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taichi0913/gold-macro-fairvalue

https://github.com/taichi0913/gold-macro-fairvalue · scanned 2026-06-16 04:39 UTC (1 month, 3 weeks ago)

5 raw signals (0 security + 5 graph)

UNIFIED Repobility · multi-layer engine · AI coders

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Last scanned 1 month, 3 weeks ago · v1 · 5 actionable findings from 1 signal source. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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All 21 nodes from the latest scan, grouped by kind. Each node is a unit the engine identified (file, function, endpoint, table…). Most users won't need this view — it's primarily for debugging the engine's graph extraction or for AI agents that want to enumerate the project structure.

LabelLayerStatusPath
fit_ols software healthy model.py:34
rolling_beta software healthy model.py:49
residual_zscore software healthy model.py:64
contribution_breakdown software healthy model.py:70
change_attribution software healthy model.py:109
fair_price software dead model.py:150
mispricing software healthy model.py:155
fetch_raw software healthy data.py:61
transform software healthy data.py:87
build_panel software healthy data.py:99
add_engineered software healthy data.py:121
load_panel software healthy app.py:27
cached_rolling_beta software healthy app.py:33

LabelLayerStatusPath
model.py software healthy model.py
data.py software healthy data.py
requirements.txt software healthy requirements.txt
README.md software healthy README.md
app.py software healthy app.py

LabelLayerStatusPath
FitResult software healthy model.py:26
Series software healthy data.py:18

LabelLayerStatusPath
taichi0913__gold-macro-fairvalue software healthy /data/fable5_failed_archive/taichi0913__gold-macro-fairvalue
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