Hi. I'm Ran Aroussi. Father, husband, entrepreneur, trader and a technology geek.

This site's goal is to be an outlet where I share random blurbs on tech, finance and life. My thoughts are my own and any comments I make regarding trading or programming should be taken with a grain of salt.

TL;DR

I started my first business at the age of 17, entered the technology and marketing space in 1998, founded the world's first performance marketing school in 2005, and gained my "street cred" with the multi-million dollar launch of PPC Bully in 2009.

I use my decades of software development and data-science experience to actively research and develop algorithmic trading strategies using quantitative and machine learning models.

CAREER OVERVIEW

I'm an autodidact computer programmer, who's started programming in the late '80s, after getting an IBM PC as a Bar-Mitzvah present. In 1995 I started a web development firm, which, as the online landscape evolved, transformed into a technology and marketing company.

I have extensive experience with frontend and backend development, SQL/NoSQL/In-Memory database administration, *NIX server configuration for high load applications, and programming using Python, PHP, JavaScript/Node.js, C, and Shell scripting. Additionally, I have complete mastery of frontend design using HTML/CSS/JS + Photoshop.

Aside from programming, throughout the years, I've also gained experience online marketing – which allowed me the pleasure of working with and mentoring hundreds of people while helping them build successful companies in the online space. In 2005, I founded ClickIM, the world's first and Israel's largest school for performance marketing, where I taught 5,000+ students how to create successful online businesses.

In 2009, I led a multi-million-dollar product launch for MyAdWise (later renamed to Intango), which led me to the AdTech industry, where I developed models for both the Buy and Sell sides of online media Exchanges.

In 2013, I turned to algorithmic trading, after discovering I enjoy exploring capital markets and creating fully-automated, algorithmic trading strategies using quantitative and machine-learning models (primarily using Python).

In 2016, my youngest daughter was diagnosed with Leukemia, which caused my career to take a 3 year pause that only ended recently.

As an avid open-source supporter and contributor, I've released several popular open-source Python libraries thad had ~750K installs (according to PyPi). My open-source projects and contributions are available on my Github page.

If you're thinking of hiring me, know that my ideal job is one that will combine my passions for programming, finance and being paid handsomely :-). I believe that I can provide significant value to any business I end up working with.

To get in touch with me, simply send me an email or give me a shout on Twitter.