Quantitative Model Data: Best Quantitative Model Datasets & Databases
What is Quantitative Model Data?
Quantitative model data refers to numerical information used in mathematical models to analyze and predict outcomes. It involves collecting and analyzing data from various sources, such as financial markets, economic indicators, or scientific experiments. This data is used to create mathematical models that can simulate real-world scenarios and make predictions based on statistical analysis and mathematical algorithms.
Examples of Quantitative Model Data include stock prices, economic indicators, weather data, and demographic statistics. Quantitative Model Data is used for analyzing patterns, making predictions, and creating mathematical models to understand and forecast various phenomena. In this page, you’ll find the best data sources for quantitative model data.
Best Quantitative Model Databases & Datasets
Here is our curated selection of top Quantitative Model 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.
Quantitative Model Data | 3,300+ Global Issuers | Datasets for Quant Models | Quant-driven Portfolio Construction | Quantitative Risk Management
Quantitative Model Data | Company Data | Global Financial Data | 235K+ Sources / 3M+ Articles Daily | Quant
IvyDB Signed Volume - Options Data, Options Data, Derivatives Data, Quantitative Model Data and Intraday Option Order Flows Since 2016
InfoTrie Quantitative Data - 100+ economic indicators, historical coverage globally
Quantitative Model Data | Credit Quality | Bond Fair Value | 3,300+ Global Issuers | 80,000+ Bonds | Portfolio Construction | Risk Management
IvyDB Europe - Historical and EOD Options Data, Options Data, Dividend Data, Quantitative Model Data and Implied Volatility Data Since 2002
Quantitative stock investment research for US asset managers and financial advisors by Ziggma Analytics
Risk Modeling Data | 3,300 Global Issuers | Dataset for Portfolio Risk Modelling | Market-implied Credit Risk Modelling | Data for Inhouse Risk Models
EDI Equity Analytics Global of 60 equity derived data fields | 17 years Historic Data | Equities traded in 144 global exchanges
Asia Pacific | Insider Trading Data | 25+ Years Historic Data | Stock Market Data | Public Equity Market Data for Investment Management | Quant Data
Monetize data on Datarade Marketplace
Main Attributes of Quantitative Model Data
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The industry classification of a company. | View 12 datasets | |
| String | The name of a company or business, might be the legal or brand name. | View 12 datasets | |
| Integer | An unique identifier (ID) of a company. | View 11 datasets | |
| String | The International Securities Identification Number (ISIN). | View 10 datasets | |
| String | The name of a country. | View 7 datasets | |
| String | The country code in Alpha-2 format (ISO 3166) | View 6 datasets |
Frequently Asked Questions
Where Can I Buy Quantitative Model Data?
You can explore our data marketplace to find a variety of Quantitative Model 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 Quantitative Model Data Maintained?
The quality of Quantitative Model 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 Quantitative Model Data Updated?
The update frequency for Quantitative Model 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 Quantitative Model Data Secure?
The security of Quantitative Model 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 Quantitative Model Data Delivered?
Quantitative Model 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 Quantitative Model Data.
How Much Does Quantitative Model Data Cost?
The cost of Quantitative Model 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 Quantitative Model Data for your needs.
- Overview
- Datasets
- Attributes
- FAQ