LC248902/IMC-Prosperity-4-Backtester — GitHub trend

FINDING #6060 · UNIT ID 1345487956

LC248902/IMC-Prosperity-4-Backtester

⚡ Pure-Python Backtester for IMC Prosperity 4 — Python engine with built-in PnL charts, drawdown analysis, Sharpe/Calmar metrics, and Google Colab support. Clone → overwrite trader → run.

[ PYTHON ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.0125

ENGAGEMENT0.0494

FRESHNESS1.00

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

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

21% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

2.43

ACCEL

+1.04

RETENTION

27.3%

PEAK 2026-08-27 · FORK-RETENTION 0.0% · 17 STARS / WINDOW

Author Audience

AUDIENCE

154

FOLLOWERS

140

OWNER ★

142

Engagement Signals

FORKS

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 17 / 17 (DIVERSITY 1.00)

Why This Is A Finding

LC248902/IMC-Prosperity-4-Backtester собрал 17 звёзд за окно, тогда как у автора всего 140 подписчиков — эффективная аудитория ≈ 154. Это даёт surprise-индекс 0.0125 (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.

Related Findings

RANKS ABOVE 38% 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 38%

VELOCITY2.433.71-1.29ABOVE 32%

RETENTION27.3%39.3%-12.1 PPABOVE 33%

FORKS191-90ABOVE 4%

SURPRISE0.010.01+0.00ABOVE 58%