Today, I closed the Call side for about 60% of the max profit. My plan is to wait until Monday before taking any further action (either deploying a new Call spread or closing the Put spread for a loss, ideally with a little bounce upwards and a reduction in the volatility).
I don't like the idea of a Call spread so close to important technical supports, though.
In the unlikely case that you have followed this blog since its inception, you might have noticed that it contains different "learning notes" that I have compiled while learning different technologies and tools, all of the software related, which I wanted to share with anyone interested.
Apart from the software development, I have other hobbies, one of them being the stocks, derivatives and the markets in general. A while ago, I started learning about stock options trading and after some studying I began, at the start of 2017, performing some actual trades using the options over the DAX30 index (the index holding the 30 biggest traded German companies). They are called ODAX, by the way.
So today, I would like to introduce you the system I have followed for the better part of this year, which I would like to polish as I continue learning about stock options trading. Feedback is always welcome!
In our last post, we discussed on how could we execute Spark jobs in Zeppelin and then create nice SQL queries and graphs using the embedded SQLContext (provided along with the usual Spark context).
Today, we will see a way to populate your Spark RDDs/Data-Frames with data retrieved from a HTTP endpoint/REST service. We will focus on the parsing of the resulting JSON response. Additionally, we will also learn how to import additional libraries to Zeppelin.
It´s been a while since I wrote anything here (again) but I don´t have much free time nowadays. Currently I´m taking some training on Scala and Spark, which, by the way, brings us here today.
A recipe for quick prototypes for Data Analysis: Scala + Spark + Zeppelin
If you remember well, I wrote some time ago about some personal learning projects I was working into, which basically picked stocks price information from the Web (using Spring Integration) and ran a couple of Spark analysis that were lately displayed in an AngularJS interface.
Nothing complicated at all, but rather verbose and time consuming to set up, specially if you just want to learn the subject.