Quantitative Model Data: Best Quantitative Model Datasets & Databases
- Overview
- Datasets
- Providers
- Attributes
- FAQ
- Overview
- Datasets
- Providers
- Attributes
- FAQ
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 | Credit Quality | Bond Fair Value | 3,300+ Global Issuers | 80,000+ Bonds | Portfolio Construction | Risk Management
SDG (Sustainable Development Goals) Impact Data | Sustainability Data | 14k+ Companies
Risk Modeling Data | 3,300 Global Issuers | Dataset for Portfolio Risk Modelling | Market-implied Credit Risk Modelling | Data for Inhouse Risk Models
Historical Crypto Data: Cryptocurrency Archive for Research, Backtesting and Market Analysis
PredSearch | Web Search Data, Keyword Data, Online Search Trends Data | Amazon, Google, TikTok - 2 years history | Global coverage | +500k/w keywords
PowerMap U.S. | Order flow Analytics data
CropProphet Modeler: Historical Corn, Soybean, Winter Wheat Yield & Production Forecasts for USA
ISTARI.AI | Sustainability Data | Global Coverage | 20+ Attributes | 40M+ Verified Company Profiles
Sustainable Finance Disclosure Regulation (SFDR) Principal Adverse Impact (PAI) Data
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Top Quantitative Model Data Providers & Companies
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Lucror Analytics
CoverageUSAUK+248Backed by over a decade of experience, Lucror Analytics provides high-quality, independent fundamental credit and ESG data as well as fixed income data derived from proprietary quant algorithms and models. Our insights empower investors to make confident, data-driven investment decisions.100+Customers99%Data Accuracy4bnData Points -
Datago Technology Limited
CoverageUSAUK+248Founded in 2016, Datago is a FinTech company specializing in massive alternative datasets, including news, reports, and social media. By leveraging AI and big data technologies, we deliver machine-readable data services tailored for capital markets across Asia and emerging markets worldwide.95%Client Retention10Years of Sustained Growth100+Research Papers Supported -
Smart Insider
CoverageUSAUK+247Smart Insider: Global leader in Insider Data. We cover 90% of global market cap for over 55,000 listed stocks. Our investment-grade data, scrutinised by our analysts, ensures accuracy, and includes derived fields for in-depth analysis, on insider trades, corporate buybacks, and director changes.95%Global Coverage25 yearsHistoric DataReal TimeData Reporting -
Moat
CoverageUSAUK+248Moat draws on global patent, litigation, and market data to create time aware data products to understand the value, risk, and drivers of company innovation.GlobalTime AwareDaily -
Quant IP
CoverageUSAUK+247We give business and financial experts access to the information treasure hidden in global data bases. We discover technology trends and make it possible to benchmark the innovative strength of companies. We quantify innovation and clear the view for the technology landscape of the future.60.000listed companies500.000non-listed companies30 yearsback test data point in time -
Topstonks
CoverageUSATopstonks is a data provider offering Stock Market Data, Cryptocurrency Data, Social Media Data, Alternative Data, and 3 others. They are headquartered in United States of America.
Main Attributes of Quantitative Model Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The name of a company or business, might be the legal or brand name. | View 7 datasets | |
| String | The International Securities Identification Number (ISIN). | View 4 datasets | |
| Integer | An unique identifier (ID) of a company. | View 3 datasets | |
| String | The industry classification of a company. | View 3 datasets | |
| String | The name of a country. | View 3 datasets | |
| String | The name of a brand. | View 1 datasets |
Frequently Asked Questions
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.
