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ZhuLinsen/daily_stock_analysis

Breakoutrank #8

LLM 驱动的多市场股票智能分析系统：多源行情、实时新闻、决策看板与自动推送，支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.

65.7k+7.1k · 7d 54.9k 734est. MITPythonpushed 16h ago
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Composite

77

conf 65%

Momentum

82

conf 60%

Vitality (PVI)

76

conf 67%

Community

62

conf 60%

Security & maint.

88

conf 85%

Ecosystem influence

74

conf 60%

Opportunity

65

conf 60%

Breakout · 7d

78%

conf 71%

Executive summary

daily_stock_analysis is currently classified as breakout with a composite score of 77/100. Momentum (82) and vitality (76) diverge — attention is running ahead of maintenance depth. Estimated 7-day gain of 7,093 stars against a 65.7k-star base. Risk is assessed as low; the interpretable model puts its probability of entering the top trend cohort within 7 days at 78%.

Analyst note

AI-drafted · numbers from tracked data

The momentum-vs-vitality relationship suggests that a project with high momentum (82/100) and strong vitality (76/100) is likely to experience significant growth, potentially leading to adoption. However, the analysis does not provide enough context or data to determine whether this trend will continue in the short term, making it difficult to predict whether adopting or building on this relationship is warranted at this time.

90-day trajectory

+28.1k · 30d
2026-07-012026-09-28

Score breakdown

Every input, weight and normalized value — nothing hidden. Inputs marked est. are estimated until the full ingestion pipeline lands.

Momentum

Star velocityest.25%100
Star accelerationest.15%54
Fork velocityest.10%100
Contributor growthest.10%100
Issue activity growthest.10%57
PR activity growthest.10%59
External mention velocityest.10%100
Release event impactest.5%78
Trending-rank persistenceest.5%59

Model tn-interpretable-1.0.0 · confidence 60% · coverage 100%

Project Vitality Index

Commit consistency20%98
Release cadenceest.15%72
PR responsivenessest.15%73
Issue responsivenessest.15%70
Contributor diversityest.10%100
Maintainer continuityest.10%48
Documentation qualityest.5%79
Dependency freshnessest.5%68
Security hygieneest.5%42

Model tn-interpretable-1.0.0 · confidence 67% · coverage 100%

Security & maintenance

Release recency25%98
License clarity20%92
Maintenance status25%98
Dependency stalenessest.15%58
Bus factorest.15%77

Model tn-interpretable-1.0.0 · confidence 85% · coverage 100%

Ecosystem influence

Dependent repositoriesest.30%100
Quality-weighted dependentsest.20%75
Documentation citationsest.15%55
Contributor overlapest.15%51
Registry adoptionest.10%29
Topic centralityest.10%100

Model tn-interpretable-1.0.0 · confidence 60% · coverage 92% · missing: packageRegistryAdoption