Excel & R For Trading

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

This R weekly bulletin by QuantInsti® illustrates how to sort a data frame, call function in R, create time series object and also covers important R functions....

We are starting with R weekly bulletins which will contain some interesting ways and methods to write codes in R and solve bugging problems. We will also cover R functions and shortcut keys for beginners. We understand that there can be more than one way of writing a code in R, and the solutions lis…...

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

Learn backtesting trading strategies in excel and learn to backtest the Long-Short Moving Average Crossover Strategy (MACD) in simple steps....

Learn how to build the “Hello World” of trading strategies: the “Long Short Moving Average Crossover Strategy”....

In this post we will discuss about building a trading strategy using R. There are more than 4000 add on packages,18000 plus members of LinkedIn’s group and close to 80 R Meetup groups currently in existence....

Index tracking trading is a strategy where you observe price on the previous ‘n’ candlesticks and make your bets accordingly. The intuition is that MSCI FUTURES follows the ETF....

In this post, we will back-test our trading strategy in R. The quantmod package has made it really easy to pull historical data from Yahoo Finance....

R is a perfect open-source tool for back-testing and statistical data analysis, here we are discussing about basic concept of strategy back-testing using R....