Blog Archives

Machine Learning Modelling in R : : Cheat Sheet

March 22, 2018
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Machine Learning Modelling in R : : Cheat Sheet

I came across this excellent article lately “Machine learning at central banks” which I decided to use as a basis for a new cheat sheet called Machine Learning Modelling in R. The cheat sheet can be downloaded from RStudio cheat sheets repository. As the R ecosystem is now far too rich to present all available packages and […]

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Algorithmic trading is here to stay!

March 11, 2018
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Algorithmic trading is here to stay!

A foreword for the regular reader: this article has nothing to do with R With the increase of market “electronification”, algorithmic trading is becoming more and more popular. As a result, the regulator has paid a particular attention to this activity in the MIFID II regulation, designing a brand new set of rules. Market participants […]

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Visualizing Time Series Data in R

June 26, 2017
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Visualizing Time Series Data in R

I’m very pleased to announce my DataCamp course on Visualizing Time Series Data in R. This course is also part of the  Time Series with R skills track. Feel free to have a look, the first chapter is free! Course Description As the saying goes, “A chart is worth a thousand words”. This is why visualization […]

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Linking R to IQFeed with the QuantTools package

June 4, 2017
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Linking R to IQFeed with the QuantTools package

IQFeed provides streaming data services and trading solutions that cover the Agricultural, Energy and Financial marketplace. It is a well known and recognized data feed provider geared toward retail users and small institutions. The subscription price starts at around $80/month. Stanislav Kovalevsky has developed a package called QuantTools. It is an all in one package designed to enhance quantitative […]

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BERT: a newcomer in the R Excel connection

November 30, 2016
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BERT: a newcomer in the R Excel connection

A few months ago a reader point me out this new way of connecting R and Excel. I don’t know for how long this has been around, but I never came across it and I’ve never seen any blog post or article about it. So I decided to write a post as the tool is really […]

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Trading strategy: Making the most of the out of sample data

August 19, 2016
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Trading strategy: Making the most of the out of sample data

When testing trading strategies a common approach is to divide the initial data set into in sample data: the part of the data designed to calibrate the model and out of sample data: the part of the data used to validate the calibration and ensure that the performance created in sample will be reflected in the […]

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Introducing fidlr: FInancial Data LoadeR

April 21, 2016
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Introducing fidlr: FInancial Data LoadeR

fidlr is an RStudio addin designed to simplify the financial data downloading process from various providers. This initial version is a wrapper around the getSymbols function in the quantmod package and only Yahoo, Google, FRED and Oanda are supported. I will probably add functionalities over time. As usual with those things just a kind reminder: “THE SOFTWARE […]

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Maintaining a database of price files in R

December 13, 2015
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Maintaining a database of price files in R

Doing quantitative research implies a lot of data crunching and one needs clean and reliable data to achieve this. What is really needed is clean data that is easily accessible (even without an internet connection). The most efficient way to do this for me has been to maintain a set of csv files. Obviously this […]

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The Rise of the Robots (Advisors…)

August 15, 2015
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The Rise of the Robots (Advisors…)

The Asset Management industry is on the verge of a major change. Over the last couple of years Robots Advisors (RA) have emerged as new players. The term itself is hard to define as it encompasses a large variety of services. Some are designed to help traditional advisers to better allocate their clients money and some are […]

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R financial time series tips everyone should know about

July 7, 2015
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There are many R time series tutorials floating around on the web this post is not designed to be one of them. Instead I want to introduce a list of the most useful tricks I came across when dealing with financial time series in R. Some of the functions presented here are incredibly powerful but unfortunately buried in the […]

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