ml4t-feature-families skillA
ml4t-feature-families is agent-read markdown (skill) from ml4t/skills: Five families of financial features - momentum, mean-reversion, volatility, carry, and value. Use when designing a feature set to ensure coverage across complementary market dynamics..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Feature Families
A model trained on six momentum variants learns one signal six ways. Diversifying across feature families - each driven by a different economic mechanism - produces more robust predictions.
## The Problem
Feature sets dominated by a single family (e.g., all momentum) are highly correlated internally. The model wastes capacity learning redundant information and becomes fragile when that one mechanism stops working. A momentum crash wipes out all signal simultaneously.
## The Pattern
### WRONG
```python
import polars as pl
# All momentum variants - same family, correlated, fragile
features = df.with_columns(
mom_5d=pl.col("close").pct_change(5).over("symbol"),
mom_21d=pl.col("close").pct_change(21).over("symbol"),
mom_63d=pl.col("close").pct_change(63).over("symbol"),
mom_126d=pl.col("close").pct_change(126).over("symbol"),
mom_252d=pl.col("close").pct_change(252).over("symbol"),
)
```
### CORRECT
```python
import polars as pl
import numpy as np
# One representative from each family - diverse signals
features = df.sort("symbol", "timestamp").with_columns(
# Momentum: trend-following
…Read the whole file at its exact version.
How to install
mdr add ml4t/skills/ml4t-feature-families@git:20260901.c415df0mdr add ml4t/skills/ml4t-feature-families@sha256:3d24c9e672ba31e0Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_xqwvur7ztguh5vrc)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260901.c415df0 latest | 2026-09-01 | c415df0 | 4,294 B | A | view · diff |
| git:20260528.303089e | 2026-05-28 | 303089e | 4,312 B | A | view |
Audit of the latest version
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- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (4294 bytes)
- pass: No zero-width or bidi control characters
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- pass: No instruction to send local credentials anywhere
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- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
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Source
ml4t/skills · 19 stars · license Apache-2.0 · pushed 2026-09-24 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_xqwvur7ztguh5vrc GET https://markdownregistry.com/api/v1/resolve?ref=ml4t/skills/ml4t-feature-families GET https://markdownregistry.com/api/v1/blob/3d24c9e672ba31e014109ef20e8012d20a3e69e68a736232ec7a49c6444c4919
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