Github Trends®
6380 findingsmedian surprise 0.0122window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: gharchive
FINDING #1868 · UNIT ID 1143925975
QuantaAlpha/QuantaAlpha
QuantaAlpha transforms how you discover quantitative alpha factors by combining LLM intelligence with evolutionary strategies. Just describe your research direction, and watch as factors are automatically mined, evolved, and validated through self-evolving trajectories.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00762
ENGAGEMENT0.20
FRESHNESS1.38
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
48% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
6.78
ACCEL
-0.01
RETENTION
26.3%
PEAK 2026-05-19 · FORK-RETENTION 0.0% · 610 STARS / WINDOW

Author Audience

AUDIENCE
849
FOLLOWERS
144
OWNER ★
2,805

Engagement Signals

FORKS
257
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 610 / 610 (DIVERSITY 1.00)

Why This Is A Finding

QuantaAlpha/QuantaAlpha собрал 610 звёзд за окно, тогда как у автора всего 144 подписчиков — эффективная аудитория ≈ 849. Это даёт surprise-индекс 0.00762 (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.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 6380 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 71%
VELOCITY6.783.99+2.78ABOVE 68%
RETENTION26.3%17.1%+9.2 PPABOVE 70%
FORKS25790+168ABOVE 76%
SURPRISE0.010.01-0.00ABOVE 39%