Github Trends®
9172 findingsmedian surprise 0.00343window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #509 · UNIT ID 1313854485
lentrade/trading-awesome
A curated guide to the tools traders actually use: market data APIs, brokerage and exchange APIs, crypto and on-chain analytics, forex platforms, charting, backtesting, and automation. Compare features, markets, pricing, and Python, Go, and PHP SDKs to build reliable, repeatable trading workflows across global markets
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.09
ENGAGEMENT0.20
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
45% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
4.29
ACCEL
+3.21
RETENTION
0.0%
PEAK 2026-10-19 · FORK-RETENTION 0.0% · 30 STARS / WINDOW

Author Audience

AUDIENCE
8
FOLLOWERS
1
OWNER ★
66

Engagement Signals

FORKS
8
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 30 / 30 (DIVERSITY 1.00)

Why This Is A Finding

lentrade/trading-awesome собрал 30 звёзд за окно, тогда как у автора всего 1 подписчиков — эффективная аудитория ≈ 8. Это даёт surprise-индекс 0.09 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9172 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.030.00+0.03ABOVE 94%
VELOCITY4.293.14+1.14ABOVE 60%
RETENTION0.0%23.8%-23.8 PPABOVE 0%
FORKS8276-268ABOVE 5%
SURPRISE0.090.00+0.09ABOVE 96%