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...

This post covers some of the R programming best practices that can be implemented by programmers to improve code readability, consistency, and repeatability....

This post covers the basics of XGBoost machine learning model, along with a sample of XGBoost stock forecasting model using the “xgboost” package in R programming....

This post explains the architecture of IBrokers R implementation in Interactive Brokers API which allows executing orders in the IB Trader Workstation (TWS)....

Trend-following strategy based on the indicators like MACD, SuperTrend, and ADX coded in Python, which is a part of EPAT™ coursework at QuantInsti®....

Complete RecordingCheck out the complete recording of the webinar here: About the eventQuantInsti will be...

Trading using R on Interactive Brokers The session would be covering Installing R-studio IDE Reference sheet for the IBroker Package....

Implied Volatility: From Theory to Practice Volatility is a cornerstone concept in options trading, and...