Blog Archives

How to Check Data Quality using R

August 31, 2016
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  By Milind Paradkar Do You Use Clean Data? Always go for clean data! Why is it that experienced traders/authors stress this point in their trading articles/books so often? As a novice trader, you might be using the freely available data from sources like Google or Yahoo finance. Do such sources provide accurate, quality data?... The post How...

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Shorting at High: Algo Trading Strategy in R

August 11, 2016
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Shorting at High: Algo Trading Strategy in R

By Milind Paradkar Milind began his career in Gridstone Research, building earnings models and writing earnings notes for NYSE listed companies, covering Technology and REITs sectors. Milind has also worked at CRISIL and Deutsche Bank, where he was involved in modeling of Structured Finance deals covering Asset Backed Securities (ABS), and Collateralized Debt Obligations (CDOs)... The post Shorting...

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Common R Programming Errors Faced by Beginners

June 6, 2016
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Common R Programming Errors Faced by Beginners

There are two ways to write error-free programs; only the third one works. – Alan Perlis Error messages can be intimidating for novice coders, and sometimes even for the experienced ones. Trying to decipher the error can be a time-consuming task. In this issue we look at some of the common errors that you can... The post

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Quantitative Trading Strategy Using R: A Step by Step Guide

January 20, 2016
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Quantitative Trading Strategy Using R: A Step by Step Guide

In this post we will discuss about building a trading strategy using R. Before dwelling into the trading jargons using R let us spend some time understanding what R is. R is an open source. There are more than 4000 add on packages,18000 plus members of LinkedIn’s group and close to 80 R Meetup groups... The post

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A Guide on R quantmod Package: How to Get Started?

October 12, 2015
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A Guide on R quantmod Package: How to Get Started?

“The quantmod package for R is designed to assist the quantitative trader in the development, testing, and deployment of statistically based trading models.” It is a rapid prototyping environment where enthusiasts can explore various technical indicators with minimum effort. It offers charting facilities that is not available elsewhere in R. Quantmod package makes modeling easier and analysis simple. This... The post

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An example of a trading strategy coded in R

October 6, 2015
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An example of a trading strategy coded in R

Back-testing of a trading strategy can be implemented in four stages. Getting the historical data Formulate the trading strategy and specify the rules Execute the strategy on the historical data Evaluate performance metrics In this post, we will back-test our trading strategy in R. The quantmod package has made it really easy to pull historical... The post

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How to Design Quant Trading Strategies Using R?

July 30, 2015
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How to Design Quant Trading Strategies Using R?

This blog covers in brief the concept of strategy back-testing using R. Before dwelling into the trading jargons using R let us spend some time understanding what R is. R is an open source. There are more than 4000 add on packages,18000 plus members of LinkedIn’s group and close to 80 R Meetup groups currently... The post

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