Find out how innovations in Sentiment Analysis, AI and Machine Learning are impacting on and benefiting the Finance Sector...

Learn about the Stereoscopic Portfolio Optimization (SPO) framework and how it can be used to improve a quantitative trading strategy. Concepts such as Gaussian Mixture Models, K-Means Clustering, and Random Forests have also been reviewed....

This article talks about Market data, explains the basics of market data & talks about the role of various market data providers, services, feeds, & much more....

This story of Debutta serves as an inspiration and an ideal to all aspiring Quants who wish to be a part of Algorithmic and Quantitative Trading....

This article talks about the most asked questions about Algo Trading which were answered in the Ask Me Anything session about Algorithmic Trading by QuantInsti....

This article is about linear discriminant analysis and how it can be used within quantitative portfolio management....

Join us on the journey of Mr. Jim Woodward into the algorithmic trading domain from that of Real Estate post opting for QuantInsti’s EPAT™....

This article explains the current growth scenario of algorithmic trading and gives you a gist of what the future holds for new age trading technologies....

Rajib Ranjan Borah (CEO, iRage and QuantInsti) was invited for the panel discussion on ‘Data Science For Finance’ at Analytics In Markets (AIM 2018)...

This article introduces you to the theories & techniques in the Portfolio theory and arriving at the “MyPortfolio” model....