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@saeedamen I've watched your video you youtube and it seems like tacpy starts in the middle of the quantitive finance process.
The Proposed Features List has quite a bit of potential as I can help with the different kinds of plots, more asset classes and other features.
What I'm struggling with is while I've been a professional trader/broker using blackrock software for my bloomberg terminal for over 7 years. Now that I am trying to generate my own code, cultivate my own data pipelines, process and do more algorithmic finance there is so many complicated elements. Where does your TCApy fit in with the stack of either trader workstation, robin hood, instant broker and so many more.
I would love to contribute but I was just starting to get a hold of the mstables module when Morningstar shut off their API. I'm working on adding your code to my stack but there seems to be very little guidance or standard setup in the algorithmic finance industry about end to end tools setup.
I've installed the quandl but that API is deprecated to nasdaq so I could help update that documentation. Now needs to be pip install Nasdaq-Data-Link The conda proxy data shown below crashed my anaconda so I had to completely reinstall it, some kind of proxy violation?

Some of the features say I need to run docker but the finmarketpy, chartpy, FinancePy, and findatapy all say to download locally. The instructions are quite verbose as I can imagine you want to cover your basis but its overwhelming to try and sort through it so maybe we can optimize the install and new user setup?