Is AssayingAnomalies Safe? — PyPI Package 2026
AssayingAnomalies has a Trust Score of 48/100 (D). 0 downloads. Updated September 2026.
48
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| Author | Joshua Lawson |
|---|---|
| License | Not specified |
FAQ
Is AssayingAnomalies safe?
Trust: 48/100 (D). This library is a Python implementation of the MATLAB Toolkit that accompanies Novy-Marx and Velikov (2023) and is to be used for empirical academic a.
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Last updated September 2026. Trust scores based on automated analysis of public data.