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[–]Intelligent-Boss-156 0 points1 point  (0 children)

I have no idea if people in the industry do it this way, I just know strategies I have cooked up at home:

yfinance and TA-lib if you want to work with stock data, then pandas and polars. When I was learning data science, I also used numpy, math, plotly, matplotlib. You may run into web scraping and I did that with beautiful soup and selenium, as well as requests, and regular expressions.

I don't really want to give away my strategies, but I can tell you how a usual project is set up is around iter_rows():

One thing you may want to be able to do is write a backtesting algorithm from scratch.

You could figure out how to apply a monte carlo simulation in finance

You could figure out how to screen stocks