Community Detection & Network Analysis of the Stock Market in Python & R

Community Detection & Network Analysis of the Stock Market in Python & R

I will be explaining in the most simple way how you can use unsupervised machine learning tools like Community Detection and Network Analysis algorithms such as Louvain and Girvan-Newman to determine which stocks to keep in your portfolio and possibly make money of the stock market in Python and R.

Hello Readers,

This is my first post on Medium and I am very excited to share it with y’all.

I will be explaining in the most simple way how you can use unsupervised machine learning *tools like Community Detection and Network Analysis algorithms such as Louvain and Girvan-Newman to determine which stocks to keep in your portfolio and possibly make money of the stock market (even in today’s retail investor & fundamentally flawed fuelled rallies) in *Python and R.

The whole process will be broken down into three different parts for easier understanding and code segmentation.

Part 1 — Data Scraping and Preprocessing

Part 2 — Modelling

Part 3 — Portfolio Building

community-detection unsupervised-learning python r stock-market

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