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GitHub / razamehar / Financial-Stock-Analysis-and-Clustering

Analyzed 157 US Energy stocks (Jan-Dec '23), identified Bullish/Bearish trends and risk categories. Used KMeans, Hierarchical, Spectral Clustering, revealing balanced returns and low volatility. Integrated data with Kafka for seamless subscriptions.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/razamehar%2FFinancial-Stock-Analysis-and-Clustering

Stars: 1
Forks: 1
Open Issues: 0

License: mit
Language: Jupyter Notebook
Repo Size: 4.34 MB
Dependencies: 0

Created: 4 months ago
Updated: 12 days ago
Last pushed: 12 days ago
Last synced: 11 days ago

Commit Stats

Commits: 12
Authors: 2
Mean commits per author: 6.0
Development Distribution Score: 0.25
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/razamehar/Financial-Stock-Analysis-and-Clustering

Topics: financial-analysis, hierarchical-clustering, kafka-producer, kmeans-clustering, python, rdd, stock-analysis

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