I'm surprised they didn't mentioned Machine Learning to further analyze the cryptocurrencies. Especially, that a few years ago an experiment shown, that if we would trade algorithmically on S&P500 via Machine Learning, traders could earn 8.5% returns comparing to the 5.6% by a random tactic. Here is a nice explanation: https://sigmoidal.io/machine-learning-for-trading/
I've started dabbling with R (started with Python and just got fed up with it and switched to R) and ML to analyze bitcoin from GDAX over the past few days. Coming from a non-stats background (I did time-series analysis in undergrad ala Econometrics but that was over a decade ago) I've had issues trying to create meaningful models. With packages like Caret[1] it is easy to slap code together and throw factors at the algorithms to see what sticks. The problem is that the models that are generated typically suck (I think the best RMSE I was able to get was around 12 and that was with linear regression model)
ML can definitely help trading by using things like Ensemble Learning[2] but I would argue that for the novice it isn't going to add much to a trading strategy than doing other analysis on their own would do.
