capacity-planning-for-symbol-universe-growth SKILL.md skillA

capacity-planning-for-symbol-universe-growth 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/capacity-planning-for-symbol-universe-growth@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/capacity-planning-for-symbol-universe-growth/SKILL.md
Versions recorded
5
Latest version
v1.1.0, committed Sep 3, 2026
First version recorded
Jul 25, 2026
Size
7,373 bytes
Repository stars
50
License
Apache-2.0

Use before expanding a strategy from a small basket to a large universe, to forecast CPU, memory and network bandwidth from per-symbol measurements. A first-order procurement estimate, not a load test.

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 preparing to scale a quantitative strategy from a small basket of symbols (e.g., 50 tech stocks) to a massive universe (e.g., Russell 3000 or global crypto pairs). The engine models the expected network bandwidth (Mbps), memory footprint (GB), and CPU core requirements based on peak market data tick rates, ensuring your infrastructure is scaled proactively to prevent latency spikes and dropped packets.

## When NOT to Use

- **As a substitute for measurement.** This is a first-order sizing model for a *procurement* decision. It does not model queueing delay distributions, NUMA effects, cache behaviour, GC pauses or kernel bypass. Before committing to a design, replay real captures at target rate.
- **When per-symbol rates are wildly skewed and you need a tight answer.** The model multiplies one peak rate by the symbol count. Real message rates follow a heavy-tailed distribution — a handful of names dominate — so a uniform peak applied across a 3,000-symbol universe overestimates aggregate load, while a uniform *average* underestimates the hot symbols that actually break your feed handler. See Common Pitfalls.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add himanshuj16/algo-trading-skills/capacity-planning-for-symbol-universe-growth@sha256:ee1bcfae393450c5

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_o4mpbokjm4zqxgef.svg)](https://markdownregistry.com/a/art_o4mpbokjm4zqxgef)

2 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
v1.1.0 latest2026-09-03 8527a51 7,373 BA view · diff
v1.1.02026-08-22 3ed130d 7,285 BA view · diff
v1.0.02026-08-07 89d1436 2,929 BA view · diff
v1.0.02026-07-30 dfc60c7 2,927 BA view · diff
v1.0.02026-07-25 777afdb 2,940 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 (7373 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_o4mpbokjm4zqxgef
GET https://markdownregistry.com/api/v1/resolve?ref=himanshuj16/algo-trading-skills/capacity-planning-for-symbol-universe-growth
GET https://markdownregistry.com/api/v1/blob/ee1bcfae393450c52b514a30f3f41e32d87647924f9048904eb366b5923a26e1

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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