Buy Derivatives Data

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Exchange Data International
Based in United Kingdom
Exchange Data International
With EDI you get high quality, affordable financial data customized to precisely fit your operational requirements.
ISO9001
Certified
ISO27001
Certified
Tick Data
Based in USA
Tick Data
Tick Data is a data provider offering Corporate Actions Data, Currency Data, Derivatives Data, Forex Data, and 5 others. They are headquartered in United Sta...
OCC
Based in USA
OCC
OCC is a data provider offering Derivatives Data, Futures Data, Options Data, and Options Price Data. They are headquartered in United States of America.
Quandl
Based in Canada
Quandl
Quandl is a data provider offering Alternative Data, Bond Data, Bond Pricing Data, Commodity Data, and 17 others. They are headquartered in Canada.
xignite
Based in USA
xignite
xignite is a data provider offering Alternative Data, Bond Data, Bond Pricing Data, Corporate Actions Data, and 14 others. They are headquartered in United S...
Bloomberg
Based in USA
Bloomberg
Bloomberg is a data provider offering Automotive Data, Bond Data, Bond Pricing Data, Commodity Data, and 19 others. They are headquartered in United States o...

The Ultimate Guide to Derivatives Data 2021

Learn about derivatives data analytics, sources, and collection.

What is Derivatives Data?

Derivatives data is a sub-category of financial market data. This type of data refers to information that is generated from the value of various instruments in the financial market. These instruments include the prices of commodities and their natures, currencies, stocks and stocks indices, bonds and many other securities being traded in the financial market. Derivatives data is based on the performances of the instruments in the financial market, and it can be used to gain insights on the market.

How is Derivatives Data collected?

Derivatives data is collected through various sources. These sources include market research firms, securities exchanges, news aggregators, brokers, traders, online services and investors. These sources all record and analyze the performances of earlier mentioned market instruments or entities, and the data compiled is what we refer to as derivatives data. These sources utilize 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) and information gotten from brokers and traders (from day to day market activities). This data is then compiled into accurate derivatives datasets.

What are the typical attributes of Derivatives Data?

Derivatives data feeds possess an extensive list of attributes. Because it concerns the financial market and the trading of numerous securities, derivatives data combines all of the attributes of the financial and stock markets performances. If you’re looking to buy derivatives datasets, then the attributes you should look out for include:
• Bidding attributes: derivatives data contains the bidding prices and asking prices of securities in the financial markets, which in turn is determined by their performances
• Trading Attributes: data on the details of trading activities for particular periods
• Financial ratios: financial ratios are concerned with the analysis on the performances of securities

What is Deriviatives Data used for?

Derivatives data is mostly important in the aspect of optimizing portfolios. Portfolio optimization involves the selection of securities and financial market instruments, combining them to achieve the best returns or yields when investments have been made on them. Since derivatives data is centered on the derived performances of the aforementioned securities, then it is these same performances that are used to avoid unreasonable risk. Derivatives data helps to analyze the information from datasets, and predict the future performances of the selected securities in the market in order to make a profitable portfolio that has the lowest risk as is possible.

How can a user assess the quality of Derivatives Data?

The best derivatives data will possess the following quality aspects. Derivatives data should be:
• Relevant: for derivatives data to be considered of best quality, it needs to serve the purpose of providing information on the particular security its user requires it for i.e. be relevant to its use case.
• Reliable: the information obtained from derivatives data needs to be trustworthy at all times. This is because derivatives data is used to optimize portfolios, and any misinformation can lead to a wrong combination of assets.
• Authentic: derivatives data must be based on figures and facts, not subjective opinions and preferences.

Who are the best Derivatives Data providers?

Finding the right Derivatives Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Derivatives Data providers that you might want to buy Derivatives Data from are Exchange Data International, Tick Data, OCC, Quandl, and xignite.

Where can I buy Derivatives Data?

Data providers and vendors listed on Datarade sell Derivatives Data products and samples. Popular Derivatives Data products and datasets available on our platform are EDI Derivatives Reference Data (>30 fields covered) by Exchange Data International, EDI Derivatives End-of-Day Pricing Data - Global Coverage by Exchange Data International, and NCFX Forward FX Reference Rates - Live Forex Data for North & South America, Europe, Africa & Oceania by New Change FX.

How can I get Derivatives Data?

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

What are similar data types to Derivatives Data?

Derivatives 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 Portfolio Optimization.

What are the most common use cases for Derivatives Data?

The top use cases for Derivatives Data are Portfolio Optimization.