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xsf0221/pattern-vista-cli

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[](https://glama.ai/mcp/servers/xsf0221/pattern-vista-cli) πŸŽ–οΈ 🐍 🏠 ☁️ 🍎 πŸͺŸ 🐧 - End-of-day US equity technical data: how far each S&P 500 / Nasdaq 100 name has strayed from its

MCP

xsf0221/pattern-vista-cli

Added 13 Sept 2026

Overview

A Python command-line tool that provides end-of-day US equity technical data, showing how far each S&P 500 and Nasdaq 100 constituent has strayed from its reference level. It is distributed as an open-source repository on GitHub.

Best for

Best for
Developers needing a lightweight CLI for end-of-day equity deviation metrics.

Use cases

  • Screen S&P 500 and Nasdaq 100 names for large deviations from their baseline
  • Automate end-of-day technical checks in equity research workflows
  • Integrate deviation data into custom scripts or dashboards via CLI output

How to use

Install

pip install pattern-vista     # or: uvx pattern-vista whoami

Tools exposed

  • market_stretch
  • deviation_ranking
  • recommended_patterns
  • ticker_report
  • account_status

Tested with

Claude Desktop, Claude Code, Cursor

Notes

A Python command-line tool that provides end-of-day US equity technical data, showing how far each S&P 500 and Nasdaq 100 constituent has strayed from its reference level. It is distributed as an open-source repository on GitHub.

0 stars on GitHub. Last updated 2026-09-10. Licensed MIT.

Use cases

  • Screen S&P 500 and Nasdaq 100 names for large deviations from their baseline
  • Automate end-of-day technical checks in equity research workflows
  • Integrate deviation data into custom scripts or dashboards via CLI output

Pros

  • Open-source and free to use
  • Covers both S&P 500 and Nasdaq 100 constituents
  • Python-based, easy to call from scripts

Cons

  • No community traction yet (0 stars)
  • Limited to end-of-day data, not real-time
  • Documentation and maintenance are uncertain

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Open-source and free to use
  • Covers both S&P 500 and Nasdaq 100 constituents
  • Python-based, easy to call from scripts

Cons

  • No community traction yet (0 stars)
  • Limited to end-of-day data, not real-time
  • Documentation and maintenance are uncertain
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