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FINDING #3310 · UNIT ID 199730019

tensortrade-org/tensortrade

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

[ PYTHON ][ ORG ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.00849

ENGAGEMENT0.39

FRESHNESS1.34

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

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

6% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

14.00

ACCEL

+0.98

RETENTION

15.9%

PEAK 2026-08-19 · FORK-RETENTION 44.9% · 420 STARS / WINDOW

Author Audience

AUDIENCE

1,609

FOLLOWERS

OWNER ★

7,076

Engagement Signals

FORKS

1,319

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 420 / 420 (DIVERSITY 1.00)

Why This Is A Finding

tensortrade-org/tensortrade собрал 420 звёзд за окно, тогда как у автора всего 97 подписчиков — эффективная аудитория ≈ 1,609. Это даёт surprise-индекс 0.00849 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 44.9% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

Related Findings

RANKS ABOVE 65% OF 9591 FINDINGS

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METRICS IN CONTEXT

MEDIAN ACROSS ALL 9591 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.010.00+0.00ABOVE 65%

VELOCITY14.003.63+10.37ABOVE 85%

RETENTION15.9%24.8%-9.0 PPABOVE 33%

FORKS1,319120+1,199ABOVE 93%

SURPRISE0.010.01+0.00ABOVE 52%