R Weekly Bulletin Vol – II
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....
Excel & R For Trading
Use R and/or Spreadsheets to create algorithms for trading. Ready to use templates and codes are available for downloads. Various quantitative strategies are shared as examples.
R Weekly Bulletin Vol - I
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…...
Backtesting Long Short Moving Average Crossover Strategy in Excel
Learn how to build the “Hello World” of trading strategies: the “Long Short Moving Average Crossover Strategy”....
Trading with ETF as a Lead Indicator
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....
Momentum Based Strategies for Low and High Frequency Trading
QuantInsti held a comprehensive webinar session on Momentum Trading Strategies. Mr. Nitesh Khandelwal, discusses momentum trading in Low and High frequency trading....
Candlestick Trading - A Momentum Strategy with Example
Candlestick trading with the example of INR FUTURES data on SGX. It is a momentum strategy where you observe price on the previous ‘n’ candlesticks and make your bets accordingly....
An Example Of A Trading Strategy Coded Using Quantmod Package In R
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....
Pair Trading Strategy
Pair trading is a trading strategy that matches a long position in one stock/asset with an offsetting position in another stock/asset that is statistically related...
How to Design Quant Trading Strategies Using R?
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....