Best Derivatives Datasets for Analyzing Financial Trends
Derivatives datasets refer to a category of data that encompasses information related to financial derivatives. These datasets provide comprehensive and up-to-date information on various types of derivatives, including options, futures, swaps, and forwards. They typically include details such as contract specifications, pricing data, trading volumes, open interest, and historical performance. Derivatives datasets are crucial for financial institutions, traders, and investors seeking to analyze market trends, assess risk, and make informed decisions in the derivatives market. By leveraging these datasets, users can gain valuable insights into the complex world of derivatives trading and effectively manage their investment strategies.
Recommended Derivatives Datasets
Grepsr| Car Rental Datasets from Car Rental Sites and Aggregators | Global Coverage with Custom and On-demand Datasets
EDI Derivatives Reference Data (>30 fields covered)
Cyrpto Derivatives Data - Kaiko Market Data. 10+ Exchanges Globally | 260K+ Futures, Options & Contracts | Prices | Volumes | Trades | Defi & Cefi
BIGDBM US Phone Quality Scores with Telecom Carrier Derived Deliverability
CoinAPI: Crypto Perpetual Data | Perpetual | Crypto Derivatives Data | Crypto Real-Time & Historical | CEX & DEX | Cryptocurrency Data | Leverage
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Unacast Consumer Travel History Data | U.S. & Global Location Datasets | Current & Historical
PREDIK Data-Driven: Geospatial Data | USA | Tailor-made datasets: Foot traffic & Places Data
Google Data, Google Image Data, Google Image API, Image Datasets, Annotated Imagery Data - Scrape all publicly available Google Image Data & SERP Data
Factori Audience Data| 1.2B unique mobile users in APAC, EU, North America and MENA
Alesco Automotive Data - Automotive Data - 242+ Million VIN Data points with 152+ Million Opt-In Emails - US based, licensing available
What are derivatives datasets?
Derivatives datasets refer to a category of data that encompasses information related to financial derivatives. These datasets provide comprehensive and up-to-date information on various types of derivatives, including options, futures, swaps, and forwards.
What information do derivatives datasets typically include?
Derivatives datasets typically include details such as contract specifications, pricing data, trading volumes, open interest, and historical performance. These data points are essential for analyzing market trends, assessing risk, and making informed decisions in the derivatives market.
Who benefits from using derivatives datasets?
Financial institutions, traders, and investors benefit from using derivatives datasets. These datasets provide valuable insights into the complex world of derivatives trading, allowing users to effectively manage their investment strategies and make informed decisions.
How can derivatives datasets be used?
Derivatives datasets can be used for various purposes, including market analysis, risk assessment, and investment strategy development. Users can leverage these datasets to identify market trends, evaluate the performance of different derivatives, and assess the potential risks associated with specific contracts.
Where can derivatives datasets be obtained?
Derivatives datasets can be obtained from various sources, including financial data providers, exchanges, and regulatory bodies. These sources offer comprehensive datasets that cover a wide range of derivatives and provide reliable and accurate information for analysis and decision-making.
Why are derivatives datasets important?
Derivatives datasets are crucial for understanding and navigating the derivatives market. They provide valuable information on contract specifications, pricing, trading volumes, and historical performance, enabling users to assess risk, analyze market trends, and make informed decisions in their derivatives trading activities.