Machine Learning Stocks, Part II

We had previously rolled out the “similar stocks” feature that grouped stocks based on risk and technical parameters. The idea of grouping/clustering stocks is that it allows you to find better alternatives to your favorite stocks. We combined machine learning with our Fundamental Quantitative Scores to cluster stocks based on fundamental metrics.

For example, here’s what Glenmark’s looks like:

Glenmark

 

Related:

Machine Learning Stocks
Quantitative Value Series
StockViz Trading/demat Account
Fundamental Quantitative Scores for Stocks

Comments are closed, but trackbacks and pingbacks are open.