sogeking30/CLUSTERING-MARKET-REGIMES
51
📊 Detect market regimes by clustering probability distributions using Wasserstein K-means for more accurate financial analysis and insights.
What's novel
📊 Detect market regimes by clustering probability distributions using Wasserstein K-means for more accurate financial analysis and insights.
Score Breakdown
Innovation
4 (25%)
Craft
46 (35%)
Traction
8 (15%)
Scope
53 (25%)
Signal breakdown
Innovation
Not Fork+1
Code Novelty+0
Unique Niche+1
Concept Novelty+2
Craft
Ci+0
Tests-1
Polish+1
Releases+0
Has License+0
Code Quality+12
Readme Quality+15
Recent Activity+7
Structure Quality+5
Commit Consistency+2
Has Dependency Mgmt+5
Traction
Forks+0
Stars+6
Hn Points+0
Watchers+0
Early Traction+0
Devto Reactions+0
Community Contribs+2
Scope
Commits+5
Languages+3
Subsystems+5
Bloat Penalty+0
Completeness+6
Contributors+6
Authored Files+12
Readme Code Match+3
Architecture Depth+5
Implementation Depth+8
Evidence
Commits
8
Contributors
2
Files
51
Active weeks
3
TestsCI/CDREADMELicenseContributing
Repository
Language
Python
Stars
1
Forks
0
License
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