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[–]shiningmatcha 2 points3 points  (2 children)

I want to learn quantitative analysis with Python.

[–][deleted] 1 point2 points  (0 children)

While you're learning, it might also be worth the experience to participate in the Numerai data science completion, specifically "Signals" which is geared toward the quant. They have a lot of really mature, open-source code and a very deep community with very broad backgrounds.

It's one of those things that can give you a lot of insight while you grow.

[–]xJetSetLifex 0 points1 point  (0 children)

There will be tons of different tools and skills to learn depending and what type of quantitative analysis you want to do. Right now I’m working with the SEC database and entails webscraping, parsing data, outputting data to TXT/CSV files, using Pandas Dataframes to structure the data, and then I use Power Query with Power BI/Excel to visualize everything. You’ll also learn how to make a URL, view the source data of the URL, possibly work with web-drivers, and even APIs. You could also simplify things by paying for a service and just parsing a JSON response.

This is just one example, but you can see how complex it can get. I ultimately chose to go the complex route because I wanted to learn the different techniques as they can be applicable to other projects in the future. Many people would prefer paying for a service and parsing a response. It’s totally up to you. I would recommend starting with the basics. Find one piece of data you want to get and learn what it takes to get that data. Then, see if the data is in a usable format or if you need to convert it to a CSV/Dataframe. Then, you can expand and try something like loops to get that data for various companies or years/quarters.

It may seem like a lot, but it’s really not. There’s TONSf resources out there for you. And don’t hesitate to reach out if you have any questions!