Data Scientist turning Quant (I)— Why I became an Algo Trader
In short, I am a data scientist by trade and my investment portfolio turned from great, thanks to the 10-year bull market rally, to not-so-great. I am naive and assume that using the tools I use every day in my job could have prevented my returns to go down the gutter.
My quest is to learn from my mistakes and to investigate if I can predict the stock market by just using free data sources and opensource software on my MacBook Pro.
My goal is NOT to develop a fully automated high-frequency algo-trading machine that makes me rich while sleeping. My goal is to experiment and to learn, and I would like to take you, the reader, on a ride with me.
Since I am not trained in any investment strategy or have any strong believe in either the efficient market hypothesis nor technical analysis or any family of investment hypotheses, I thought about taking whatever theory is there and test it on actual data.
That was the plan, and of course it turned out to be more complex than I thought. This and further articles are meant to follow my approach as a non-financial data scientist to the challenge of predicting the stock market and automate investment decision making.
You are reading Part I, which about my personal background and motivation, as well as…
