PacktPublishing/Python-for-Algorithmic-Trading-Cookbook — GitHub trend

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FINDING #9155 · UNIT ID 649907135

PacktPublishing/Python-for-Algorithmic-Trading-Cookbook

Python for Algorithmic Trading Cookbook, published by Packt

[ JUPYTER NOTEBOOK ][ ORG ][ VERIFIED ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.000017

ENGAGEMENT0.66

FRESHNESS1.26

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

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

5% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

1.97

ACCEL

+0.10

RETENTION

5.0%

PEAK 2026-10-07 · FORK-RETENTION 29.4% · 59 STARS / WINDOW

Author Audience

AUDIENCE

115,751

FOLLOWERS

20,027

OWNER ★

75,638

Engagement Signals

FORKS

357

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 59 / 59 (DIVERSITY 1.00)

Why This Is A Finding

PacktPublishing/Python-for-Algorithmic-Trading-Cookbook собрал 59 звёзд за окно, тогда как у автора всего 20,027 подписчиков — эффективная аудитория ≈ 115,751. Это даёт surprise-индекс 0.000017 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 29.4% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

Related Findings

RANKS ABOVE 5% OF 9676 FINDINGS

#76Liuziyu77/Valen[ JUPYTER NOTEBOOK ]0.16 #252Akun-python/autumn-recruitment[ JUPYTER NOTEBOOK ]0.0666 #971bicky007/100-python-projects[ JUPYTER NOTEBOOK ]0.0216 #1038PaulamiB-git/solutions-prototypes[ JUPYTER NOTEBOOK ]0.0205 #1048philshiu/Drosophila_brain_model[ JUPYTER NOTEBOOK ]0.0204

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9676 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 5%

VELOCITY1.973.80-1.83ABOVE 18%

RETENTION5.0%20.0%-15.0 PPABOVE 14%

FORKS357142+215ABOVE 71%

SURPRISE0.000.01-0.01ABOVE 2%