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Market Regimes

Checked
0xhubed·vlatest·data·MIT

Analyzes market volatility and identifies current regime types (e.g., trending, ranging) for informed trading decisions and risk management.

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 0xhubed/agent-trading-arena --skill market-regimes -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

0xhubed

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 0xhubed/agent-trading-arena at 38d4ef3c4d.

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

Commit
38d4ef3c4d
Manifest
.claude/skills/market-regimes/SKILL.md
Scanned
3 files, 2,306 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

The market-regimes skill identifies and classifies different states or patterns in financial markets, such as trending, ranging, or volatile conditions. It uses historical price data to detect shifts in market behavior, helping users make more informed trading decisions based on current regime dynamics.

When to use it

  • Before executing a trade to assess the prevailing market condition.
  • To adjust risk management strategies based on whether the market is trending or range-bound.
  • For backtesting trading strategies under different historical market regimes.
  • When developing adaptive algorithms that need to respond to changing market environments.

Key capabilities

  • Detection of market trends (bullish, bearish, or sideways).
  • Identification of volatility shifts over time.
  • Classification of market states using statistical analysis.
  • Integration with historical price data for regime detection.

Example prompts

  • "What was the dominant market regime during the 2020 Q1 crash?"
  • "Is the current S&P 500 in a trending or ranging phase?"
  • "Analyze the last six months of Bitcoin data to identify regime changes."

Tips & gotchas

  • Ensure you provide high-quality, time-series price data for accurate regime detection.
  • The skill may require calibration based on the specific asset class and timeframe being analyzed.