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Algorithmic Trading

Checked
omer-metin·vlatest·data·Apache-2.0

This skill automates stock trades based on pre-defined algorithms, optimizing profits and minimizing risk for efficient investment strategies.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add omer-metin/skills-for-antigravity --skill algorithmic-trading -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

omer-metin

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned omer-metin/skills-for-antigravity at e8dcf4e873.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
e8dcf4e873
Manifest
skills/algorithmic-trading/SKILL.md
Scanned
4 files, 431 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill automates stock trades based on pre-defined algorithms, optimizing profits and minimizing risk for efficient investment strategies. The agent will ground its responses in specific reference files to ensure accuracy and adherence to established patterns and constraints. It is designed to follow strict rules and provide objective validations of user inputs related to algorithmic trading.

When to use it

  • When you need automated stock trades executed based on a defined strategy.
  • To understand potential risks associated with your trading approach, as identified in the reference files.
  • To validate the correctness and constraints of your proposed trading rules.
  • For guidance on how to build algorithmic trading strategies according to established patterns.

Key capabilities

  • Automated stock trade execution based on algorithms.
  • Risk identification and explanation using references/sharp_edges.md.
  • Validation of user inputs against defined constraints in references/validations.md.
  • Guidance on strategy construction following patterns outlined in references/patterns.md.

Example prompts

  • "Can you execute a buy order for 100 shares of AAPL based on my algorithm?"
  • "What are the potential risks associated with this trading strategy?"
  • "Validate these rules for my algorithmic trade: [insert rules here]."

Tips & gotchas

  • The agent relies heavily on three reference files (references/patterns.md, references/sharp_edges.md, and references/validations.md). Always expect the agent to consult these when responding.
  • If your request conflicts with guidance in the reference files, the agent will politely correct you using information from those sources.
  • This skill is specifically for algorithmic trading; general investment advice is outside its scope.