backtest-parameter-sensitivity-analysis SKILL.md skillA

backtest-parameter-sensitivity-analysis 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/backtest-parameter-sensitivity-analysis@v2.0.0

Pins v2.0.0 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/backtest-parameter-sensitivity-analysis/SKILL.md
Versions recorded
5
Latest version
v2.0.0, committed Sep 3, 2026
First version recorded
Jul 25, 2026
Size
7,174 bytes
Repository stars
50
License
Apache-2.0

Use after optimising strategy parameters, to perturb them across a grid and measure how fast Sharpe decays; separates a fragile overfit peak from a genuine plateau. It does not deflate the selected Sharpe for trial count.

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

Invoke this skill after optimizing strategy parameters. A strategy whose Sharpe jumps from 0.5 to 3.0 with a $\pm 1\%$ parameter tweak is overfit. This skill systematically perturbs parameters across a grid and measures the gradient of Sharpe ratio to distinguish fragile peaks from robust plateaus.

It is a **screen, not a certificate**. A plateau verdict says the optimum survives a one-step parameter perturbation. It says nothing about out-of-sample performance, regime stability, or whether the Sharpe is real.

## When NOT to Use

- **Not a Sharpe deflation.** `best_sharpe` is the maximum over N grid points and is upward-biased by selection even when true skill is zero — it is a maximum of N noisy estimates. Correcting it needs the trial count and the return distribution's higher moments. `total_grid_points` is reported so you can do that downstream; see `factor-research-multiple-testing-correction` and the Deflated Sharpe Ratio reference in `references/standards.md`.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add himanshuj16/algo-trading-skills/backtest-parameter-sensitivity-analysis@sha256:ceb583845fd579e2

The line at the top of this page pins the label v2.0.0, 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_lfwx3liaqklv6ftc.svg)](https://markdownregistry.com/a/art_lfwx3liaqklv6ftc)

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

Versions

The registry has recorded 5 versions of this file, between Jul 25, 2026 and Sep 3, 2026, about one every 10 days.

versioncommittedcommitsizeaudit
v2.0.0 latest2026-09-03 8527a51 7,174 BA view · diff
v2.0.02026-08-13 097e217 7,234 BA view · diff
v1.0.02026-08-07 89d1436 1,853 BA view · diff
v1.02026-07-30 dfc60c7 1,851 BA view · diff
v1.02026-07-25 9b0aad9 1,862 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 (7174 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_lfwx3liaqklv6ftc
GET https://markdownregistry.com/api/v1/resolve?ref=himanshuj16/algo-trading-skills/backtest-parameter-sensitivity-analysis
GET https://markdownregistry.com/api/v1/blob/ceb583845fd579e28d70891265c9b264fc54871369368662a614d3ceb96045c9

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.

More from himanshuj16/algo-trading-skills

algo-trading-skills Cursor rule
himanshuj16/algo-trading-skills · .cursor/rules/algo-trading-skills.mdc · Automatically discover and load algorithmic trading skills from the library in skills/
git:20260903.8527a51 · audit A · 50 stars
AGENTS.md AGENTS.md file
himanshuj16/algo-trading-skills · AGENTS.md
git:20260903.327fc0d · audit A · 50 stars
CLAUDE.md CLAUDE.md file
himanshuj16/algo-trading-skills · CLAUDE.md
git:20260907.26c257b · audit A · 50 stars
llms-full.txt llms.txt file
himanshuj16/algo-trading-skills · llms-full.txt
git:20260903.327fc0d · audit A · 50 stars
llms.txt llms.txt file
himanshuj16/algo-trading-skills · llms.txt
git:20260903.8527a51 · audit A · 50 stars
adaptive-batch-size-tuning-under-load SKILL.md skill
himanshuj16/algo-trading-skills · skills/adaptive-batch-size-tuning-under-load/SKILL.md · Use when writing high-volume ticks or order logs into TimescaleDB, ClickHouse or Kafka and one static batch size either…
v2.0.0 · audit A · 50 stars
adaptive-execution-under-volatility-spikes SKILL.md skill
himanshuj16/algo-trading-skills · skills/adaptive-execution-under-volatility-spikes/SKILL.md · Use before each child-order decision in a TWAP, VWAP or POV schedule when a volatility spike should bound…
v1.2.0 · audit A · 50 stars
adaptive-sampling-under-extreme-tick-rates SKILL.md skill
himanshuj16/algo-trading-skills · skills/adaptive-sampling-under-extreme-tick-rates/SKILL.md · Use when a trade-tick stream exceeds a consumer's measured processing ceiling and you must emit 1:N samples that still…
v1.2.0 · audit A · 50 stars
adjusted-vs-unadjusted-price-series-pitfalls SKILL.md skill
himanshuj16/algo-trading-skills · skills/adjusted-vs-unadjusted-price-series-pitfalls/SKILL.md · Use before loading historical OHLCV into a backtest, to declare and verify the adjustment mode; separates raw…
v1.3.0 · audit A · 50 stars
adversarial-robustness-of-trading-signals SKILL.md skill
himanshuj16/algo-trading-skills · skills/adversarial-robustness-of-trading-signals/SKILL.md · Use before promoting an ML trading signal, to measure how often epsilon-bounded feature perturbations flip its output…
v1.3.0 · audit A · 50 stars
adverse-selection-measurement-for-passive-orders SKILL.md skill
himanshuj16/algo-trading-skills · skills/adverse-selection-measurement-for-passive-orders/SKILL.md · Use when passive fills keep happening just before the market moves against you, measuring forward markouts in basis…
v1.3.0 · audit A · 50 stars
air-gapped-signing-workflow-for-cold-storage SKILL.md skill
himanshuj16/algo-trading-skills · skills/air-gapped-signing-workflow-for-cold-storage/SKILL.md · Use when moving crypto out of cold storage and the signing key must never touch an internet-connected machine; models…
v2.0.0 · audit A · 50 stars

Every file in himanshuj16/algo-trading-skills

Browse by kind, by grade A, or by owner.