class-imbalance-handling-for-rare-signal-events SKILL.md skillA

class-imbalance-handling-for-rare-signal-events from himanshuj16/algo-trading-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add himanshuj16/algo-trading-skills/class-imbalance-handling-for-rare-signal-events@v1.1.0

Pins v1.1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
himanshuj16/algo-trading-skills
Path
skills/class-imbalance-handling-for-rare-signal-events/SKILL.md
Versions recorded
5
Latest version
v1.1.0, committed Sep 3, 2026
First version recorded
Jul 26, 2026
Size
7,553 bytes
Repository stars
50
License
Apache-2.0

Use when predicting rare events such as halts or flash crashes where one class is under a few percent; cost-sensitive weighting and undersampling with the probability recalibration that undersampling makes necessary.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

## When to Use

Use this skill when building quantitative models to predict highly asymmetric, rare events (e.g., flash crashes, limit-up/limit-down halts, or rare alpha signals). Financial datasets for rare events are often 99% noise and 1% signal. Standard models trained on this data will optimize for "Accuracy" by predicting 0 (noise) every time, completely ignoring the signal. This utility enforces class balancing to force the model to learn the minority class.

## When NOT to Use

- **The classes are only mildly imbalanced** (say, better than 1:4). Reweighting and undersampling both distort the class prior; below a real imbalance problem they cost calibration and buy nothing.
- **The model's probability output feeds expected-value sizing and you will not recalibrate.** Both weighting and undersampling shift predicted probabilities away from the true event rate. If you cannot apply `correct_undersampling_bias` (or an equivalent calibration step), leave the prior alone and move the decision threshold instead.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add himanshuj16/algo-trading-skills/class-imbalance-handling-for-rare-signal-events@sha256:47ed3b4512313f09

The line at the top of this page pins the label v1.1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_umm4u6sa57yxyabr.svg)](https://markdownregistry.com/a/art_umm4u6sa57yxyabr)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Jul 26, 2026 and Sep 3, 2026, about one every 10 days.

versioncommittedcommitsizeaudit
v1.1.0 latest2026-09-03 8527a51 7,553 BA view · diff
v1.1.02026-08-22 3ed130d 7,529 BA view · diff
v1.0.02026-08-07 89d1436 3,102 BA view · diff
v1.0.02026-07-30 dfc60c7 3,102 BA view · diff
v1.0.02026-07-26 fee1cf4 3,115 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (7553 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

himanshuj16/algo-trading-skills · 50 stars · license Apache-2.0 · pushed 2026-09-14 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_umm4u6sa57yxyabr
GET https://markdownregistry.com/api/v1/resolve?ref=himanshuj16/algo-trading-skills/class-imbalance-handling-for-rare-signal-events
GET https://markdownregistry.com/api/v1/blob/47ed3b4512313f09e72583b1f100137e88a109bd8fb28d25eb280e4684098a95

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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