Stock Market Analysis with Python and Machine Learning - Ivan Brigida

We talked about:

• Ivan’s background


• How Ivan became interested in investing


• Getting financial data to run simulations


• Open, High, Low, Close, Volume


• Risk management strategy


• Testing your trading strategies


• Sticking to your strategy


• Important metrics and remembering about trading fees


• Important features


• Deployment


• How DataTalks.Club courses helped Ivan


• Ivan’s site and course sign-up

Links:

• Exploring Finance APIs: https://pythoninvest.com/long-read/exploring-finance-apis


• Python Invest Blog Articles: https://pythoninvest.com/blog

Free ML Engineering course: http://mlzoomcamp.com
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html

analysis courses data deployment features financial investing low machine machine learning management metrics python risk simulations stock stock market analysis strategies strategy testing trading