Skip to content

Detect Correlation in the Stock Market on the basis of various features. ● CLOSE feature is used as a criteria for comparing the stocks. ● R2_Score, Cosine Similarity and Normalized R2_Score are used as strategies to find the similarity. Technology Used: Python, NumPy, pandas, sklearn, matplotlib

Notifications You must be signed in to change notification settings

arpitnits/Similarity-Correlation--in-Stock-Market

Repository files navigation

Similarity-Correlation-in-Stock-Market


● Detect Correlation in the Stock Market on the basis of various features.
● CLOSE feature is used as a criteria for comparing the stocks.
● R2_Score, Cosine Similarity and Normalized R2_Score are used as strategies to find the similarity.

image

                ------Normalized R2 Score----

About

Detect Correlation in the Stock Market on the basis of various features. ● CLOSE feature is used as a criteria for comparing the stocks. ● R2_Score, Cosine Similarity and Normalized R2_Score are used as strategies to find the similarity. Technology Used: Python, NumPy, pandas, sklearn, matplotlib

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages