Repository intelligence

NVIDIA-AI-Blueprints/portfolio-optimization

GitHub

Powered by NVIDIA cuOpt: a GPU-accelerated portfolio optimization toolkit for building, backtesting, and scaling Mean-CVaR and Mean-Variance investment workflows with CUDA-X Data Science.

CLOUDM0N decision
REVIEW BEFORE ADOPTION
Trust REVIEW · 75/100
Good fit if

Teams whose requirements match this repository’s core capability.

Watch out for

Review deployment and security evidence before production adoption.

Practical intelligence

What matters before you adopt it

Best for
Teams whose requirements match this repository’s core capability.
Main trade-offs
Review deployment and security evidence before production adoption.
Trust & CVEs

Security evidence without the noise

Trust remains a decision signal; CVEs and scanner evidence explain what is driving the risk.

Security findings
1
CLOUDM0N scanner findings
Critical
0
High
1
Medium
0
Low
0
View trust evidence & security findings
Why this score
No trust rationale was stored for this scan.
CLOUDM0N findings
HIGH
Remote download piped or chained into a shell requires manual review. 2 sample match(es) found.
Architecture from code10 modules · 0 edges
Structural evidence

Modules and dependency edges extracted from repository code. This is code evidence, not README inference.

Code files
22
Modules
10
Dependency edges
0
Core modules
demo
2 files
src
15 files
Dependency flow
No dependency edges were extracted.
Detected languages
Python · Shell
Detected frameworks
Matplotlib · NumPy · Plotly · Pydantic · Streamlit · pandas · scikit-learn · yfinance
Architecture evidence details
flowchart TD
    %% portfolio-optimization — high-level architecture (DRAFT, refine me)
    n0["demo · 2 files"]
    n1["src · 15 files"]
    n2["tests · tests · 5 files"]
    class n2 test
    classDef test fill:#499894,color:#ffffff,stroke:#397975
Agent handoff
Use with any agent
JSON API
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