Raltin - Financial Data Analytics & Research

Raltin - Financial Data Analytics & Research

How Does Raltin’s MLF Data Feed Help Investors?

Many institutional investors spend an inordinate time developing features to feed into their machine learning models. As Andrew Ng, the co-founder of Google Brain, said - “Coming up with features is difficult, time-consuming, requires expert knowledge. "Applied machine learning" is basically feature engineering.”

Raltin’s cross functional team of software engineers, data scientists, and financial domain experts have developed the most comprehensive set of features for your machine learning models.

Raltin’s MLF data feed offers three primary advantages to institutional investors:

What kind of features are included in Raltin’s MLF Data Feed?

Raltin’s MLF Data feed provides end of day updates across hundreds of features including:

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