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Technical Analyst

Listed
tradermonty·vlatest·data·MIT

This Technical Analyst skill helps you quickly diagnose and troubleshoot tech issues by providing detailed insights and potential solutions.

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 tradermonty/claude-trading-skills --skill technical-analyst -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

tradermonty

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: financialmodelingprep.com.

    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.

    Hosts contacted

    financialmodelingprep.comundeclared

    What it found

    • skills/technical-analyst/scripts/check_weekly_price_action.py:73contacts financialmodelingprep.com
      STABLE_EOD_URL = "https://financialmodelingprep.com/stable/historical-price-eod/full"
  • 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 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 tradermonty/claude-trading-skills at fac23bed61.

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

Scanned
16 files, 5,854 lines
Copies in repo
3 — all of them scanned
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 allows an AI agent to perform technical analysis on financial markets. It can identify chart patterns, calculate common technical indicators like moving averages and RSI, and generate buy/sell signals based on these analyses. The agent can also provide explanations for its reasoning behind the identified patterns or signals.

When to use it

  • Generating trading ideas: Ask the agent to analyze a specific stock or cryptocurrency and suggest potential entry or exit points.
  • Backtesting strategies: Provide historical data and ask the agent to evaluate the performance of a technical analysis-based trading strategy.
  • Understanding market trends: Request an explanation of current market behavior based on technical indicators.
  • Identifying chart patterns: Ask the agent to identify specific chart formations (e.g., head and shoulders, double bottom) in a given price chart.

Key capabilities

  • Chart pattern identification
  • Technical indicator calculation (moving averages, RSI)
  • Buy/sell signal generation
  • Explanation of analysis reasoning

Example prompts

  • "Analyze the daily chart for AAPL and identify any significant technical patterns."
  • "Calculate the 14-day RSI for Bitcoin and tell me if it indicates overbought or oversold conditions."
  • “Based on a MACD crossover, should I buy or sell TSLA?”

Tips & gotchas

The accuracy of the analysis depends heavily on the quality and completeness of the provided data. This skill is best used in conjunction with other forms of market analysis (e.g., fundamental analysis).