Github Trends®
6295 findingsmedian surprise 0.0121window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: gharchive
FINDING #5720 · UNIT ID 1185486225
evelyyyyynnnnn/3.0-Financial-Ai-Systems
Machine learning and optimization models designed to enhance financial system stability through portfolio optimization, risk forecasting, and network-based financial risk analysis.
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00533
ENGAGEMENT0.20
FRESHNESS1.38
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
27% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S10 · S10

Growth Telemetry

VELOCITY /D
2.50
ACCEL
-0.01
RETENTION
40.9%
PEAK 2026-06-23 · FORK-RETENTION 0.0% · 75 STARS / WINDOW

Author Audience

AUDIENCE
429
FOLLOWERS
248
OWNER ★
1,829

Engagement Signals

FORKS
48
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 75 / 75 (DIVERSITY 1.00)

Why This Is A Finding

evelyyyyynnnnn/3.0-Financial-Ai-Systems собрал 75 звёзд за окно, тогда как у автора всего 248 подписчиков — эффективная аудитория ≈ 429. Это даёт surprise-индекс 0.00533 (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 6295 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 9%
VELOCITY2.504.23-1.73ABOVE 28%
RETENTION40.9%29.4%+11.5 PPABOVE 72%
FORKS4892-44ABOVE 33%
SURPRISE0.010.01-0.01ABOVE 32%