FINDING #7831 · UNIT ID 287463830
microsoft/qlib
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
SURPRISE SCORE
0.00
Score Breakdown
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
0% OF STARS IN ARCHIVE
Growth Telemetry
VELOCITY /D
11.67
ACCEL
-6.50
RETENTION
0.0%
PEAK 2026-10-11 · FORK-RETENTION 0.0% · 35 STARS / WINDOW
Author Audience
AUDIENCE
3,900,295
FOLLOWERS
131,543
OWNER ★
2,805,660
Engagement Signals
FORKS
7,785
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 35 / 35 (DIVERSITY 1.00)
Why This Is A Finding
microsoft/qlib собрал 35 звёзд за окно, тогда как у автора всего 131,543 подписчиков — эффективная аудитория ≈ 3,900,295. Это даёт surprise-индекс 0.00000299 (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 3% OF 8038 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 8038 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 3%
VELOCITY11.675.67+6.00ABOVE 73%
RETENTION0.0%14.3%-14.3 PPABOVE 0%
FORKS7,785333+7,453ABOVE 95%
SURPRISE0.000.01-0.01ABOVE 1%