to do

Random stuff to do later:

machine learning for finance Packt book:
https://subscription.packtpub.com/book/data/9781789346411/10/ch10lvl1sec42/decision-trees

decision tree for stock market
https://blog.quantinsti.com/decision-tree/

nice backtests:
https://www.pythonforfinance.net/2017/07/31/bollinger-band-trading-strategy-backtest-in-python/

Interesting stuff from quantisti and kaggle (opportunities for expansion):

simple pytorch algorithm to make basic neural net:

Iris flower dataset with pytorch

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