Articles by R programming

R Weekly Bulletin Vol – IX

May 20, 2017 | R programming

This week’s R bulletin will cover topics on how to list files, extracting file names, and creating a folder using R. Hope you like this R weekly bulletin. Enjoy reading! Shortcut Keys 1. Run the current chunk – Ctrl+Alt+C 2. Run the next chunk – Ctrl+Alt+N 3. Run the current ...
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R Weekly Bulletin Vol – VIII

May 12, 2017 | R programming

This week’s R bulletin will cover topics on plotting charts like saving the plot, adding a grid, and plotting multiple data sets in a single plot. Hope you like this R weekly bulletin. Enjoy reading! Shortcut Keys 1. Run current document – Ctrl+Alt+R 2. Run from document beginning to current ...
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R Weekly Bulletin Vol – VII

May 6, 2017 | R programming

This week’s R bulletin will cover topics like how to create a sequence of dates, how to add a number to a date and time variable and converting a date in American format to a standard format. Hope you like this R weekly bulletin. Enjoy reading! Shortcut Keys 1. Run ...
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R Weekly Bulletin Vol – VI

April 29, 2017 | R programming

This week’s R bulletin will cover topics like how to parse milliseconds in R, how to format dates and method to extract specific parts of date and time. Hope you like this R weekly bulletin. Enjoy reading! Shortcut Keys 1. Indent – hit Tab button at beginning of the line 2. Outdent – ...
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Overcome the Fear of Programming

April 27, 2017 | R programming

By Milind Paradkar You say you never programmed in life before? Never heard of words like Classes and Objects, Dataframe, Methods, Inheritance, Loops? Are you fearful of programming, huh? Don’t be! Programming can be fun, stimulating, and once you start and learn to program many of you would love ...
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R Weekly Bulletin Vol – V

April 21, 2017 | R programming

This week’s R bulletin will cover topics like how to avoid for-loops, add or shorten an existing vector, and play a beep sound in R. We will also cover functions like env.new function, readSeries, and the with and within functions. Hope you like this R weekly bulletin. Enjoy ...
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R Weekly Bulletin Vol – IV

April 15, 2017 | R programming

This week’s R bulletin will cover topics like removing duplicate rows, finding row number, sorting a data frame in the same order, sorting a data frame in different order, and creating two tabs in an excel workbook. We will also cover functions like Sys.time, julian, and the second & ...
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R Best Practices: R you writing the R way!

April 13, 2017 | R programming

By Milind Paradkar Any programmer inevitably writes tons of codes in his daily work. However, not all programmers inculcate the habit of writing clean codes which can be easily be understood by others. One of the reasons can be the lack of awareness among programmers of the best practices followed ...
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R Weekly Bulletin Vol – III

April 7, 2017 | R programming

This week’s R bulletin will cover topics like how to read select columns, the difference between boolean operators, converting a factor to a numeric and changing memory available to R. We will also cover functions like data, format, tolower, toupper, and strsplit function. Hope you like this R weekly ...
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Forecasting Markets using eXtreme Gradient Boosting (XGBoost)

April 5, 2017 | R programming

By Milind Paradkar In recent years, machine learning has been generating a lot of curiosity for its profitable application to trading. Numerous machine learning models like Linear/Logistic regression, Support Vector Machines, Neural Networks, Tree-based models etc. are being tried and applied in an attempt to analyze and forecast the ...
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R Weekly Bulletin Vol – II

March 30, 2017 | R programming

This week’s R bulletin will cover functions calls, sorting data frame, creating time series object, and functions like is.na, na.omit, paste, help, rep, and seq function. Hope you like this R weekly bulletin. Enjoy reading! Shortcut Keys 1. To show files – Ctrl+5 2. To show plots – Ctrl+6 3. To show ...
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R Weekly Bulletin Vol – I

March 24, 2017 | R programming

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 ...
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Forecasting Stock Returns using ARIMA model

March 9, 2017 | R programming

By Milind Paradkar “Prediction is very difficult, especially about the future”. Many of you must have come across this famous quote by Neils Bohr, a Danish physicist. Prediction is the theme of this blog post. In this post, we will cover the popular ARIMA forecasting model to predict returns on ...
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[WEBINAR] Trading in Live Markets using R

February 6, 2017 | R programming

Trading using R on Interactive Brokers The session would be covering the following aspects: Installing R-studio IDE Reference sheet for the IBroker Package – https://cran.r-project.org/web/packages/IBrokers/IBrokers.pdf TWS configuration Viewing account information details in R Downloading historical data in R Printing real-time data on R ...
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How to Check Data Quality using R

August 31, 2016 | R programming

  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 ... [Read more...]

Shorting at High: Algo Trading Strategy in R

August 11, 2016 | R programming

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), ... [Read more...]

Common R Programming Errors Faced by Beginners

June 6, 2016 | R programming

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 ... [Read more...]

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

October 12, 2015 | R programming

“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. ... [Read more...]
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