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FINDING #4879 · 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

SURPRISE0.00485

ENGAGEMENT0.40

FRESHNESS1.00

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

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

1% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

8.00

ACCEL

-0.96

RETENTION

30.0%

PEAK 2026-08-24 · FORK-RETENTION 42.9% · 56 STARS / WINDOW

Author Audience

AUDIENCE

1,609

FOLLOWERS

OWNER ★

7,076

Engagement Signals

FORKS

1,319

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 56 / 56 (DIVERSITY 1.00)

Why This Is A Finding

tensortrade-org/tensortrade собрал 56 звёзд за окно, тогда как у автора всего 97 подписчиков — эффективная аудитория ≈ 1,609. Это даёт surprise-индекс 0.00485 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 42.9% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

Related Findings

RANKS ABOVE 50% OF 9760 FINDINGS

#08MddIdd/mdd-sim-gateway[ PYTHON ]0.41 #17litaolemo/xtquant_big_convert[ PYTHON ]0.36 #20LBH-123-AI/Comfyui_Minimax_h3_latent_Upscaler[ PYTHON ]0.34 #24zeenie-ai/OpenCompany[ PYTHON ]0.30 #25917Dhj/DeepPaperNote[ PYTHON ]0.29

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9760 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00+0.00ABOVE 50%

VELOCITY8.003.71+4.29ABOVE 73%

RETENTION30.0%38.0%-8.0 PPABOVE 38%

FORKS1,31986+1,233ABOVE 94%

SURPRISE0.000.01-0.01ABOVE 33%