xsf0221/pattern-vista-cli
by Various
[](https://glama.ai/mcp/servers/xsf0221/pattern-vista-cli) ποΈ π π βοΈ π πͺ π§ - 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_stretchdeviation_rankingrecommended_patternsticker_reportaccount_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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