stefan-jansen/machine-learning-for-trading — GitHub trend

◂ BACK TO LEADERBOARD

FINDING #3420 · UNIT ID 132754148

stefan-jansen/machine-learning-for-trading

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

[ JUPYTER NOTEBOOK ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.00332

ENGAGEMENT0.51

FRESHNESS1.00

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

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

0% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

17.33

ACCEL

+0.00

RETENTION

94.4%

PEAK 2026-08-08 · FORK-RETENTION 80.0% · 52 STARS / WINDOW

Author Audience

AUDIENCE

5,179

FOLLOWERS

2,750

OWNER ★

24,287

Engagement Signals

FORKS

5,507

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 52 / 52 (DIVERSITY 1.00)

Why This Is A Finding

stefan-jansen/machine-learning-for-trading собрал 52 звёзд за окно, тогда как у автора всего 2,750 подписчиков — эффективная аудитория ≈ 5,179. Это даёт surprise-индекс 0.00332 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 80.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

Related Findings

RANKS ABOVE 61% OF 8676 FINDINGS

#170xbsheng/atguigu-note[ JUPYTER NOTEBOOK ]0.11 #230TrustAI-laboratory/Learn-Prompt-Hacking[ JUPYTER NOTEBOOK ]0.0824 #399neoteai/N0-Foundation[ JUPYTER NOTEBOOK ]0.0376 #572lyogavin/airllm[ JUPYTER NOTEBOOK ]0.027 #924Morteza-Asadi-Shalmaiy/facial-recognition-pipeline[ JUPYTER NOTEBOOK ]0.0169

METRICS IN CONTEXT

MEDIAN ACROSS ALL 8676 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00+0.00ABOVE 61%

VELOCITY17.335.67+11.67ABOVE 82%

RETENTION94.4%33.3%+61.1 PPABOVE 95%

FORKS5,507339+5,168ABOVE 93%

SURPRISE0.000.00-0.00ABOVE 45%