In this tutorial, you will learn how to find a combination of stocks with high expected return and low risk using Python.
Suppose you trained an algorithm which predicts the stock market correct about 70% of all cases. Now you would like to start using your algorithm in real life. Chances are that you don’t get what you expect! On every stock market, you have to pay fees for trading (both for buying and selling stocks). In this article, I will explain how I minimized the risk for my Bitcoin Stock Prediction algorithm mathematically. My algorithm and risk minimization is successfully tested on a Bitcoin stock market called Kraken.