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smithery.ai

crypto-ta-analyzer

Run multi-indicator technical analysis on crypto or market OHLCV data. Use for deterministic trend, momentum, volume, and divergence analysis.

First seen Mar 15, 2026

Installation

$ npx skills add https://smithery.ai
View on skills.sh ↗ Website ↗

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Also in this package

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npx skills add https://smithery.ai
smithery-ai-cli 7.8K frontend-design 6.2K skill-creator 2.5K ck:ui-ux-pro-max 1.3K pdf 1.2K xlsx 966 pptx 894 docx 884 webapp-testing 1 web-design-reviewer 657

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 850 B
  • docs SUMMARY.md 214 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 3 installs

SKILL.md

Crypto TA Analyzer

Use the bundled indicators when the user needs explicit technical analysis rather than a narrative market opinion.

Workflow

  1. Get normalized OHLCV data first.
  2. Use scripts/dataconverter.py or scripts/coingeckoconverter.py when source formats need reshaping.
  3. Run scripts/ta_analyzer.py for the actual indicator stack and signal scoring.
  4. Explain indicator agreement, conflicts, and regime sensitivity instead of presenting one number without context.

Guardrails

  • Do not present signals as guaranteed outcomes.
  • Keep the distinction clear between deterministic indicator output and discretionary interpretation.