, Indices Data, Company Data, Corporate Credit Rating...

Based in United Kingdom

Refinitiv is a data provider offering ESG Data, Financial Market Data, Merger & Acquisition Data, Corporate Actions Data, Securities Reference Data, Bond Pricing Data, Mortgage Data, Commodity Data...

The Ultimate Guide to Mutual Funds Data 2020

Learn everything about Mutual Funds Data. Understand data sources, popular use cases, and data quality.

What is Mutual Funds Data?

Mutual funds data is information on investment vehicles structured of funds pooled together by numerous investors, in a bid to invest the pooled resources into securities such as bonds, stocks, and money market instruments. Mutual funds data provides information on portfolios and portfolio performances, particularly historical returns, to existing investors, as well as projected yields on returns for potential investors.

How is Mututal Funds Data collected?

Data on mutual funds is usually collected the same way that most financial market data is collected. Various sources are involved in mutual funds data collection, including news aggregators, brokers, investors, traders, securities exchanges and markets, research firms and online services. The information from these sources is recorded and analyzed with a particular focus on the performances of the securities in a mutual fund. There is also the utilization of various tools, methods and measures such as graphs, figures, charts, statistics, news related to securities trading, market analytics, expert opinions, public records (especially information from regulatory instructions).

What are the typical attributes of Mutual Funds Data?

A mutual funds data should include the following:
Day returns: this refers to the change in the fund’s value in the last 24 hours or 2 days. It is updated daily.
Launch date: refers to the day the fund was started. An older fund is of less risk, considering it still exists after a period of time.
Category and sub-category of fund: the category and sub-category of the fund are determined by its main objective for being set up.
Returns 3Y: this is a backward projection of the fund to see how much yield it would have generated three years from the present date.
Risk: the probability of the fund not yielding investment returns.

What is Mutual Funds Data used for?

Mutual funds data is primarily useful in portfolio optimization. Selecting a profitable portfolio that is low in risk can be difficult. With information on risks, returns 3Y, grow ratio, category and sub-category, return and maturity provided by mutual funds data, it is easier to combine securities in a portfolio that yields profitable returns, while at the same time managing risk. Additionally, mutual funds data is essential for making investment decisions, as well as in making stock market predictions. Lastly, for analyzing portfolios, as a stock broker must do, mutual funds data proves extremely useful.

How can a user assess the quality of Mutual Funds Data?

Like any other financial market data, mutual funds data must be reliable. Users of this data must know they can rely on its accuracy to make decisions based on mutual funds information. Mutual funds data must also be timely. It must be updated regularly to reflect market conditions so as not to give outdated information. Mutual funds data must also be precise, leaving no room for errors or mistakes, as important investment decisions are to be made based on its information. Lastly, it must be relevant to the user’s desired use case.

Categories Related to Mutual Funds Data

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Popular Mutual Funds Data Use Cases

Find out the most common applications of Mutual Funds Data.