This post will begin to experiment with long-term directional detection using relationships between two FRAMA indicators. By observing the relationship … Continue reading →

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In a previous post I showed how to use R, Knitr and LaTeX to build a template strategy report. This post goes a step further by making the analysis interactive. Besides the interactivity, the Shiny App also solves two problems : I can now access all my trading strategies from a single point regardless of the instrument traded.

The question one should always asked him/herself when using technical indicators is what would be an objective criteria to select indicators parameters (e.g., why using a 14 days RSI rather than 15 or 20 days?). Genetic algorithms (GA) are well suited tools to answer that question. In this post I’ll show you how to set

I’ve been looking for template reports using R and Knitr for a while but I didn’t find anything that suits my needs so far. I therefore decided to create them myself. What I like to see about trading strategies are basic performance charts (daily, monthly and yearly), some basic trading statistics and above all most

by Joseph Rickert In a post last week, I offered some first impressions about R/Finance 2013. Apparently, I was way off in estimating that 30% of the attendees were academics. The R/Finance organizers were quick to point out that percentage of academics attending the conference has been a constant 10% over the years; and this year was no different....