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 Datasets & APIs
Opoint Quantitative Data | Company Data | Global Financial Data | 235K+ Sources / 3M+ Articles Daily / 185 Languages / 220 Jurisdictions | Quant
Quantitative stock investment research for US asset managers and financial advisors by Ziggma Analytics
OptionMetrics IvyDB Europe - Historical and EOD Options Data, Prices and Implied Volatility Data Since 2002
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
OptionMetrics IvyDB Signed Volume - Options Data and Intraday Option Order Flows Since 2016
Africa & Middle East | Insider Trading Data | 25+ Years Historic Data | Stock Market Data | Public Equity Market Data for Investment Management
Quant IP Data Set Package 3 (Emerging Markets) All Cap
OptionMetrics IvyDB Signed Volume - Options Data and End of Day Option Order Flows Since 2016
