By layering qualitative insight on top of our quantitative data, you can tell a complete story of consumer sentiment, helping to validate or inform your marketing strategy for maximum impact.

Strauts: Quantitative Rating is a machine-learning model, which is meant to mimic how our analysts would rate a fund if they're actually covering that fund.

Quant Data LLC, which was launched on August 1, 2020, has created an easy to use algorithmic platform, Quant Data, which shows the minute-to-minute options flow of the market.

Data-driven decision-making: Quantitative investment strategies rely on mathematical models and algorithms, arguably reducing the influence of emotions and biases in investment decisions.

As far as data is concerned, for good reason, quantitative data is what most brands look for to improve themselves. Don't forget about qualitative data, though, as it's equally important.

Relying on quantitative data can overlook the human element of consumer behavior, leading marketers to miss out on valuable insights only qualitative data can provide.

Steven Cress is the head of Quantitative Strategies at Seeking Alpha. He explains quant investing and how it provides such robust investment analysis.

Incorporating quantitative strategies into a portfolio can provide several benefits, including increased diversification and risk management, and the ability to make data-driven investment decisions.

The total AUM of domestic quant funds rose nearly 180 times in five years. Can eliminating human emotions of greed and fear help fund managers consistently outperform the market?