Derivatives Reference Data: Definition, Sources & Datasets to buy

Derivatives reference data includes standardized information about derivatives, such as options and futures, useful for market operations. This page features a guide and selected derivatives reference data providers.
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Eugenio Caterino
Editor & Data Industry Expert

What is Derivatives Reference Data?

Derivatives reference data is essential information and attributes associated with derivative financial instruments. It includes details such as instrument identifiers, contract specifications, pricing parameters, and legal documentation. This data is crucial for accurate trade processing, risk management, regulatory compliance, and reporting purposes in the derivatives market.
Derivatives Reference Data includes information about various derivative instruments such as options, futures, and swaps. Examples of Derivatives Reference Data include contract specifications, pricing data, settlement terms, and trading information. This data is used by financial institutions, traders, and regulators to analyze and value derivative products, monitor market activity, and ensure compliance with regulatory requirements. In this page, you’ll find the best data sources for Derivatives Reference Data.

Best Derivatives Reference Databases & Datasets

Here is our curated selection of top Derivatives Reference Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.

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Frequently Asked Questions

Where Can I Buy Derivatives Reference Data?

You can explore our data marketplace to find a variety of Derivatives Reference Data tailored to different use cases. Our verified providers offer a range of solutions, and you can contact them directly to discuss your specific needs.

How is the Quality of Derivatives Reference Data Maintained?

The quality of Derivatives Reference Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.

How Frequently is Derivatives Reference Data Updated?

The update frequency for Derivatives Reference Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.

Is Derivatives Reference Data Secure?

The security of Derivatives Reference Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.

How is Derivatives Reference Data Delivered?

Derivatives Reference Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Derivatives Reference Data.

How Much Does Derivatives Reference Data Cost?

The cost of Derivatives Reference Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Derivatives Reference Data for your needs.

Eugenio Caterino

Eugenio Caterino

Editor & Data Industry Expert @ Datarade

Eugenio is an editor and data industry expert with over a decade of experience specializing in B2B data marketplaces and e-commerce platforms. He has a strong background in data analytics, data science, and data management. Eugenio is passionate about helping companies leverage data and technology to drive innovation and business growth, ensuring they can easily and efficiently access the solutions they need.

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