LloydJI/R-project-Crypto-Stock-Return-Data-Calculating-Returns-Uncorrelated-Clusters
This project involves scraping cryptocurrency and stock price data in R. This data is then used to calculate daily returns, then use those daily returns to create a hierarchical cluster. Clustering investments based on their similarity or dissimilarity is a common portfolio management & optimization tool
This tool helps financial analysts or portfolio managers analyze investment assets. It takes raw cryptocurrency and stock price data, calculates daily returns, and then groups these investments into uncorrelated clusters. This allows for identifying diversified investment opportunities and optimizing portfolio allocation.
No commits in the last 6 months.
Use this if you need to quickly identify and group cryptocurrencies and stocks that behave independently to improve portfolio diversification.
Not ideal if you need real-time trading signals or predictive analytics for future price movements.
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/perception/LloydJI/R-project-Crypto-Stock-Return-Data-Calculating-Returns-Uncorrelated-Clusters"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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