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FINDING #1619 · UNIT ID 207623149

cantaro86/Financial-Models-Numerical-Methods

Collection of notebooks about quantitative finance, with interactive python code.

[ JUPYTER NOTEBOOK ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.0165

ENGAGEMENT0.20

FRESHNESS1.00

SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE

SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)

1% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

23.00

ACCEL

-14.50

RETENTION

32.1%

PEAK 2026-07-13 · FORK-RETENTION 0.0% · 69 STARS / WINDOW

Author Audience

AUDIENCE

1,353

FOLLOWERS

633

OWNER ★

7,214

Engagement Signals

FORKS

1,249

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 69 / 69 (DIVERSITY 1.00)

Why This Is A Finding

cantaro86/Financial-Models-Numerical-Methods собрал 69 звёзд за окно, тогда как у автора всего 633 подписчиков — эффективная аудитория ≈ 1,353. Это даёт surprise-индекс 0.0165 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

Related Findings

RANKS ABOVE 68% OF 5024 FINDINGS

#704lit26/finvizfinance[ JUPYTER NOTEBOOK ]0.0141 #792CalvinXKY/InfraTech[ JUPYTER NOTEBOOK ]0.0125 #1029Lordog/dive-into-llms[ JUPYTER NOTEBOOK ]0.00919 #1065Dashboard-Design/Power-BI-Design-Files[ JUPYTER NOTEBOOK ]0.00886 #1263lyogavin/airllm[ JUPYTER NOTEBOOK ]0.00734

METRICS IN CONTEXT

MEDIAN ACROSS ALL 5024 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.010.00+0.00ABOVE 68%

VELOCITY23.006.67+16.33ABOVE 83%

RETENTION32.1%46.5%-14.3 PPABOVE 39%

FORKS1,249116+1,133ABOVE 92%

SURPRISE0.020.01+0.00ABOVE 54%