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R Best Practices: R you writing the R way!
This post covers some of the R programming best practices that can be implemented by programmers to improve code readability, consistency, and repeatability....
6 min read
Forecasting Markets using eXtreme Gradient Boosting (XGBoost)
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....
8 min read
Architecture Explained of R Package for IB - IBrokers
This post explains the architecture of IBrokers R implementation in Interactive Brokers API which allows executing orders in the IB Trader Workstation (TWS)....
7 min read
Strategy Using Trend-Following Indicators: MACD, ST And ADX [EPAT PROJECT]
Trend-following strategy based on the indicators like MACD, SuperTrend, and ADX coded in Python, which is a part of EPAT™ coursework at QuantInsti®....
10 min read
How to Use Financial Market Data for Fundamental and Quantitative Analysis | Webinar
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....
3 min read
Trading in Live Markets using R | Webinar
Trading using R on Interactive Brokers The session would be covering Installing R-studio IDE Reference sheet for the IBroker Package....
1 min read
Implied Volatility: From Theory to Practice | Webinar
Implied Volatility: From Theory to Practice Volatility is a cornerstone concept in options trading, and...
2 min read
Career Development - Jobs In Algorithmic and HFT Trading | Webinar
This webinar offers a unique chance for attendees to interact with a team of Quants & HFT developers on a one-to-one level and ask career-related queries you might have....
3 min read
Implementing Pairs Trading Using Kalman Filter [EPAT PROJECT]
This project work explains the implementation of a Pairs Trading strategy using Kalman Filter in Executive Programme in Algorithmic Trading (EPAT™) Course....
6 min read
