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....
Watch this webinar on using Mixture Models to predict market bottoms, understand return distributions, design trading strategies, and evaluate performance with practical insights....
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®....
Join this expert-led webinar to learn fundamentals trading, high-frequency data analysis, futures insights, and a step-by-step pairs trading strategy with real-world applications....