This article covers the popular Quantiacs platform and the Python toolbox using which you can create, backtest and implement algorithmic trading strategies....

The conference featured expert workshops and talks on how one can overcome barriers to algorithmic trading, quantitative finance, and machine learning....

An exclusive conversation with a database research expert who decided to change his career to algorithmic research and EPAT™ helped him....

The article explains backtesting of the “52-Weeks High Effect in Stocks” trading strategy in R. The details of the strategy can be found on Quantpedia site....

Learn how to combine different quantitative strategies to create a multi-strategy portfolio, learn portfolio optimization and the benefits offered....

A webinar on Introduction to Machine Learning for Quantitative Finance...

This post gives few 5 simple steps to overcome the fear of programming usually faced by many beginners. Start programming now!...

This article gives a preview of the upcoming webinar on Mixture Models for forecasting Asset Returns, to be hosted by QuantInsti® and conducted by Brian Christopher....

This article explains how to use CBOE Volatility Index (VIX), Margin debt, and Mutual Fund cash position as sentiment indicators for trading in markets....

Complete RecordingCheck out the complete recording of the webinar here: Presentation SlidesCan we use Mixture...