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FINDING #4949 · 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

SURPRISE0.0045

ENGAGEMENT0.38

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

7.43

ACCEL

-1.39

RETENTION

28.0%

PEAK 2026-08-24 · FORK-RETENTION 50.0% · 52 STARS / WINDOW

Author Audience

AUDIENCE

1,611

FOLLOWERS

OWNER ★

7,083

Engagement Signals

FORKS

1,319

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 52 / 52 (DIVERSITY 1.00)

Why This Is A Finding

tensortrade-org/tensortrade собрал 52 звёзд за окно, тогда как у автора всего 97 подписчиков — эффективная аудитория ≈ 1,611. Это даёт surprise-индекс 0.0045 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 50.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

Related Findings

RANKS ABOVE 49% OF 9771 FINDINGS

#05MddIdd/mdd-sim-gateway[ PYTHON ]0.41 #08zeenie-ai/OpenCompany[ PYTHON ]0.38 #15litaolemo/xtquant_big_convert[ PYTHON ]0.33 #23917Dhj/DeepPaperNote[ PYTHON ]0.27 #24LBH-123-AI/Comfyui_Minimax_h3_latent_Upscaler[ PYTHON ]0.27

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9771 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 49%

VELOCITY7.433.71+3.71ABOVE 72%

RETENTION28.0%39.3%-11.3 PPABOVE 34%

FORKS1,31991+1,228ABOVE 94%

SURPRISE0.000.01-0.00ABOVE 33%