Welcome back to part 2 of my series on basic algo-trading! In this post, I actually use the prediction function we created previously to create a strategy and backtrade it on a mainstream stock! Let's dive in...

This March, my friends and I attended the ASA Five College Datafest 2018 and we actually won an award! In this post, I just want to briefly explain our process.

The world of trading can be treacherous and practically impossible to keep up with. However, with the recent introduction of commision-free trading platforms like Robinhood, participating in the stock market on a regular basis has become realistic for more people (like me!). After getting used to the terminology and platform, I realized the potential and power services like Robinhood provide with regards to taking control of your financials. But, there was one problem. I never quite felt like I was making informed decisions. Without confidence in my trades, I felt as though I was gambling, rather than trading.

Since I've been using it for about three years now, I would say that statement is pretty accurate. Recently, it dawned on me the amount of potential insights data from Asana could provide about my productivity. Sure enough, there is an 'Export to CSV' but in the actions menu (click the down arrow next to the project name in the center of the screen) for every project! Let's see what lies in my (un)productivity data...