Latest results using a price prediction trading algorithm for Bitcoin.

Is machine learning trading a viable strategy for crypto markets?

Machine learning and huge macro economic datasets have been used in stocks and forex trading since the late 90s and is being widely used to this day across most mature markets.

With the introduction of easily accessible machine learning libraries, free financial datasets, and practically commission-free trading on assets such as Bitcoin — machine learning trading is easily accessible to virtually anyone. But just because it’s possible, does it make sense and is it profitable?

I love challenges like this so in order to test it, I built a crypto trading algorithm that uses a machine learning model that ingested several years worth of Bitcoin candlestick data in order to predict a future price and make a trade based on this prediction. I’ve also open sourced this project and I will leave a link to the GitHub repository in the footer.

The trading strategy

First off, allow me to briefly explain what the strategy is and how the Bitcoin trading algorithm actually works, if you want to find out more about why it works this way, I covered this in my original article on this topic here.